From 1a63e18df573b4d68f48b3a58ed2c2a8211bb2e3 Mon Sep 17 00:00:00 2001 From: christof-wittreich Date: Mon, 12 Aug 2024 14:41:40 -0400 Subject: [PATCH 01/14] Dependency Updates 08-09-24 (#5402) --- package-lock.json | 90 +++++++++++++++++++++++++++-------------------- package.json | 10 +++--- 2 files changed, 57 insertions(+), 43 deletions(-) diff --git a/package-lock.json b/package-lock.json index f46db2dcd5..458f599d23 100644 --- a/package-lock.json +++ b/package-lock.json @@ -84,11 +84,11 @@ "@babel/plugin-transform-private-methods": "^7.24.7", "@babel/preset-env": "^7.25.3", "@babel/preset-react": "^7.24.7", - "@playwright/test": "^1.45.2", + "@playwright/test": "^1.46.0", "@pmmmwh/react-refresh-webpack-plugin": "^0.5.15", "@webpack-cli/serve": "^2.0.5", "ajv": "^8.17.1", - "autoprefixer": "^10.4.19", + "autoprefixer": "^10.4.20", "babel-loader": "^9.1.3", "cheerio": "^1.0.0-rc.12", "clean-webpack-plugin": "^4.0.0", @@ -102,9 +102,9 @@ "eslint-config-standard": "^17.1.0", "eslint-import-resolver-webpack": "^0.13.8", "eslint-plugin-import": "^2.29.1", - "eslint-plugin-jest": "^28.6.0", + "eslint-plugin-jest": "^28.8.0", "eslint-plugin-jsx-a11y": "^6.9.0", - "eslint-plugin-n": "^17.10.1", + "eslint-plugin-n": "^17.10.2", "eslint-plugin-no-storage": "^1.0.2", "eslint-plugin-node": "^11.1.0", "eslint-plugin-promise": "^6.6.0", @@ -121,7 +121,7 @@ "node-ssh": "^13.2.0", "npm-run-all": "^4.1.5", "patch-package": "^8.0.0", - "postcss": "^8.4.40", + "postcss": "^8.4.41", "postcss-loader": "^8.1.1", "react-refresh": "^0.14.1", "react-test-renderer": "^18.3.0", @@ -3305,13 +3305,13 @@ } }, "node_modules/@playwright/test": { - "version": "1.45.3", - "resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.45.3.tgz", - "integrity": "sha512-UKF4XsBfy+u3MFWEH44hva1Q8Da28G6RFtR2+5saw+jgAFQV5yYnB1fu68Mz7fO+5GJF3wgwAIs0UelU8TxFrA==", + "version": "1.46.0", + "resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.46.0.tgz", + "integrity": "sha512-/QYft5VArOrGRP5pgkrfKksqsKA6CEFyGQ/gjNe6q0y4tZ1aaPfq4gIjudr1s3D+pXyrPRdsy4opKDrjBabE5w==", "dev": true, "license": "Apache-2.0", "dependencies": { - "playwright": "1.45.3" + "playwright": "1.46.0" }, "bin": { "playwright": "cli.js" @@ -4632,7 +4632,9 @@ } }, "node_modules/autoprefixer": { - "version": "10.4.19", + "version": "10.4.20", + "resolved": "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.20.tgz", + "integrity": "sha512-XY25y5xSv/wEoqzDyXXME4AFfkZI0P23z6Fs3YgymDnKJkCGOnkL0iTxCa85UTqaSgfcqyf3UA6+c7wUvx/16g==", "dev": true, "funding": [ { @@ -4650,11 +4652,11 @@ ], "license": "MIT", "dependencies": { - "browserslist": "^4.23.0", - "caniuse-lite": "^1.0.30001599", + "browserslist": "^4.23.3", + "caniuse-lite": "^1.0.30001646", "fraction.js": "^4.3.7", "normalize-range": "^0.1.2", - "picocolors": "^1.0.0", + "picocolors": "^1.0.1", "postcss-value-parser": "^4.2.0" }, "bin": { @@ -5178,7 +5180,9 @@ } }, "node_modules/browserslist": { - "version": "4.23.1", + "version": "4.23.3", + "resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.23.3.tgz", + "integrity": "sha512-btwCFJVjI4YWDNfau8RhZ+B1Q/VLoUITrm3RlP6y1tYGWIOa+InuYiRGXUBXo8nA1qKmHMyLB/iVQg5TT4eFoA==", "funding": [ { "type": "opencollective", @@ -5195,10 +5199,10 @@ ], "license": "MIT", "dependencies": { - "caniuse-lite": "^1.0.30001629", - "electron-to-chromium": "^1.4.796", - "node-releases": "^2.0.14", - "update-browserslist-db": "^1.0.16" + "caniuse-lite": "^1.0.30001646", + "electron-to-chromium": "^1.5.4", + "node-releases": "^2.0.18", + "update-browserslist-db": "^1.1.0" }, "bin": { "browserslist": "cli.js" @@ -5341,7 +5345,9 @@ } }, "node_modules/caniuse-lite": { - "version": "1.0.30001636", + "version": "1.0.30001651", + "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001651.tgz", + "integrity": "sha512-9Cf+Xv1jJNe1xPZLGuUXLNkE1BoDkqRqYyFJ9TDYSqhduqA4hu4oR9HluGoWYQC/aj8WHjsGVV+bwkh0+tegRg==", "funding": [ { "type": "opencollective", @@ -7017,7 +7023,9 @@ "license": "MIT" }, "node_modules/electron-to-chromium": { - "version": "1.4.811", + "version": "1.5.5", + "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.5.tgz", + "integrity": "sha512-QR7/A7ZkMS8tZuoftC/jfqNkZLQO779SSW3YuZHP4eXpj3EffGLFcB/Xu9AAZQzLccTiCV+EmUo3ha4mQ9wnlA==", "license": "ISC" }, "node_modules/element-resize-detector": { @@ -7690,17 +7698,19 @@ } }, "node_modules/eslint-plugin-jest": { - "version": "28.6.0", + "version": "28.8.0", + "resolved": "https://registry.npmjs.org/eslint-plugin-jest/-/eslint-plugin-jest-28.8.0.tgz", + "integrity": "sha512-Tubj1hooFxCl52G4qQu0edzV/+EZzPUeN8p2NnW5uu4fbDs+Yo7+qDVDc4/oG3FbCqEBmu/OC3LSsyiU22oghw==", "dev": true, "license": "MIT", "dependencies": { - "@typescript-eslint/utils": "^6.0.0 || ^7.0.0" + "@typescript-eslint/utils": "^6.0.0 || ^7.0.0 || ^8.0.0" }, "engines": { "node": "^16.10.0 || ^18.12.0 || >=20.0.0" }, "peerDependencies": { - "@typescript-eslint/eslint-plugin": "^6.0.0 || ^7.0.0", + "@typescript-eslint/eslint-plugin": "^6.0.0 || ^7.0.0 || ^8.0.0", "eslint": "^7.0.0 || ^8.0.0 || ^9.0.0", "jest": "*" }, @@ -7743,9 +7753,9 @@ } }, "node_modules/eslint-plugin-n": { - "version": "17.10.1", - "resolved": "https://registry.npmjs.org/eslint-plugin-n/-/eslint-plugin-n-17.10.1.tgz", - "integrity": "sha512-hm/q37W6efDptJXdwirsm6A257iY6ZNtpoSG0wEzFzjJ3AhL7OhEIhdSR2e4OdYfHO5EDeqlCfFrjf9q208IPw==", + "version": "17.10.2", + "resolved": "https://registry.npmjs.org/eslint-plugin-n/-/eslint-plugin-n-17.10.2.tgz", + "integrity": "sha512-e+s4eAf5NtJaxPhTNu3qMO0Iz40WANS93w9LQgYcvuljgvDmWi/a3rh+OrNyMHeng6aOWGJO0rCg5lH4zi8yTw==", "dev": true, "license": "MIT", "dependencies": { @@ -12822,7 +12832,9 @@ "license": "MIT" }, "node_modules/node-releases": { - "version": "2.0.14", + "version": "2.0.18", + "resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.18.tgz", + "integrity": "sha512-d9VeXT4SJ7ZeOqGX6R5EM022wpL+eWPooLI+5UpWn2jCT1aosUQEhQP214x33Wkwx3JQMvIm+tIoVOdodFS40g==", "license": "MIT" }, "node_modules/node-ssh": { @@ -13715,13 +13727,13 @@ } }, "node_modules/playwright": { - "version": "1.45.3", - "resolved": "https://registry.npmjs.org/playwright/-/playwright-1.45.3.tgz", - "integrity": "sha512-QhVaS+lpluxCaioejDZ95l4Y4jSFCsBvl2UZkpeXlzxmqS+aABr5c82YmfMHrL6x27nvrvykJAFpkzT2eWdJww==", + "version": "1.46.0", + "resolved": "https://registry.npmjs.org/playwright/-/playwright-1.46.0.tgz", + "integrity": "sha512-XYJ5WvfefWONh1uPAUAi0H2xXV5S3vrtcnXe6uAOgdGi3aSpqOSXX08IAjXW34xitfuOJsvXU5anXZxPSEQiJw==", "dev": true, "license": "Apache-2.0", "dependencies": { - "playwright-core": "1.45.3" + "playwright-core": "1.46.0" }, "bin": { "playwright": "cli.js" @@ -13734,9 +13746,9 @@ } }, "node_modules/playwright-core": { - "version": "1.45.3", - "resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.45.3.tgz", - "integrity": "sha512-+ym0jNbcjikaOwwSZycFbwkWgfruWvYlJfThKYAlImbxUgdWFO2oW70ojPm4OpE4t6TAo2FY/smM+hpVTtkhDA==", + "version": "1.46.0", + "resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.46.0.tgz", + "integrity": "sha512-9Y/d5UIwuJk8t3+lhmMSAJyNP1BUC/DqP3cQJDQQL/oWqAiuPTLgy7Q5dzglmTLwcBRdetzgNM/gni7ckfTr6A==", "dev": true, "license": "Apache-2.0", "bin": { @@ -13763,9 +13775,9 @@ } }, "node_modules/postcss": { - "version": "8.4.40", - "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.40.tgz", - "integrity": "sha512-YF2kKIUzAofPMpfH6hOi2cGnv/HrUlfucspc7pDyvv7kGdqXrfj8SCl/t8owkEgKEuu8ZcRjSOxFxVLqwChZ2Q==", + "version": "8.4.41", + "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.41.tgz", + "integrity": "sha512-TesUflQ0WKZqAvg52PWL6kHgLKP6xB6heTOdoYM0Wt2UHyxNa4K25EZZMgKns3BH1RLVbZCREPpLY0rhnNoHVQ==", "dev": true, "funding": [ { @@ -17499,7 +17511,9 @@ } }, "node_modules/update-browserslist-db": { - "version": "1.0.16", + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.1.0.tgz", + "integrity": "sha512-EdRAaAyk2cUE1wOf2DkEhzxqOQvFOoRJFNS6NeyJ01Gp2beMRpBAINjM2iDXE3KCuKhwnvHIQCJm6ThL2Z+HzQ==", "funding": [ { "type": "opencollective", diff --git a/package.json b/package.json index 0a89f62474..be96e39ac7 100644 --- a/package.json +++ b/package.json @@ -83,11 +83,11 @@ "@babel/plugin-transform-private-methods": "^7.24.7", "@babel/preset-env": "^7.25.3", "@babel/preset-react": "^7.24.7", - "@playwright/test": "^1.45.2", + "@playwright/test": "^1.46.0", "@pmmmwh/react-refresh-webpack-plugin": "^0.5.15", "@webpack-cli/serve": "^2.0.5", "ajv": "^8.17.1", - "autoprefixer": "^10.4.19", + "autoprefixer": "^10.4.20", "babel-loader": "^9.1.3", "cheerio": "^1.0.0-rc.12", "clean-webpack-plugin": "^4.0.0", @@ -101,9 +101,9 @@ "eslint-config-standard": "^17.1.0", "eslint-import-resolver-webpack": "^0.13.8", "eslint-plugin-import": "^2.29.1", - "eslint-plugin-jest": "^28.6.0", + "eslint-plugin-jest": "^28.8.0", "eslint-plugin-jsx-a11y": "^6.9.0", - "eslint-plugin-n": "^17.10.1", + "eslint-plugin-n": "^17.10.2", "eslint-plugin-no-storage": "^1.0.2", "eslint-plugin-node": "^11.1.0", "eslint-plugin-promise": "^6.6.0", @@ -120,7 +120,7 @@ "node-ssh": "^13.2.0", "npm-run-all": "^4.1.5", "patch-package": "^8.0.0", - "postcss": "^8.4.40", + "postcss": "^8.4.41", "postcss-loader": "^8.1.1", "react-refresh": "^0.14.1", "react-test-renderer": "^18.3.0", From 4232035744a7af53dc0a079a60f453bbec4bf5cf Mon Sep 17 00:00:00 2001 From: Patrick Moulden <4834892+PatchesMaps@users.noreply.github.com> Date: Tue, 13 Aug 2024 09:59:22 -0400 Subject: [PATCH 02/14] WV-3246 Describe Domains (#5392) * initial work * fix: await processLayer in extractConfigFromWMTS.js * feat: only show "View Dates" in the layer info if the layer is not ongoing --- tasks/build-options/extractConfigFromWMTS.js | 4 +- tasks/build-options/processTemporalLayer.js | 161 +++++++++++-------- web/js/components/layer/info/info.js | 3 +- 3 files changed, 99 insertions(+), 69 deletions(-) diff --git a/tasks/build-options/extractConfigFromWMTS.js b/tasks/build-options/extractConfigFromWMTS.js index 2d7bdcf99c..d4525a77fd 100644 --- a/tasks/build-options/extractConfigFromWMTS.js +++ b/tasks/build-options/extractConfigFromWMTS.js @@ -139,7 +139,7 @@ async function processEntry (entry) { for (const gcLayer of gcContents.Layer) { try { layerCount += 1 - processLayer(gcLayer, wvLayers, entry) + await processLayer(gcLayer, wvLayers, entry) } catch (error) { if (error instanceof SkipException) { warningCount += 1 @@ -184,7 +184,7 @@ async function processLayer (gcLayer, wvLayers, entry) { const dimension = gcLayer.Dimension if (dimension['ows:Identifier']._text === 'Time') { try { - wvLayer = await processTemporalLayer(wvLayer, dimension.Value) + wvLayer = await processTemporalLayer(wvLayer, dimension.Value, entry.source) } catch (e) { console.error(e) console.error(`${prog}: ERROR: [${ident}] Error processing time values.`) diff --git a/tasks/build-options/processTemporalLayer.js b/tasks/build-options/processTemporalLayer.js index c7a836c225..de8860a9f4 100644 --- a/tasks/build-options/processTemporalLayer.js +++ b/tasks/build-options/processTemporalLayer.js @@ -1,88 +1,117 @@ const moment = require('moment') +const xml2js = require('xml2js') + +const projDict = { + 'GIBS:geographic': 'epsg4326', + 'GIBS:arctic': 'epsg3413', + 'GIBS:antarctic': 'epsg3031' +} function toList (val) { return val instanceof Array ? val : [val] } -async function processTemporalLayer (wvLayer, value) { +async function processTemporalLayer (wvLayer, value, source = 'GIBS:geographic') { const dateFormat = 'YYYY-MM-DD' const dateTimeFormat = 'YYYY-MM-DD HH:mm:ss' try { - const ranges = toList(value) - if (ranges && ranges[0] && ranges[0]._text && ranges[0]._text.includes('T')) { - wvLayer.period = 'subdaily' - } else { - if (ranges && ranges[0] && ranges[0]._text && ranges[0]._text.endsWith('Y')) { - wvLayer.period = 'yearly' - } else if (ranges && ranges[0] && ranges[0]._text && ranges[0]._text.endsWith('M')) { - wvLayer.period = 'monthly' - } else { - wvLayer.period = 'daily' - } - } - let startDate = moment.min() - let endDate = moment.max() - const dateRangeStart = [] - const dateRangeEnd = [] - const rangeInterval = [] - for (const range of ranges) { - const [start, end, interval] = range._text.split('/') - if ( - wvLayer.period === 'daily' || - wvLayer.period === 'monthly' || - wvLayer.period === 'yearly' - ) { - startDate = moment.min(startDate, moment(start, dateFormat)) - endDate = moment.max(endDate, moment(end, dateFormat)) - if (start) { - startDate = moment(start, dateFormat).format('YYYY-MM-DDTHH:mm:ss[Z]') - dateRangeStart.push(startDate) - } - if (end) { - endDate = moment(end, dateFormat).format('YYYY-MM-DDTHH:mm:ss[Z]') + let ranges = toList(value) + const describeDomainsUrl = `https://gibs.earthdata.nasa.gov/wmts/${projDict[source]}/best/1.0.0/${wvLayer.id}/default/250m/all/all.xml` + try { + const describeDomainsResponse = await fetch(describeDomainsUrl) + if (describeDomainsResponse?.ok) { + const describeDomainsText = await describeDomainsResponse?.text?.() || '' + const parser = new xml2js.Parser() + const describeDomainsJson = await parser.parseStringPromise(describeDomainsText) + const domain = describeDomainsJson?.Domains?.DimensionDomain?.[0]?.Domain?.[0] || '' + const domains = domain.split(',') + if (domains?.length) { + const formattedDomains = domains.map((d) => { + return { + _text: d + } + }) + ranges = toList(formattedDomains) } - if (interval !== 'P1D') { - endDate = moment.utc(endDate).add(moment.duration(interval)).format('YYYY-MM-DDTHH:mm:ss[Z]') - // For monthly products subtract 1 day - if (wvLayer.period === 'monthly') { - endDate = moment.utc(endDate).subtract(1, 'day').format('YYYY-MM-DDTHH:mm:ss[Z]') - } - } - const regex = /\d+/g - const match = regex.exec(interval) - rangeInterval.push(match) - if (endDate.endsWith('T00:00:00Z')) { - endDate = endDate.replace('T00:00:00Z', 'T23:59:59Z') - } - dateRangeEnd.push(endDate) + } + } catch (error) { + console.error(`Error fetching ${describeDomainsUrl}: ${error}`) + } finally { + if (ranges && ranges[0] && ranges[0]._text && ranges[0]._text.includes('T')) { + wvLayer.period = 'subdaily' } else { - // Subdaily Layers - startDate = moment(start, dateTimeFormat).format('YYYY-MM-DDTHH:mm:ss[Z]') - endDate = moment(end, dateTimeFormat).format('YYYY-MM-DDTHH:mm:ss[Z]') - - if (start) { - dateRangeStart.push(startDate) + if (ranges && ranges[0] && ranges[0]._text && ranges[0]._text.endsWith('Y')) { + wvLayer.period = 'yearly' + } else if (ranges && ranges[0] && ranges[0]._text && ranges[0]._text.endsWith('M')) { + wvLayer.period = 'monthly' + } else { + wvLayer.period = 'daily' } - if (end) { + } + let startDate = moment.min() + let endDate = moment.max() + const dateRangeStart = [] + const dateRangeEnd = [] + const rangeInterval = [] + for (const range of ranges) { + const [start, end, interval] = range._text.split('/') + if ( + wvLayer.period === 'daily' || + wvLayer.period === 'monthly' || + wvLayer.period === 'yearly' + ) { + startDate = moment.min(startDate, moment(start, dateFormat)) + endDate = moment.max(endDate, moment(end, dateFormat)) + if (start) { + startDate = moment(start, dateFormat).format('YYYY-MM-DDTHH:mm:ss[Z]') + dateRangeStart.push(startDate) + } + if (end) { + endDate = moment(end, dateFormat).format('YYYY-MM-DDTHH:mm:ss[Z]') + } + if (interval !== 'P1D') { + endDate = moment.utc(endDate).add(moment.duration(interval)).format('YYYY-MM-DDTHH:mm:ss[Z]') + // For monthly products subtract 1 day + if (wvLayer.period === 'monthly') { + endDate = moment.utc(endDate).subtract(1, 'day').format('YYYY-MM-DDTHH:mm:ss[Z]') + } + } + const regex = /\d+/g + const match = regex.exec(interval) + rangeInterval.push(match) + if (endDate.endsWith('T00:00:00Z')) { + endDate = endDate.replace('T00:00:00Z', 'T23:59:59Z') + } dateRangeEnd.push(endDate) - } + } else { + // Subdaily Layers + startDate = moment(start, dateTimeFormat).format('YYYY-MM-DDTHH:mm:ss[Z]') + endDate = moment(end, dateTimeFormat).format('YYYY-MM-DDTHH:mm:ss[Z]') - rangeInterval.push(interval.match(/\d+/)[0]) - } + if (start) { + dateRangeStart.push(startDate) + } + if (end) { + dateRangeEnd.push(endDate) + } - wvLayer.startDate = dateRangeStart[0] - wvLayer.endDate = dateRangeEnd[dateRangeEnd.length - 1] + rangeInterval.push(interval.match(/\d+/)[0]) + } - if (dateRangeStart.length && dateRangeEnd.length) { - wvLayer.dateRanges = dateRangeStart.map((s, i) => ({ - startDate: s, - endDate: dateRangeEnd[i], - dateInterval: rangeInterval[i] - })) + wvLayer.startDate = dateRangeStart[0] + wvLayer.endDate = dateRangeEnd[dateRangeEnd.length - 1] + + if (dateRangeStart.length && dateRangeEnd.length) { + wvLayer.dateRanges = dateRangeStart.map((s, i) => ({ + startDate: s, + endDate: dateRangeEnd[i], + dateInterval: rangeInterval[i] + })) + } } } } catch (e) { - throw new Error(`Error processing temporal layer: ${e}`) + throw new Error(`Error processing temporal layer ${wvLayer.id}: ${e}`) } return wvLayer } diff --git a/web/js/components/layer/info/info.js b/web/js/components/layer/info/info.js index 37d813d7da..044854a8a6 100644 --- a/web/js/components/layer/info/info.js +++ b/web/js/components/layer/info/info.js @@ -11,6 +11,7 @@ export default function LayerInfo ({ layer, measurementDescriptionPath }) { id, period, startDate, + ongoing, } = layer; const [layerMetadata, setLayerMetadata] = useState(); @@ -47,7 +48,7 @@ export default function LayerInfo ({ layer, measurementDescriptionPath }) { const overlapDateRanges = hasLayerDateRange ? dateOverlap(period, dateRanges) : []; - return hasLayerDateRange && overlapDateRanges.overlap === false; + return hasLayerDateRange && overlapDateRanges.overlap === false && !ongoing; }; const needDateRanges = getDateOverlapDateRanges(); From 7bc07900e88781bd149931b28e02ae2b67fa89e7 Mon Sep 17 00:00:00 2001 From: Patrick Moulden <4834892+PatchesMaps@users.noreply.github.com> Date: Tue, 13 Aug 2024 11:15:49 -0400 Subject: [PATCH 03/14] WV-3035 Global Granule Footprints (#5406) * feat: Add CMR source and WebGL layer for displaying granules The code changes add a new CMR source and a WebGL layer to display granules on the map. This allows for fetching and rendering granule data from the CMR API. * refactor: Remove unnecessary condition in LayerRow component The code changes remove an unnecessary condition in the LayerRow component that checked for the 'underZoomValue' property of the 'zot' object. This condition was causing the component to be disabled even when there were granules present. Removing this condition ensures that the component is only disabled when there are no granules. * refactor: Use OL Vector Layer instead of WebGL Layer --- web/js/containers/sidebar/layer-row.js | 2 +- web/js/map/layerbuilder.js | 86 +++++++++++++++++++++++++- 2 files changed, 86 insertions(+), 2 deletions(-) diff --git a/web/js/containers/sidebar/layer-row.js b/web/js/containers/sidebar/layer-row.js index 7e9f999422..c3793e1ba7 100644 --- a/web/js/containers/sidebar/layer-row.js +++ b/web/js/containers/sidebar/layer-row.js @@ -173,7 +173,7 @@ function LayerRow (props) { setActiveZot(zot); setShowGranuleAlert(false); } - if (!granules.length || zot?.underZoomValue > 0) { + if (!granules.length) { setDisabled(true); } else { setDisabled(isDisabled); diff --git a/web/js/map/layerbuilder.js b/web/js/map/layerbuilder.js index 17921c6c4f..756ec607ef 100644 --- a/web/js/map/layerbuilder.js +++ b/web/js/map/layerbuilder.js @@ -940,6 +940,82 @@ export default function mapLayerBuilder(config, cache, store) { const { proj: { selected }, date } = state; const { maxExtent, crs } = selected; const { r, g, b } = def.bandCombo; + const conceptID = def?.conceptIds?.[0]?.value || def?.collectionConceptID; + const dateTime = state.date.selected?.toISOString().split('T'); + dateTime.pop(); + dateTime.push('00:00:00.000Z'); + const zeroedDate = dateTime.join('T'); + const cmrMaxExtent = [-180, -90, 180, 90]; + + const cmrSource = new OlSourceVector({ + format: new GeoJSON(), + projection: get(crs), + loader: async (extent, resolution, projection, success, failure) => { + // clamp extent to maximum extent allowed by the CMR api + const clampedExtent = extent.map((coord, i) => { + const condition = i <= 1 ? coord > cmrMaxExtent[i] : coord < cmrMaxExtent[i]; + if (condition) { + return coord; + } + return cmrMaxExtent[i]; + }); + const getGranules = () => { + const entries = []; + return async function requestGranules(searchAfter) { + const headers = { + 'Client-Id': 'Worldview', + }; + headers['cmr-search-after'] = searchAfter ?? ''; + const url = `https://cmr.earthdata.nasa.gov/search/granules.json?collection_concept_id=${conceptID}&bounding_box=${clampedExtent.join(',')}&temporal=${zeroedDate}/P0Y0M1DT0H0M&pageSize=2000`; + const cmrRes = await fetch(url, { headers }); + const resHeaders = cmrRes.headers; + const granules = await cmrRes.json(); + const resEntries = granules?.feed?.entry || []; + + entries.push(...resEntries); + + if (resHeaders.has('cmr-search-after')) { + await requestGranules(resHeaders.get('cmr-search-after')); + } + return entries; + }; + }; + + const granuleGetter = getGranules(); + const granules = await granuleGetter(); + + const features = granules.map((granule) => { + const coords = granule.polygons[0][0].split(' ').reduce((acc, coord, i, arr) => { + if (i % 2 !== 0) return acc; + + acc.push([arr[i + 1], coord]); + + return acc; + }, []); + + return { + type: 'Feature', + geometry: { + type: 'Polygon', + coordinates: [coords], + }, + properties: { + granuleId: granule.id, + }, + }; + }); + + const geojson = { + type: 'FeatureCollection', + features, + }; + + const formatedFeatures = cmrSource.getFormat().readFeatures(geojson); + + cmrSource.addFeatures(formatedFeatures); + success(formatedFeatures); + }, + }); const source = config.sources[def.source]; @@ -980,8 +1056,16 @@ export default function mapLayerBuilder(config, cache, store) { minZoom: def.minZoom, extent: maxExtent, }); + const footprintLayer = new OlLayerVector({ + source: cmrSource, + className, + maxZoom: def.minZoom, + }); + const layerGroup = new OlLayerGroup({ + layers: [footprintLayer, layer], + }); - return layer; + return layerGroup; }; const createXYZLayer = (def, options, day, state) => { From 88f19d8760d0322baaf9dd970411188bb78c4805 Mon Sep 17 00:00:00 2001 From: Patrick Moulden <4834892+PatchesMaps@users.noreply.github.com> Date: Tue, 13 Aug 2024 11:18:12 -0400 Subject: [PATCH 04/14] WV-3237 Alert users if snapshot exceeds GRANULE_LIMIT (#5394) * feat: Add warning for truncated granule dates in ImageDownloadPanel * fix: Fix missing semicolon in ImageDownloadPanel --- .../image-download/image-download-panel.js | 17 +++++- web/js/modules/image-download/util.js | 55 ++++++++++++++----- 2 files changed, 58 insertions(+), 14 deletions(-) diff --git a/web/js/components/image-download/image-download-panel.js b/web/js/components/image-download/image-download-panel.js index a96d63307c..8dc415a734 100644 --- a/web/js/components/image-download/image-download-panel.js +++ b/web/js/components/image-download/image-download-panel.js @@ -1,10 +1,12 @@ -import React, { useState } from 'react'; +import React, { useState, useEffect } from 'react'; import PropTypes from 'prop-types'; import googleTagManager from 'googleTagManager'; import { imageSizeValid, getDimensions, getDownloadUrl, + getTruncatedGranuleDates, + GRANULE_LIMIT, } from '../../modules/image-download/util'; import SelectionList from '../util/selector'; import ResTable from './grid'; @@ -54,6 +56,16 @@ function ImageDownloadPanel(props) { const [currIsWorldfile, setIsWorldfile] = useState(isWorldfile); const [currResolution, setResolution] = useState(resolution); const [debugUrl, setDebugUrl] = useState(''); + const [showGranuleWarning, setShowGranuleWarning] = useState(false); + + useEffect(() => { + const layerList = getLayers(); + const granuleDatesMap = new Map(map.getLayers().getArray().map((layer) => [layer.wv.id, layer.wv.granuleDates])); + const layerDefs = layerList.map((def) => ({ ...def, granuleDates: granuleDatesMap.get(def.id) })); + const isTruncated = getTruncatedGranuleDates(layerDefs, date).truncated; + + setShowGranuleWarning(isTruncated); + }, []); const onDownload = (width, height) => { const time = new Date(date.getTime()); @@ -195,6 +207,9 @@ function ImageDownloadPanel(props) { proj={projection.id} map={map} /> + {showGranuleWarning && ( +

Warning: A snapshot will capture a max. of {GRANULE_LIMIT} granules, additional granules are omitted.

// eslint-disable-line react/jsx-one-expression-per-line + )} { + let granuleDatesString = acc.value; + if (!def.granuleDates) { + return { + truncated, + value: granuleDatesString, + }; + } + granuleDatesString = `${acc.value}${i};`; // ensure that each granule layer gets an index + if (numGranules >= GRANULE_LIMIT) { // limit number of granules to GRANULE_LIMIT + truncated = true; + + return { + truncated, + value: granuleDatesString, + }; + } + const numToAdd = GRANULE_LIMIT - numGranules; + const truncatedDates = def.granuleDates.slice(0, numToAdd); + numGranules += truncatedDates.length; + const processedDates = truncatedDates.map((date) => date.split(':').filter((d) => d !== '00Z').join(':')); + return { + truncated, + value: `${granuleDatesString}${processedDates.join(',')},`, + }; + }, { + truncated: false, + value: '', + }); +} + /** * Get the snapshots URL to download an image * @param {String} url @@ -282,18 +322,7 @@ export function getDownloadUrl(url, proj, layerDefs, bbox, dimensions, dateTime, const imgFormat = fileType || 'image/jpeg'; const { height, width } = dimensions; const snappedDateTime = getLatestIntervalTime(layerDefs, dateTime); - let numGranules = 0; - const granuleDates = layerDefs.reduce((acc, def, i) => { - let granuleDatesString = acc; - if (!def.granuleDates) return granuleDatesString; - granuleDatesString = `${acc}${i};`; // ensure that each granule layer gets an index - if (numGranules >= GRANULE_LIMIT) return granuleDatesString; // limit number of granules - const numToAdd = GRANULE_LIMIT - numGranules; - const truncatedDates = def.granuleDates.slice(0, numToAdd); - numGranules += truncatedDates.length; - const processedDates = truncatedDates.map((date) => date.split(':').filter((d) => d !== '00Z').join(':')); - return `${granuleDatesString}${processedDates.join(',')},`; - }, ''); + const granuleDates = getTruncatedGranuleDates(layerDefs).value; const params = [ 'REQUEST=GetSnapshot', `TIME=${util.toISOStringSeconds(snappedDateTime)}`, From 2be66fa578b1a58877ab3278ae28a86793d64596 Mon Sep 17 00:00:00 2001 From: minniewong Date: Tue, 13 Aug 2024 14:33:35 -0400 Subject: [PATCH 05/14] WV-3287: Remove 20 day rolling window for EVI and NDVI rolling 8-day (#5401) * remove 20 day rolling window for EVI and NDVI rolling 8-day * fix repeated word typos --- .../metadata/layers/aeronet/AERONET_ANGSTROM_440-870NM.md | 2 +- .../config/metadata/layers/aeronet/AERONET_AOD_500NM.md | 2 +- .../layers/aeronet/DAILY_AERONET_ANGSTROM_440-870NM.md | 2 +- .../metadata/layers/aeronet/DAILY_AERONET_AOD_500NM.md | 2 +- .../modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_16_PCL.md | 2 +- .../modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_PCL.md | 2 +- .../aqua/MODIS_Aqua_Cloud_Optical_Thickness_PCL_1621.md | 2 +- .../terra/MODIS_Terra_Cloud_Optical_Thickness_16_PCL.md | 2 +- .../modis/terra/MODIS_Terra_Cloud_Optical_Thickness_PCL.md | 2 +- .../terra/MODIS_Terra_Cloud_Optical_Thickness_PCL_1621.md | 2 +- .../metadata/layers/modis/terra/MODIS_Terra_EVI_8Day.md | 2 +- .../layers/modis/terra/MODIS_Terra_L3_EVI_Monthly.md | 2 +- .../metadata/layers/modis/terra/MODIS_Terra_NDVI_8Day.md | 2 +- ...H_Cyclone_Proportional_Economic_Loss_Risk_Deciles_2000.md | 2 +- ...NDH_Flood_Proportional_Economic_Loss_Risk_Deciles_2000.md | 2 +- ...H_Volcano_Proportional_Economic_Loss_Risk_Deciles_2000.md | 2 +- .../layers/sedac/Summer_Day_Max_Land_Surface_Temp_2013.md | 2 +- .../layers/sedac/Summer_Night_Min_Land_Surface_Temp_2013.md | 2 +- .../common/config/metadata/layers/srtm/SRTM_Color_Index.md | 2 +- .../wv.json/layers/modis/terra/MODIS_Terra_EVI_8Day.json | 5 +---- .../wv.json/layers/modis/terra/MODIS_Terra_NDVI_8Day.json | 5 +---- 21 files changed, 21 insertions(+), 27 deletions(-) diff --git a/config/default/common/config/metadata/layers/aeronet/AERONET_ANGSTROM_440-870NM.md b/config/default/common/config/metadata/layers/aeronet/AERONET_ANGSTROM_440-870NM.md index 34067dc9e6..1f5a148b17 100644 --- a/config/default/common/config/metadata/layers/aeronet/AERONET_ANGSTROM_440-870NM.md +++ b/config/default/common/config/metadata/layers/aeronet/AERONET_ANGSTROM_440-870NM.md @@ -4,6 +4,6 @@ The angstrom parameter is calculated for all available wavelengths within the An Each AERONET ground-based remote sensing aerosol network site consist of a sun photometer and satellite transmission system. Sun photometer measurements of the direct (collimated) solar radiation provide information to calculate the columnar aerosol optical depth (AOD). AOD can be used to compute columnar water vapor (Precipitable Water) and estimate the aerosol size using the Angstrom parameter relationship. -The Near Real-Time layer displays the reading from the last one hour, ranging from < 0.0 to >= 2.5. Inactive sites are denoted in grey. Data for this layer is provided by the The AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program. +The Near Real-Time layer displays the reading from the last one hour, ranging from < 0.0 to >= 2.5. Inactive sites are denoted in grey. Data for this layer is provided by the AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program. References: [AERONET Aerosol Optical Depth](https://aeronet.gsfc.nasa.gov/new_web/aerosols.html) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/aeronet/AERONET_AOD_500NM.md b/config/default/common/config/metadata/layers/aeronet/AERONET_AOD_500NM.md index 242aacca6e..d49573b5e3 100644 --- a/config/default/common/config/metadata/layers/aeronet/AERONET_AOD_500NM.md +++ b/config/default/common/config/metadata/layers/aeronet/AERONET_AOD_500NM.md @@ -4,6 +4,6 @@ Aerosol Optical Depth (AOD) (or Aerosol Optical Thickness) indicates the level a Each AERONET ground-based remote sensing aerosol network site consist of a sun photometer and satellite transmission system. Sun photometer measurements of the direct (collimated) solar radiation provide information to calculate the columnar aerosol optical depth (AOD). AOD can be used to compute columnar water vapor (Precipitable Water) and estimate the aerosol size using the Angstrom parameter relationship. -The Near Real-Time layer displays the reading from the last one hour, ranging from < 0.0 to 5.0. Inactive sites are denoted in grey. Data for this layer is provided by the The AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program. +The Near Real-Time layer displays the reading from the last one hour, ranging from < 0.0 to 5.0. Inactive sites are denoted in grey. Data for this layer is provided by the AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program. References: [AERONET Aerosol Optical Depth](https://aeronet.gsfc.nasa.gov/new_web/aerosols.html) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/aeronet/DAILY_AERONET_ANGSTROM_440-870NM.md b/config/default/common/config/metadata/layers/aeronet/DAILY_AERONET_ANGSTROM_440-870NM.md index 6dd8462889..cac96d04df 100644 --- a/config/default/common/config/metadata/layers/aeronet/DAILY_AERONET_ANGSTROM_440-870NM.md +++ b/config/default/common/config/metadata/layers/aeronet/DAILY_AERONET_ANGSTROM_440-870NM.md @@ -4,7 +4,7 @@ The angstrom parameter is calculated for all available wavelengths within the An Each AERONET ground-based remote sensing aerosol network site consist of a sun photometer and satellite transmission system. Sun photometer measurements of the direct (collimated) solar radiation provide information to calculate the columnar aerosol optical depth (AOD). AOD can be used to compute columnar water vapor (Precipitable Water) and estimate the aerosol size using the Angstrom parameter relationship. -The Daily layer displays the daily average based on the UTC solar day, ranging from < 0.0 to >= 2.5. Inactive sites are denoted in grey. Data for this layer is provided by the The AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program. +The Daily layer displays the daily average based on the UTC solar day, ranging from < 0.0 to >= 2.5. Inactive sites are denoted in grey. Data for this layer is provided by the AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program. References: [AERONET Aerosol Optical Depth](https://aeronet.gsfc.nasa.gov/new_web/aerosols.html) diff --git a/config/default/common/config/metadata/layers/aeronet/DAILY_AERONET_AOD_500NM.md b/config/default/common/config/metadata/layers/aeronet/DAILY_AERONET_AOD_500NM.md index c5046bcd11..ca3f91f710 100644 --- a/config/default/common/config/metadata/layers/aeronet/DAILY_AERONET_AOD_500NM.md +++ b/config/default/common/config/metadata/layers/aeronet/DAILY_AERONET_AOD_500NM.md @@ -4,6 +4,6 @@ Aerosol Optical Depth (AOD) (or Aerosol Optical Thickness) indicates the level a Each AERONET ground-based remote sensing aerosol network site consist of a sun photometer and satellite transmission system. Sun photometer measurements of the direct (collimated) solar radiation provide information to calculate the columnar aerosol optical depth (AOD). AOD can be used to compute columnar water vapor (Precipitable Water) and estimate the aerosol size using the Angstrom parameter relationship. -The Daily layer displays the daily average based on the UTC solar day, ranging from < 0.0 to 5.0. Inactive sites are denoted in grey. Data for this layer is provided by the The AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program. +The Daily layer displays the daily average based on the UTC solar day, ranging from < 0.0 to 5.0. Inactive sites are denoted in grey. Data for this layer is provided by the AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program. References: [AERONET Aerosol Optical Depth](https://aeronet.gsfc.nasa.gov/new_web/aerosols.html) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_16_PCL.md b/config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_16_PCL.md index a190207d11..f8ec32ae0c 100644 --- a/config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_16_PCL.md +++ b/config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_16_PCL.md @@ -1,4 +1,4 @@ -The MODIS Cloud Optical Thickness (1.6 microns, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm). Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 6 (1.6 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. +The MODIS Cloud Optical Thickness (1.6 microns, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm). Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 6 (1.6 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. The MODIS Cloud Optical Thickness layers are available from both the Terra (MOD06) and Aqua (MYD06) satellites for daytime overpasses. The sensor/algorithm resolution is 1 km, imagery resolution is 1 km, and the temporal resolution is daily. diff --git a/config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_PCL.md b/config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_PCL.md index 19a2d62f17..ba2e082f7f 100644 --- a/config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_PCL.md +++ b/config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_PCL.md @@ -1,4 +1,4 @@ -The MODIS Cloud Optical Thickness layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds. Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. +The MODIS Cloud Optical Thickness layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds. Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. The MODIS Cloud Optical Thickness layers are available from both the Terra (MOD06) and Aqua (MYD06) satellites for daytime overpasses. The sensor/algorithm resolution is 1 km, imagery resolution is 1 km, and the temporal resolution is daily. diff --git a/config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_PCL_1621.md b/config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_PCL_1621.md index c3ed9d2f72..afd2fa77c0 100644 --- a/config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_PCL_1621.md +++ b/config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_PCL_1621.md @@ -1,4 +1,4 @@ -The MODIS Cloud Optical Thickness (1.6 microns, 1621 Algorithm, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm) and Band 7 (2.1 μm). Clouds scatter and reflect most visible light. This layer is the the Cloud Optical Thickness (1.6 microns, 1621 Algorithm, PCL) (partly cloudy) retrieval using Band 6 (1.6 μm) and Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. +The MODIS Cloud Optical Thickness (1.6 microns, 1621 Algorithm, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm) and Band 7 (2.1 μm). Clouds scatter and reflect most visible light. This layer is the Cloud Optical Thickness (1.6 microns, 1621 Algorithm, PCL) (partly cloudy) retrieval using Band 6 (1.6 μm) and Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. The MODIS Cloud Optical Thickness layers are available from both the Terra (MOD06) and Aqua (MYD06) satellites for daytime overpasses. The sensor/algorithm resolution is 1 km, imagery resolution is 1 km, and the temporal resolution is daily. diff --git a/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_16_PCL.md b/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_16_PCL.md index b3f292c855..3594afe608 100644 --- a/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_16_PCL.md +++ b/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_16_PCL.md @@ -1,4 +1,4 @@ -The MODIS Cloud Optical Thickness (1.6 microns, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm). Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 6 (1.6 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. +The MODIS Cloud Optical Thickness (1.6 microns, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm). Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 6 (1.6 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. The MODIS Cloud Optical Thickness layers are available from both the Terra (MOD06) and Aqua (MYD06) satellites for daytime overpasses. The sensor/algorithm resolution is 1 km, imagery resolution is 1 km, and the temporal resolution is daily. diff --git a/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_PCL.md b/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_PCL.md index 5b6386bb5d..c47ae72b79 100644 --- a/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_PCL.md +++ b/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_PCL.md @@ -1,4 +1,4 @@ -The MODIS Cloud Optical Thickness layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds. Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. +The MODIS Cloud Optical Thickness layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds. Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. The MODIS Cloud Optical Thickness layers available are: the Cloud Optical Thickness retrieval using Band 7 (2.1 μm); (2) the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. diff --git a/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_PCL_1621.md b/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_PCL_1621.md index ee2f8f4599..d7e7054e9e 100644 --- a/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_PCL_1621.md +++ b/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_PCL_1621.md @@ -1,4 +1,4 @@ -The MODIS Cloud Optical Thickness (1.6 microns, 1621 Algorithm, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm) and Band 7 (2.1 μm). Clouds scatter and reflect most visible light. This layer is the the Cloud Optical Thickness (1.6 microns, 1621 Algorithm, PCL) (partly cloudy) retrieval using Band 6 (1.6 μm) and Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. +The MODIS Cloud Optical Thickness (1.6 microns, 1621 Algorithm, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm) and Band 7 (2.1 μm). Clouds scatter and reflect most visible light. This layer is the Cloud Optical Thickness (1.6 microns, 1621 Algorithm, PCL) (partly cloudy) retrieval using Band 6 (1.6 μm) and Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges. The MODIS Cloud Optical Thickness layers are available from both the Terra (MOD06) and Aqua (MYD06) satellites for daytime overpasses. The sensor/algorithm resolution is 1 km, imagery resolution is 1 km, and the temporal resolution is daily. diff --git a/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_EVI_8Day.md b/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_EVI_8Day.md index 10d45d84e3..d09b431c46 100644 --- a/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_EVI_8Day.md +++ b/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_EVI_8Day.md @@ -1,5 +1,5 @@ The MODIS Enhanced Vegetation Index (EVI) is also used as a measure of the greenness and health of vegetation. It is calculated in a similar fashion as NDVI but it corrects for distortions caused by ground cover beneath the canopy vegetation and distortions in reflected light caused by particles in the air by using the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cirrus clouds. The EVI is more effective in areas with large amounts of chlorophyll such as rainforests. The index values range from -0.2 to 1 where higher values (0.3 to 1) indicate areas covered by green, leafy vegetation and lower values (0 to 0.3) indicate areas where there is little or no vegetation. -The MODIS rolling 8-day EVI layer is available as a near real-time, rolling 8-day product (MOD13Q4N) from from the Terra satellite. It is created from a rolling 8-day land surface reflectance product, MOD09Q1N. The sensor resolution is 250 m, imagery resolution is 250 m, and the temporal resolution is an 8-day product which is updated daily, and available for the last 20 days. +The MODIS rolling 8-day EVI layer is available as a near real-time, rolling 8-day product (MOD13Q4N) from the Terra satellite. It is created from a rolling 8-day land surface reflectance product, MOD09Q1N. The sensor resolution is 250 m, imagery resolution is 250 m, and the temporal resolution is an 8-day product which is updated daily. References: MOD13Q4N [doi:10.5067/MODIS/MOD13Q4N.NRT.061](https://doi.org/10.5067/MODIS/MOD13Q4N.NRT.061) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_L3_EVI_Monthly.md b/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_L3_EVI_Monthly.md index 48155c0a3f..c7ce657788 100644 --- a/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_L3_EVI_Monthly.md +++ b/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_L3_EVI_Monthly.md @@ -1,4 +1,4 @@ -The Enhanced Vegetation Index (L3, Monthly) layer is created from from the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MOD13A3) data which are provided monthly at 1 kilometer (km) spatial resolution as a gridded Level 3 product. In generating this monthly product, the algorithm ingests all the Terra MODIS Vegetation Indices 16-day products that overlap the month and employs a weighted temporal average. +The Enhanced Vegetation Index (L3, Monthly) layer is created from the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MOD13A3) data which are provided monthly at 1 kilometer (km) spatial resolution as a gridded Level 3 product. In generating this monthly product, the algorithm ingests all the Terra MODIS Vegetation Indices 16-day products that overlap the month and employs a weighted temporal average. The Enhanced Vegetation Index (EVI) minimizes canopy background variations and maintains sensitivity over dense vegetation conditions. The EVI uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin clouds. The MODIS EVI product is computed from surface reflectances corrected for molecular scattering, ozone absorption, and aerosols. diff --git a/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_NDVI_8Day.md b/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_NDVI_8Day.md index a9b1040f3e..8493fe8c60 100644 --- a/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_NDVI_8Day.md +++ b/config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_NDVI_8Day.md @@ -1,5 +1,5 @@ The MODIS Normalized Difference Vegetation Index (NDVI) layer is a measure of the greenness and health of vegetation. The index is calculated based on how much red and near-infrared light is reflected by plant leaves. The index values range from -0.2 to 1 where higher values (0.3 to 1) indicate areas covered by green, leafy vegetation and lower values (0 to 0.3) indicate areas where there is little or no vegetation. Areas with a lot of green leaf growth, indicates the presence of chlorophyll which reflects more infrared light and less visible light, are depicted in dark green colors, areas with some green leaf growth are in light greens, and areas with little to no vegetation growth are depicted in tan colors. -The MODIS rolling 8-day NDVI layer is available as a near real-time, rolling 8-day product (MOD13Q4N) from from the Terra satellite. It is created from a rolling 8-day land surface reflectance product, MOD09Q1N. The sensor resolution is 250 m, imagery resolution is 250 m, and the temporal resolution is an 8-day product which is updated daily, and available for the last 20 days. +The MODIS rolling 8-day NDVI layer is available as a near real-time, rolling 8-day product (MOD13Q4N) from the Terra satellite. It is created from a rolling 8-day land surface reflectance product, MOD09Q1N. The sensor resolution is 250 m, imagery resolution is 250 m, and the temporal resolution is an 8-day product which is updated daily. References: MOD13Q4N [doi:10.5067/MODIS/MOD13Q4N.NRT.061](https://doi.org/10.5067/MODIS/MOD13Q4N.NRT.061) diff --git a/config/default/common/config/metadata/layers/sedac/NDH_Cyclone_Proportional_Economic_Loss_Risk_Deciles_2000.md b/config/default/common/config/metadata/layers/sedac/NDH_Cyclone_Proportional_Economic_Loss_Risk_Deciles_2000.md index b300e0a66d..ff8e34b3f2 100644 --- a/config/default/common/config/metadata/layers/sedac/NDH_Cyclone_Proportional_Economic_Loss_Risk_Deciles_2000.md +++ b/config/default/common/config/metadata/layers/sedac/NDH_Cyclone_Proportional_Economic_Loss_Risk_Deciles_2000.md @@ -1,4 +1,4 @@ -The Cyclone Hazard: Economic Risk layer indicates the the proportional economic impacts of global cyclone hazard for the period 1981-2000. The information displayed in Worldview/Global Imagery Browse Services (GIBS) reflects the decile within which the risk lies, ranging from low to high economic risk: 1st to 10th decile. +The Cyclone Hazard: Economic Risk layer indicates the proportional economic impacts of global cyclone hazard for the period 1981-2000. The information displayed in Worldview/Global Imagery Browse Services (GIBS) reflects the decile within which the risk lies, ranging from low to high economic risk: 1st to 10th decile. Global Cyclone Proportional Economic Loss Risk Deciles is a 2.5 minute grid of cyclone hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The vulnerability weights are based on historical economic losses in previous disasters. The economic loss risks are applied to GDP per unit area exposure to obtain economic loss risks. The weights are an aggregate index relative to losses within each region and country wealth class (classifications based on 2000 GDP) over the 20-year period from 1981 –2000. This index is then normalized by GDP.The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 classes of an approximately equal number of grid cells of increasing risk. diff --git a/config/default/common/config/metadata/layers/sedac/NDH_Flood_Proportional_Economic_Loss_Risk_Deciles_2000.md b/config/default/common/config/metadata/layers/sedac/NDH_Flood_Proportional_Economic_Loss_Risk_Deciles_2000.md index 063c2bcbe2..17090f5f47 100644 --- a/config/default/common/config/metadata/layers/sedac/NDH_Flood_Proportional_Economic_Loss_Risk_Deciles_2000.md +++ b/config/default/common/config/metadata/layers/sedac/NDH_Flood_Proportional_Economic_Loss_Risk_Deciles_2000.md @@ -1,4 +1,4 @@ -The Flood Hazard: Economic Risk layer indicates the the proportional economic impacts of global flood hazard between 1985 and 2003. The information displayed in Worldview/Global Imagery Browse Services (GIBS) reflects the decile within which the risk lies, ranging from low to high economic risk: 1st to 10th decile. +The Flood Hazard: Economic Risk layer indicates the proportional economic impacts of global flood hazard between 1985 and 2003. The information displayed in Worldview/Global Imagery Browse Services (GIBS) reflects the decile within which the risk lies, ranging from low to high economic risk: 1st to 10th decile. Global Flood Proportional Economic Loss Risk Deciles is a 2.5 minute grid of flood hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The vulnerability weights are based on historical economic losses in previous disasters. The economic loss risks are applied to GDP per unit area exposure to obtain economic loss risks. The weights are an aggregate index relative to losses within each region and country wealth class (classifications based on 2000 GDP) over the 20-year period from 1981 –2000. This index is then normalized by GDP. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 classes of an approximately equal number of grid cells of increasing risk. diff --git a/config/default/common/config/metadata/layers/sedac/NDH_Volcano_Proportional_Economic_Loss_Risk_Deciles_2000.md b/config/default/common/config/metadata/layers/sedac/NDH_Volcano_Proportional_Economic_Loss_Risk_Deciles_2000.md index f1e30faa93..4ea57cfce6 100644 --- a/config/default/common/config/metadata/layers/sedac/NDH_Volcano_Proportional_Economic_Loss_Risk_Deciles_2000.md +++ b/config/default/common/config/metadata/layers/sedac/NDH_Volcano_Proportional_Economic_Loss_Risk_Deciles_2000.md @@ -1,4 +1,4 @@ -The Volcano Hazard: Economic Risk layer indicates the the proportional economic impacts of global volcano hazard from 1979 to 2000. The information displayed in Worldview/Global Imagery Browse Services (GIBS) reflects the decile within which the risk lies, ranging from low to high economic risk: 1st to 10th decile. +The Volcano Hazard: Economic Risk layer indicates the proportional economic impacts of global volcano hazard from 1979 to 2000. The information displayed in Worldview/Global Imagery Browse Services (GIBS) reflects the decile within which the risk lies, ranging from low to high economic risk: 1st to 10th decile. Global Volcano Proportional Economic Loss Risk Deciles is a 2.5 minute grid of volcano hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The vulnerability weights are based on historical economic losses in previous disasters. The economic loss risks are applied to GDP per unit area exposure to obtain economic loss risks. The weights are an aggregate index relative to losses within each region and country wealth class (classifications based on 2000 GDP) over the 20-year period from 1981 –2000. This index is then normalized by GDP. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 classes of an approximately equal number of grid cells of increasing risk. diff --git a/config/default/common/config/metadata/layers/sedac/Summer_Day_Max_Land_Surface_Temp_2013.md b/config/default/common/config/metadata/layers/sedac/Summer_Day_Max_Land_Surface_Temp_2013.md index 4e670e1664..cdab330b16 100644 --- a/config/default/common/config/metadata/layers/sedac/Summer_Day_Max_Land_Surface_Temp_2013.md +++ b/config/default/common/config/metadata/layers/sedac/Summer_Day_Max_Land_Surface_Temp_2013.md @@ -1,4 +1,4 @@ -The Summer Daytime Maximum Land Surface Temperature layer is from the The Global Summer Land Surface Temperature (LST) Grids, 2013 data set. The Global Summer Land Surface Temperature (LST) Grids, 2013, represent daytime maximum temperature and nighttime minimum temperature in degree Celsius at a spatial resolution of 30 arc-seconds (~1 km) during summer months of the northern and southern hemisphere for the year 2013. The grids are produced using Aqua Level-3 Moderate Resolution Imaging Spectroradiometer (MODIS) Version 5 global daytime and nighttime LST 8-day composite data (MYD11A2). +The Summer Daytime Maximum Land Surface Temperature layer is from the Global Summer Land Surface Temperature (LST) Grids, 2013 data set. The Global Summer Land Surface Temperature (LST) Grids, 2013, represent daytime maximum temperature and nighttime minimum temperature in degree Celsius at a spatial resolution of 30 arc-seconds (~1 km) during summer months of the northern and southern hemisphere for the year 2013. The grids are produced using Aqua Level-3 Moderate Resolution Imaging Spectroradiometer (MODIS) Version 5 global daytime and nighttime LST 8-day composite data (MYD11A2). For most regions, the LST grids provide the daytime maximum (1:30 p.m. overpass) and nighttime minimum (1:30 a.m. overpass) LST values for each grid cell from a 40-day time-span during July-August (Julian days 185-224) 2013 in the northern hemisphere and January-February (Julian days 001-040) 2013 in the southern hemisphere. LST grid cells with missing values resulting from high cloud cover in tropical regions were filled with daytime maximum and nighttime minimum LST values from April-May 2013 in the northern hemisphere and December 2013-January 2014 in the southern hemisphere, where available. Some data gaps remain in areas where data were insufficient (e.g., Central Africa). diff --git a/config/default/common/config/metadata/layers/sedac/Summer_Night_Min_Land_Surface_Temp_2013.md b/config/default/common/config/metadata/layers/sedac/Summer_Night_Min_Land_Surface_Temp_2013.md index 74b1455fb6..9239e9004e 100644 --- a/config/default/common/config/metadata/layers/sedac/Summer_Night_Min_Land_Surface_Temp_2013.md +++ b/config/default/common/config/metadata/layers/sedac/Summer_Night_Min_Land_Surface_Temp_2013.md @@ -1,4 +1,4 @@ -The Summer Nighttime Minimum Land Surface Temperature layer is from the The Global Summer Land Surface Temperature (LST) Grids, 2013 data set. The Global Summer Land Surface Temperature (LST) Grids, 2013, represent daytime maximum temperature and nighttime minimum temperature in degree Celsius at a spatial resolution of 30 arc-seconds (~1 km) during summer months of the northern and southern hemisphere for the year 2013. The grids are produced using Aqua Level-3 Moderate Resolution Imaging Spectroradiometer (MODIS) Version 5 global daytime and nighttime LST 8-day composite data (MYD11A2). +The Summer Nighttime Minimum Land Surface Temperature layer is from the Global Summer Land Surface Temperature (LST) Grids, 2013 data set. The Global Summer Land Surface Temperature (LST) Grids, 2013, represent daytime maximum temperature and nighttime minimum temperature in degree Celsius at a spatial resolution of 30 arc-seconds (~1 km) during summer months of the northern and southern hemisphere for the year 2013. The grids are produced using Aqua Level-3 Moderate Resolution Imaging Spectroradiometer (MODIS) Version 5 global daytime and nighttime LST 8-day composite data (MYD11A2). For most regions, the LST grids provide the daytime maximum (1:30 p.m. overpass) and nighttime minimum (1:30 a.m. overpass) LST values for each grid cell from a 40-day time-span during July-August (Julian days 185-224) 2013 in the northern hemisphere and January-February (Julian days 001-040) 2013 in the southern hemisphere. LST grid cells with missing values resulting from high cloud cover in tropical regions were filled with daytime maximum and nighttime minimum LST values from April-May 2013 in the northern hemisphere and December 2013-January 2014 in the southern hemisphere, where available. Some data gaps remain in areas where data were insufficient (e.g., Central Africa). diff --git a/config/default/common/config/metadata/layers/srtm/SRTM_Color_Index.md b/config/default/common/config/metadata/layers/srtm/SRTM_Color_Index.md index 3d0120ed5c..7994453f0d 100644 --- a/config/default/common/config/metadata/layers/srtm/SRTM_Color_Index.md +++ b/config/default/common/config/metadata/layers/srtm/SRTM_Color_Index.md @@ -1,3 +1,3 @@ -The Shuttle Radar Topography Mission (NASA SRTM v3, Color Index) layer is from the the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Version 3 Shuttle Radar Topography Mission (SRTM) data product (SRTMGL1). This layer provides near-global, void-free, elevation information at 1 arc second (~30 meter) spatial resolution between 60° north and 56° south latitude. NASA SRTM data products result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA), as well as the participation of the German and Italian space agencies. The purpose of the SRTM was to generate a digital elevation model (DEM) of 80% of the Earth's surface using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and flew for 11 days. On the default palette, white indicates the highest elevations, then brown, yellow and greens indicate low elevations. +The Shuttle Radar Topography Mission (NASA SRTM v3, Color Index) layer is from the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Version 3 Shuttle Radar Topography Mission (SRTM) data product (SRTMGL1). This layer provides near-global, void-free, elevation information at 1 arc second (~30 meter) spatial resolution between 60° north and 56° south latitude. NASA SRTM data products result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA), as well as the participation of the German and Italian space agencies. The purpose of the SRTM was to generate a digital elevation model (DEM) of 80% of the Earth's surface using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and flew for 11 days. On the default palette, white indicates the highest elevations, then brown, yellow and greens indicate low elevations. References: [LP DAAC - NASA MEaSUREs SRTM Version 3](https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1.003) diff --git a/config/default/common/config/wv.json/layers/modis/terra/MODIS_Terra_EVI_8Day.json b/config/default/common/config/wv.json/layers/modis/terra/MODIS_Terra_EVI_8Day.json index 2f7d0086eb..34ece0fc6a 100644 --- a/config/default/common/config/wv.json/layers/modis/terra/MODIS_Terra_EVI_8Day.json +++ b/config/default/common/config/wv.json/layers/modis/terra/MODIS_Terra_EVI_8Day.json @@ -4,10 +4,7 @@ "id": "MODIS_Terra_EVI_8Day", "description": "modis/terra/MODIS_Terra_EVI_8Day", "group": "overlays", - "layergroup": "Vegetation Indices", - "availability": { - "rollingWindow": 20 - } + "layergroup": "Vegetation Indices" } } } \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/modis/terra/MODIS_Terra_NDVI_8Day.json b/config/default/common/config/wv.json/layers/modis/terra/MODIS_Terra_NDVI_8Day.json index 66b3dd5e36..c3533b46f1 100644 --- a/config/default/common/config/wv.json/layers/modis/terra/MODIS_Terra_NDVI_8Day.json +++ b/config/default/common/config/wv.json/layers/modis/terra/MODIS_Terra_NDVI_8Day.json @@ -5,10 +5,7 @@ "description": "modis/terra/MODIS_Terra_NDVI_8Day", "group": "overlays", "tags": "ndvi normalized difference vegetation index", - "layergroup": "Vegetation Indices", - "availability": { - "rollingWindow": 20 - } + "layergroup": "Vegetation Indices" } } } \ No newline at end of file From 12695fe4c866d553de4d50cd282ebff50989ddb9 Mon Sep 17 00:00:00 2001 From: minniewong Date: Wed, 14 Aug 2024 11:18:48 -0400 Subject: [PATCH 06/14] WV-2494: Add 4 GOES Fire Temp and Dust layers (#5407) --- .../layers/goes/GOES-East_ABI_Dust.md | 18 ++++++++++++++++ .../layers/goes/GOES-East_ABI_FireTemp.md | 19 +++++++++++++++++ .../layers/goes/GOES-West_ABI_Dust.md | 18 ++++++++++++++++ .../layers/goes/GOES-West_ABI_FireTemp.md | 19 +++++++++++++++++ .../common/config/wv.json/layerOrder.json | 4 ++++ .../layers/goes/GOES-East_ABI_Dust.json | 15 +++++++++++++ .../layers/goes/GOES-East_ABI_FireTemp.json | 15 +++++++++++++ .../layers/goes/GOES-West_ABI_Dust.json | 15 +++++++++++++ .../layers/goes/GOES-West_ABI_FireTemp.json | 15 +++++++++++++ .../config/wv.json/measurements/Dust.json | 20 +++++++++++++++++- ...eatured - Fires and Thermal Anomalies.json | 2 +- .../Fires and Thermal Anomalies.json | 20 +++++++++++++++++- .../geographic/GOES-East_ABI_Dust.jpg | Bin 0 -> 35289 bytes .../geographic/GOES-East_ABI_FireTemp.jpg | Bin 0 -> 23882 bytes .../geographic/GOES-West_ABI_Dust.jpg | Bin 0 -> 37426 bytes .../geographic/GOES-West_ABI_FireTemp.jpg | Bin 0 -> 23444 bytes 16 files changed, 177 insertions(+), 3 deletions(-) create mode 100644 config/default/common/config/metadata/layers/goes/GOES-East_ABI_Dust.md create mode 100644 config/default/common/config/metadata/layers/goes/GOES-East_ABI_FireTemp.md create mode 100644 config/default/common/config/metadata/layers/goes/GOES-West_ABI_Dust.md create mode 100644 config/default/common/config/metadata/layers/goes/GOES-West_ABI_FireTemp.md create mode 100644 config/default/common/config/wv.json/layers/goes/GOES-East_ABI_Dust.json create mode 100644 config/default/common/config/wv.json/layers/goes/GOES-East_ABI_FireTemp.json create mode 100644 config/default/common/config/wv.json/layers/goes/GOES-West_ABI_Dust.json create mode 100644 config/default/common/config/wv.json/layers/goes/GOES-West_ABI_FireTemp.json create mode 100644 web/images/layers/previews/geographic/GOES-East_ABI_Dust.jpg create mode 100644 web/images/layers/previews/geographic/GOES-East_ABI_FireTemp.jpg create mode 100644 web/images/layers/previews/geographic/GOES-West_ABI_Dust.jpg create mode 100644 web/images/layers/previews/geographic/GOES-West_ABI_FireTemp.jpg diff --git a/config/default/common/config/metadata/layers/goes/GOES-East_ABI_Dust.md b/config/default/common/config/metadata/layers/goes/GOES-East_ABI_Dust.md new file mode 100644 index 0000000000..8201d6dee8 --- /dev/null +++ b/config/default/common/config/metadata/layers/goes/GOES-East_ABI_Dust.md @@ -0,0 +1,18 @@ +Note: This layer is generally available for the **most recent 90 days**, though certain historical ranges are also preserved. + +The Dust RGB layer from the GOES-East Advanced Baseline Imager (ABI) is used to identify dust. Dust can be hard to see in visible and infrared imagery because it is optically thin, or because it appears similar to other cloud types such as cirrus. The Dust RGB layer contrasts airborne dust from clouds using band differencing and the IR thermal channel. The IR band differencing allows dust storms to be observed during both daytime and at night. + +To interpret the RGB image, the following is a guide as to what each color represents in the image: + +* Dust plume, day - bright magenta, pink, Note: Dust at night becomes purple shades below 3 km +* Low, water cloud - light purple +* Desert surface, day - light blue +* Mid, thick clouds - tan shades +* Mid, thin cloud - green +* Cold, thick clouds - red +* High, thin ice clouds - black +* Very thin clouds, over warm surface - blue + +The Geostationary Operational Environmental Satellites (GOES)-East satellite (currently, GOES-16) is centered on 75.2 degrees W, covering the Conterminous US, Canada, Central and South America. The GOES-East ABI imagery is available on a rolling 90-day basis at 10 minute intervals. The sensor resolution is 2 km, the imagery resolution in Worldview/Global Imagery Browse Services (GIBS) is 2 km, the temporal resolution is 10 minutes, and the latency (time from satellite acquisition to availability in GIBS) is approximately 40 minutes. + +References: [GOES-R: Dust RGB Quick Guide](https://www.star.nesdis.noaa.gov/goes/documents/QuickGuide_Dust_RGB.pdf) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/goes/GOES-East_ABI_FireTemp.md b/config/default/common/config/metadata/layers/goes/GOES-East_ABI_FireTemp.md new file mode 100644 index 0000000000..77bd025ec8 --- /dev/null +++ b/config/default/common/config/metadata/layers/goes/GOES-East_ABI_FireTemp.md @@ -0,0 +1,19 @@ +Note: This layer is generally available for the **most recent 90 days**, though certain historical ranges are also preserved. + +The Fire Temperature RGB layer from the GOES-East Advanced Baseline Imager (ABI) is used to identify where the most intense fires are occurring and differentiate these from "cooler" fires. The RGB takes advantage of the fact that from 3.9µm to shorter wavelengths, background solar radiation and surface reflectance increases. This means that fires need to be more intense in order to be detected by the 2.2 and 1.6µm bands, as more intense fires emit more radiation at these wavelengths. Therefore, small/"cool" fires will only show up at 3.9µm and appear red while increases in fire intensity cause greater contributions of the other channels resulting in white very intense fires. + +To interpret the RGB image, the following is a guide as to what each color represents in the image: + +* Warm fire - red +* Very warm fire - orange +* Hot fire - yellow +* Very hot fire - near white +* Burn scars - shades of maroon +* Clear sky: land - purples to pink +* Clear sky: water/snow/night - near black +* Water clouds - shades of blue +* Ice clouds - shades of green + +The Geostationary Operational Environmental Satellites (GOES)-East satellite (currently, GOES-16) is centered on 75.2 degrees W, covering the Conterminous US, Canada, Central and South America. The GOES-East ABI imagery is available on a rolling 90-day basis at 10 minute intervals. The sensor resolution is 2 km, the imagery resolution in Worldview/Global Imagery Browse Services (GIBS) is 2 km, the temporal resolution is 10 minutes, and the latency (time from satellite acquisition to availability in GIBS) is approximately 40 minutes. + +References: [GOES-R: Fire Temperature RGB Quick Guide](https://www.star.nesdis.noaa.gov/goes/documents/QuickGuide_Fire_Temperature_RGB.pdf) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/goes/GOES-West_ABI_Dust.md b/config/default/common/config/metadata/layers/goes/GOES-West_ABI_Dust.md new file mode 100644 index 0000000000..8e01789613 --- /dev/null +++ b/config/default/common/config/metadata/layers/goes/GOES-West_ABI_Dust.md @@ -0,0 +1,18 @@ +Note: This layer is generally available for the **most recent 90 days**, though certain historical ranges are also preserved. + +The Dust RGB layer from the GOES-West Advanced Baseline Imager (ABI) is used to identify dust. Dust can be hard to see in visible and infrared imagery because it is optically thin, or because it appears similar to other cloud types such as cirrus. The Dust RGB layer contrasts airborne dust from clouds using band differencing and the IR thermal channel. The IR band differencing allows dust storms to be observed during both daytime and at night. + +To interpret the RGB image, the following is a guide as to what each color represents in the image: + +* Dust plume, day - bright magenta, pink, Note: Dust at night becomes purple shades below 3 km +* Low, water cloud - light purple +* Desert surface, day - light blue +* Mid, thick clouds - tan shades +* Mid, thin cloud - green +* Cold, thick clouds - red +* High, thin ice clouds - black +* Very thin clouds, over warm surface - blue + +The Geostationary Operational Environmental Satellites (GOES)-West satellite (currently, GOES-18) is centered on 137.2 degrees W, covering most of the Pacific Ocean, the USA, most of Canada, Central America, the western half of South America, and parts of Australasia. The GOES-West ABI imagery is available on a rolling 90-day basis at 10 minute intervals. The sensor resolution is 2 km, the imagery resolution in Worldview/Global Imagery Browse Services (GIBS) is 2 km, the temporal resolution is 10 minutes, and the latency (time from satellite acquisition to availability in GIBS) is approximately 40 minutes. + +References: [GOES-R: Dust RGB Quick Guide](https://www.star.nesdis.noaa.gov/goes/documents/QuickGuide_Dust_RGB.pdf) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/goes/GOES-West_ABI_FireTemp.md b/config/default/common/config/metadata/layers/goes/GOES-West_ABI_FireTemp.md new file mode 100644 index 0000000000..d49e9b67bf --- /dev/null +++ b/config/default/common/config/metadata/layers/goes/GOES-West_ABI_FireTemp.md @@ -0,0 +1,19 @@ +Note: This layer is generally available for the **most recent 90 days**, though certain historical ranges are also preserved. + +The Fire Temperature RGB layer from the GOES-West Advanced Baseline Imager (ABI) is used to identify where the most intense fires are occurring and differentiate these from "cooler" fires. The RGB takes advantage of the fact that from 3.9µm to shorter wavelengths, background solar radiation and surface reflectance increases. This means that fires need to be more intense in order to be detected by the 2.2 and 1.6µm bands, as more intense fires emit more radiation at these wavelengths. Therefore, small/"cool" fires will only show up at 3.9µm and appear red while increases in fire intensity cause greater contributions of the other channels resulting in white very intense fires. + +To interpret the RGB image, the following is a guide as to what each color represents in the image: + +* Warm fire - red +* Very warm fire - orange +* Hot fire - yellow +* Very hot fire - near white +* Burn scars - shades of maroon +* Clear sky: land - purples to pink +* Clear sky: water/snow/night - near black +* Water clouds - shades of blue +* Ice clouds - shades of green + +The Geostationary Operational Environmental Satellites (GOES)-West satellite (currently, GOES-18) is centered on 137.2 degrees W, covering most of the Pacific Ocean, the USA, most of Canada, Central America, the western half of South America, and parts of Australasia. The GOES-West ABI imagery is available on a rolling 90-day basis at 10 minute intervals. The sensor resolution is 2 km, the imagery resolution in Worldview/Global Imagery Browse Services (GIBS) is 2 km, the temporal resolution is 10 minutes, and the latency (time from satellite acquisition to availability in GIBS) is approximately 40 minutes. + +References: [GOES-R: Fire Temperature RGB Quick Guide](https://www.star.nesdis.noaa.gov/goes/documents/QuickGuide_Fire_Temperature_RGB.pdf) \ No newline at end of file diff --git a/config/default/common/config/wv.json/layerOrder.json b/config/default/common/config/wv.json/layerOrder.json index 7feeeb235a..1256febf73 100644 --- a/config/default/common/config/wv.json/layerOrder.json +++ b/config/default/common/config/wv.json/layerOrder.json @@ -158,6 +158,10 @@ "GOES-East_ABI_Air_Mass", "GOES-West_ABI_Air_Mass", "Himawari_AHI_Air_Mass", + "GOES-East_ABI_Dust", + "GOES-West_ABI_Dust", + "GOES-East_ABI_FireTemp", + "GOES-West_ABI_FireTemp", "GHRSST_L4_MUR_Sea_Surface_Temperature", "GHRSST_L4_MUR_Sea_Surface_Temperature_Anomalies", "GHRSST_L4_AVHRR-OI_Sea_Surface_Temperature", diff --git a/config/default/common/config/wv.json/layers/goes/GOES-East_ABI_Dust.json b/config/default/common/config/wv.json/layers/goes/GOES-East_ABI_Dust.json new file mode 100644 index 0000000000..e364dd48f8 --- /dev/null +++ b/config/default/common/config/wv.json/layers/goes/GOES-East_ABI_Dust.json @@ -0,0 +1,15 @@ +{ + "layers": { + "GOES-East_ABI_Dust": { + "id": "GOES-East_ABI_Dust", + "description": "goes/GOES-East_ABI_Dust", + "group": "overlays", + "tags": "geostationary geo", + "layergroup": "Geostationary", + "wrapX": true, + "availability": { + "rollingWindow": 90 + } + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/goes/GOES-East_ABI_FireTemp.json b/config/default/common/config/wv.json/layers/goes/GOES-East_ABI_FireTemp.json new file mode 100644 index 0000000000..e46973cc12 --- /dev/null +++ b/config/default/common/config/wv.json/layers/goes/GOES-East_ABI_FireTemp.json @@ -0,0 +1,15 @@ +{ + "layers": { + "GOES-East_ABI_FireTemp": { + "id": "GOES-East_ABI_FireTemp", + "description": "goes/GOES-East_ABI_FireTemp", + "group": "overlays", + "tags": "geostationary geo", + "layergroup": "Geostationary", + "wrapX": true, + "availability": { + "rollingWindow": 90 + } + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/goes/GOES-West_ABI_Dust.json b/config/default/common/config/wv.json/layers/goes/GOES-West_ABI_Dust.json new file mode 100644 index 0000000000..0e5f723d01 --- /dev/null +++ b/config/default/common/config/wv.json/layers/goes/GOES-West_ABI_Dust.json @@ -0,0 +1,15 @@ +{ + "layers": { + "GOES-West_ABI_Dust": { + "id": "GOES-West_ABI_Dust", + "description": "goes/GOES-West_ABI_Dust", + "group": "overlays", + "tags": "geostationary geo", + "layergroup": "Geostationary", + "wrapX": true, + "availability": { + "rollingWindow": 90 + } + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/goes/GOES-West_ABI_FireTemp.json b/config/default/common/config/wv.json/layers/goes/GOES-West_ABI_FireTemp.json new file mode 100644 index 0000000000..d85ea80300 --- /dev/null +++ b/config/default/common/config/wv.json/layers/goes/GOES-West_ABI_FireTemp.json @@ -0,0 +1,15 @@ +{ + "layers": { + "GOES-West_ABI_FireTemp": { + "id": "GOES-West_ABI_FireTemp", + "description": "goes/GOES-West_ABI_FireTemp", + "group": "overlays", + "tags": "geostationary geo", + "layergroup": "Geostationary", + "wrapX": true, + "availability": { + "rollingWindow": 90 + } + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/measurements/Dust.json b/config/default/common/config/wv.json/measurements/Dust.json index 48952fc4b8..7b839f4414 100644 --- a/config/default/common/config/wv.json/measurements/Dust.json +++ b/config/default/common/config/wv.json/measurements/Dust.json @@ -3,7 +3,7 @@ "Dust": { "id": "dust", "title": "Dust", - "subtitle": "Aqua/AIRS, MERRA-2", + "subtitle": "Aqua/AIRS, GOES-East/ABI, GOES-West/ABI, MERRA-2", "sources": { "Aqua/AIRS": { "id": "aqua-airs", @@ -17,6 +17,24 @@ "OrbitTracks_Aqua_Descending" ] }, + "GOES-East/ABI": { + "id": "goes-east-abi", + "title": "GOES-East/ABI", + "description": "", + "image": "", + "settings": [ + "GOES-East_ABI_Dust" + ] + }, + "GOES-West/ABI": { + "id": "goes-west-abi", + "title": "GOES-West/ABI", + "description": "", + "image": "", + "settings": [ + "GOES-West_ABI_Dust" + ] + }, "MERRA-2": { "id": "merra2", "title": "MERRA-2", diff --git a/config/default/common/config/wv.json/measurements/Featured - Fires and Thermal Anomalies.json b/config/default/common/config/wv.json/measurements/Featured - Fires and Thermal Anomalies.json index 17e658261a..d5aa234130 100644 --- a/config/default/common/config/wv.json/measurements/Featured - Fires and Thermal Anomalies.json +++ b/config/default/common/config/wv.json/measurements/Featured - Fires and Thermal Anomalies.json @@ -3,7 +3,7 @@ "Fires and Thermal Anomalies - Featured": { "id": "featured-fires-thermal-anomalies", "title": "Fires and Thermal Anomalies (Vectors)", - "subtitle": "Aqua/MODIS, Terra/MODIS, Aqua and Terra/MODIS, Suomi NPP/VIIRS, NOAA-20/VIIRS", + "subtitle": "Aqua/MODIS, Terra/MODIS, Aqua and Terra/MODIS, Suomi NPP/VIIRS, NOAA-20/VIIRS, GOES-East/ABI, GOES-West/ABI", "sources": { "Aqua/MODIS": { "id": "aqua-modis", diff --git a/config/default/common/config/wv.json/measurements/Fires and Thermal Anomalies.json b/config/default/common/config/wv.json/measurements/Fires and Thermal Anomalies.json index fe93515d13..1263cd74db 100644 --- a/config/default/common/config/wv.json/measurements/Fires and Thermal Anomalies.json +++ b/config/default/common/config/wv.json/measurements/Fires and Thermal Anomalies.json @@ -3,7 +3,7 @@ "Fires and Thermal Anomalies": { "id": "fires-thermal-anomalies", "title": "Fires and Thermal Anomalies", - "subtitle": "Aqua/MODIS, Terra/MODIS, Aqua and Terra/MODIS, Suomi NPP/VIIRS, NOAA-20/VIIRS", + "subtitle": "Aqua/MODIS, Terra/MODIS, Aqua and Terra/MODIS, Suomi NPP/VIIRS, NOAA-20/VIIRS, GOES-East/ABI, GOES-West/ABI", "sources": { "Aqua/MODIS": { "id": "aqua-modis", @@ -67,6 +67,24 @@ "OrbitTracks_NOAA-20_Ascending", "OrbitTracks_NOAA-20_Descending" ] + }, + "GOES-East/ABI": { + "id": "goes-east-abi", + "title": "GOES-East/ABI", + "description": "", + "image": "", + "settings": [ + "GOES-East_ABI_FireTemp" + ] + }, + "GOES-West/ABI": { + "id": "goes-west-abi", + "title": "GOES-West/ABI", + "description": "", + "image": "", + "settings": [ + "GOES-West_ABI_FireTemp" + ] } } } diff --git a/web/images/layers/previews/geographic/GOES-East_ABI_Dust.jpg b/web/images/layers/previews/geographic/GOES-East_ABI_Dust.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2171a7bcce13eb5ee6960c7dabd1e8045bc8f1e4 GIT binary patch literal 35289 zcmb@tWpG^0vL)JL`4cm>7;P~#S0MJoU(NIy) 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2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 8c26773f10..50555708ac 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ [![Worldview Screenshot](/web/images/readme-preview.jpg)](https://worldview.earthdata.nasa.gov) -[![Build Status](https://github.com/nasa-gibs/worldview/actions/workflows/build-test-app.yml/badge.svg?branch=main)](https://github.com/nasa-gibs/worldview/actions/workflows/build-test-app.yml) +[![Build Status]([![CI-CD](https://github.com/nasa-gibs/worldview/actions/workflows/ci-cd.yml/badge.svg)](https://github.com/nasa-gibs/worldview/actions/workflows/ci-cd.yml)) Interactive interface for browsing full-resolution, global satellite imagery. @@ -25,7 +25,7 @@ or [custom GDAL scripts](https://nasa-gibs.github.io/gibs-api-docs/map-library-u We encourage interested developers to fork Worldview or build their own clients using GIBS services. -Check out our [roadmap](https://github.com/nasa-gibs/worldview/projects/7) +Check out our [roadmap](https://github.com/orgs/nasa-gibs/projects/3/views/1) to see what we're working on and follow our [blog](https://wiki.earthdata.nasa.gov/pages/viewrecentblogposts.action?key=GIBS) to find out the latest features and imagery available. From c2c861745983f124559f162e9af9632f72505ac4 Mon Sep 17 00:00:00 2001 From: christof-wittreich Date: Wed, 14 Aug 2024 15:41:34 -0400 Subject: [PATCH 08/14] WV-2958 Additional Vegetation Indices (#5365) * Added other expressions * Changed colormaps * Adjusted selection card spacing * Added separate hls layers * fix typo * Revert "fix typo" This reverts commit 24bf1248d2bed544c416fe055a4e1a9d943553f5. * layer descriptions for new indices * update spacing for equations * Add new large preview images * Thumbnail preview images for customizable HLS * Thumbnails url * Fixed thumbnail height * fix typos --------- Co-authored-by: minniewong --- .../hls/HLS_Customizable_Sentinel.md | 2 +- .../multi-mission/hls/HLS_EVI_Landsat.md | 21 +++ .../multi-mission/hls/HLS_EVI_Sentinel.md | 21 +++ .../hls/HLS_False_Color_Sentinel.md | 2 +- .../hls/HLS_False_Color_Urban_Landsat.md | 2 +- .../hls/HLS_False_Color_Urban_Sentinel.md | 2 +- .../hls/HLS_False_Color_Vegetation_Landsat.md | 2 +- .../HLS_False_Color_Vegetation_Sentinel.md | 2 +- .../multi-mission/hls/HLS_MSAVI_Landsat.md | 19 ++ .../multi-mission/hls/HLS_MSAVI_Sentinel.md | 19 ++ .../hls/HLS_Moisture_Index_Landsat.md | 10 +- .../hls/HLS_Moisture_Index_Sentinel.md | 10 +- .../multi-mission/hls/HLS_NBR2_Landsat.md | 19 ++ .../multi-mission/hls/HLS_NBR2_Sentinel.md | 19 ++ .../multi-mission/hls/HLS_NBR_Landsat.md | 19 ++ .../multi-mission/hls/HLS_NBR_Sentinel.md | 19 ++ .../multi-mission/hls/HLS_NDSI_Landsat.md | 8 +- .../multi-mission/hls/HLS_NDSI_Sentinel.md | 8 +- .../multi-mission/hls/HLS_NDVI_Landsat.md | 10 +- .../multi-mission/hls/HLS_NDVI_Sentinel.md | 10 +- .../multi-mission/hls/HLS_NDWI_Landsat.md | 10 +- .../multi-mission/hls/HLS_NDWI_Sentinel.md | 10 +- ...HLS_S30_Nadir_BRDF_Adjusted_Reflectance.md | 2 +- .../multi-mission/hls/HLS_SAVI_Landsat.md | 19 ++ .../multi-mission/hls/HLS_SAVI_Sentinel.md | 19 ++ .../multi-mission/hls/HLS_SWIR_Sentinel.md | 9 - .../hls/HLS_Shortwave_Infrared_Landsat.md | 2 +- .../hls/HLS_Shortwave_Infrared_Sentinel.md | 2 +- .../multi-mission/hls/HLS_TVI_Landsat.md | 19 ++ .../multi-mission/hls/HLS_TVI_Sentinel.md | 17 ++ .../hls/HLS_True_Color_Landsat.md | 2 +- .../hls/HLS_True_Color_Sentinel.md | 2 +- .../common/config/wv.json/layerOrder.json | 12 ++ .../multi-mission/hls/HLS_EVI_Landsat.json | 36 ++++ .../multi-mission/hls/HLS_EVI_Sentinel.json | 36 ++++ .../multi-mission/hls/HLS_MSAVI_Landsat.json | 36 ++++ .../multi-mission/hls/HLS_MSAVI_Sentinel.json | 36 ++++ .../hls/HLS_Moisture_Index_Landsat.json | 2 +- .../hls/HLS_Moisture_Index_Sentinel.json | 2 +- .../multi-mission/hls/HLS_NBR2_Landsat.json | 36 ++++ .../multi-mission/hls/HLS_NBR2_Sentinel.json | 36 ++++ .../multi-mission/hls/HLS_NBR_Landsat.json | 36 ++++ .../multi-mission/hls/HLS_NBR_Sentinel.json | 36 ++++ .../multi-mission/hls/HLS_NDVI_Landsat.json | 2 +- .../multi-mission/hls/HLS_NDVI_Sentinel.json | 2 +- .../multi-mission/hls/HLS_SAVI_Landsat.json | 36 ++++ .../multi-mission/hls/HLS_SAVI_Sentinel.json | 36 ++++ .../multi-mission/hls/HLS_TVI_Landsat.json | 36 ++++ .../multi-mission/hls/HLS_TVI_Sentinel.json | 36 ++++ .../measurements/Vegetation Indices.json | 16 +- tasks/build-options/getVisMetadata.js | 12 ++ .../geographic/HLS_Color_Infrared_Landsat.jpg | Bin 136457 -> 0 bytes .../geographic/HLS_Customizable_Landsat.jpg | Bin 152119 -> 54613 bytes .../geographic/HLS_Customizable_Sentinel.jpg | Bin 151595 -> 54360 bytes .../previews/geographic/HLS_EVI_Landsat.jpg | Bin 0 -> 152776 bytes .../geographic/HLS_EVI_Landsat_th.jpg | Bin 0 -> 5401 bytes .../previews/geographic/HLS_EVI_Sentinel.jpg | Bin 0 -> 151255 bytes .../geographic/HLS_EVI_Sentinel_th.jpg | Bin 0 -> 5190 bytes .../geographic/HLS_False_Color_Landsat.jpg | Bin 136457 -> 76548 bytes .../geographic/HLS_False_Color_Landsat_th.jpg | Bin 0 -> 3839 bytes .../geographic/HLS_False_Color_Sentinel.jpg | Bin 133876 -> 81417 bytes .../HLS_False_Color_Sentinel_th.jpg | Bin 0 -> 3764 bytes 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.../previews/geographic/HLS_NBR2_Sentinel.jpg | Bin 0 -> 80891 bytes .../geographic/HLS_NBR2_Sentinel_th.jpg | Bin 0 -> 4928 bytes .../previews/geographic/HLS_NBR_Landsat.jpg | Bin 0 -> 80414 bytes .../geographic/HLS_NBR_Landsat_th.jpg | Bin 0 -> 5412 bytes .../previews/geographic/HLS_NBR_Sentinel.jpg | Bin 0 -> 79280 bytes .../geographic/HLS_NBR_Sentinel_th.jpg | Bin 0 -> 5393 bytes .../previews/geographic/HLS_NDMI_Landsat.jpg | Bin 0 -> 76472 bytes .../geographic/HLS_NDMI_Landsat_th.jpg | Bin 0 -> 4292 bytes .../geographic/HLS_NDMI_Sentinel_th.jpg | Bin 0 -> 4196 bytes .../previews/geographic/HLS_NDSI_Landsat.jpg | Bin 131798 -> 49120 bytes .../geographic/HLS_NDSI_Landsat_th.jpg | Bin 0 -> 2283 bytes .../previews/geographic/HLS_NDSI_Sentinel.jpg | Bin 103247 -> 33782 bytes .../geographic/HLS_NDSI_Sentinel_th.jpg | Bin 0 -> 1914 bytes .../previews/geographic/HLS_NDVI_Landsat.jpg | Bin 109296 -> 154049 bytes .../geographic/HLS_NDVI_Landsat_th.jpg | Bin 0 -> 5215 bytes .../previews/geographic/HLS_NDVI_Sentinel.jpg | Bin 105861 -> 163585 bytes .../geographic/HLS_NDVI_Sentinel_th.jpg | Bin 0 -> 5429 bytes .../previews/geographic/HLS_NDWI_Landsat.jpg | Bin 107611 -> 79686 bytes .../geographic/HLS_NDWI_Landsat_th.jpg | Bin 0 -> 2872 bytes .../previews/geographic/HLS_NDWI_Sentinel.jpg | Bin 103106 -> 72082 bytes .../geographic/HLS_NDWI_Sentinel_th.jpg | Bin 0 -> 2858 bytes .../previews/geographic/HLS_SAVI_Landsat.jpg | Bin 0 -> 142961 bytes .../geographic/HLS_SAVI_Landsat_th.jpg | Bin 0 -> 4973 bytes .../previews/geographic/HLS_SAVI_Sentinel.jpg | Bin 0 -> 159924 bytes .../geographic/HLS_SAVI_Sentinel_th.jpg | Bin 0 -> 4820 bytes .../previews/geographic/HLS_SWIR_Landsat.jpg | Bin 0 -> 68960 bytes .../geographic/HLS_SWIR_Landsat_th.jpg | Bin 0 -> 4017 bytes .../previews/geographic/HLS_SWIR_Sentinel.jpg | Bin 119421 -> 63835 bytes .../geographic/HLS_SWIR_Sentinel_th.jpg | Bin 0 -> 4044 bytes .../HLS_Shortwave_Infrared_Landsat.jpg | Bin 120909 -> 554 bytes .../HLS_Shortwave_Infrared_Sentinel.jpg | Bin 119421 -> 554 bytes .../previews/geographic/HLS_TVI_Landsat.jpg | Bin 0 -> 50977 bytes .../geographic/HLS_TVI_Landsat_th.jpg | Bin 0 -> 2252 bytes .../previews/geographic/HLS_TVI_Sentinel.jpg | Bin 0 -> 56516 bytes .../geographic/HLS_TVI_Sentinel_th.jpg | Bin 0 -> 2852 bytes .../menu-components/preset-options.js | 169 ++++++++++++++---- web/js/map/layerbuilder.js | 6 + web/scss/features/customize-bands.scss | 13 +- 115 files changed, 929 insertions(+), 76 deletions(-) create mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_EVI_Landsat.md create mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_EVI_Sentinel.md create mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_MSAVI_Landsat.md create mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_MSAVI_Sentinel.md create mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR2_Landsat.md create mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR2_Sentinel.md create mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR_Landsat.md create mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR_Sentinel.md create mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_SAVI_Landsat.md create mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_SAVI_Sentinel.md delete mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_SWIR_Sentinel.md create mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_TVI_Landsat.md create mode 100644 config/default/common/config/metadata/layers/multi-mission/hls/HLS_TVI_Sentinel.md create mode 100644 config/default/common/config/wv.json/layers/multi-mission/hls/HLS_EVI_Landsat.json create mode 100644 config/default/common/config/wv.json/layers/multi-mission/hls/HLS_EVI_Sentinel.json create mode 100644 config/default/common/config/wv.json/layers/multi-mission/hls/HLS_MSAVI_Landsat.json create mode 100644 config/default/common/config/wv.json/layers/multi-mission/hls/HLS_MSAVI_Sentinel.json create mode 100644 config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR2_Landsat.json create mode 100644 config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR2_Sentinel.json create mode 100644 config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR_Landsat.json create mode 100644 config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR_Sentinel.json create mode 100644 config/default/common/config/wv.json/layers/multi-mission/hls/HLS_SAVI_Landsat.json create mode 100644 config/default/common/config/wv.json/layers/multi-mission/hls/HLS_SAVI_Sentinel.json create mode 100644 config/default/common/config/wv.json/layers/multi-mission/hls/HLS_TVI_Landsat.json create mode 100644 config/default/common/config/wv.json/layers/multi-mission/hls/HLS_TVI_Sentinel.json delete mode 100644 web/images/layers/previews/geographic/HLS_Color_Infrared_Landsat.jpg create mode 100644 web/images/layers/previews/geographic/HLS_EVI_Landsat.jpg create mode 100644 web/images/layers/previews/geographic/HLS_EVI_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_EVI_Sentinel.jpg create mode 100644 web/images/layers/previews/geographic/HLS_EVI_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_False_Color_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_False_Color_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_False_Color_Urban_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_False_Color_Urban_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_False_Color_Vegetation_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_False_Color_Vegetation_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_MSAVI_Landsat.jpg create mode 100644 web/images/layers/previews/geographic/HLS_MSAVI_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_MSAVI_Sentinel.jpg create mode 100644 web/images/layers/previews/geographic/HLS_MSAVI_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NBR2_Landsat.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NBR2_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NBR2_Sentinel.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NBR2_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NBR_Landsat.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NBR_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NBR_Sentinel.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NBR_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NDMI_Landsat.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NDMI_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NDMI_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NDSI_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NDSI_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NDVI_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NDVI_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NDWI_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_NDWI_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_SAVI_Landsat.jpg create mode 100644 web/images/layers/previews/geographic/HLS_SAVI_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_SAVI_Sentinel.jpg create mode 100644 web/images/layers/previews/geographic/HLS_SAVI_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_SWIR_Landsat.jpg create mode 100644 web/images/layers/previews/geographic/HLS_SWIR_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_SWIR_Sentinel_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_TVI_Landsat.jpg create mode 100644 web/images/layers/previews/geographic/HLS_TVI_Landsat_th.jpg create mode 100644 web/images/layers/previews/geographic/HLS_TVI_Sentinel.jpg create mode 100644 web/images/layers/previews/geographic/HLS_TVI_Sentinel_th.jpg diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Customizable_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Customizable_Sentinel.md index 97b51ad36a..4f13ed2d40 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Customizable_Sentinel.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Customizable_Sentinel.md @@ -2,7 +2,7 @@ This Reflectance imagery layer can be customized to display any available Red-Green-Blue (R-G-B) band combination. Select the desired combination in via the Options panel. The layer is dynamically generated, therefore it may take longer to display. -The Reflectance imagery layer from Sentinel-2A and Sentinel-2B /MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_EVI_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_EVI_Landsat.md new file mode 100644 index 0000000000..d0833af5a8 --- /dev/null +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_EVI_Landsat.md @@ -0,0 +1,21 @@ +**NOTE: This layer is undergoing beta testing.** + +The dynamically generated Enhanced Vegetation Index (EVI) imagery layer is an index for quantifying green vegetation. EVI is similar to NDVI but corrects for some atmospheric conditions, canopy background noise, and is more sensitive to areas with dense vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths. + +It is calculated using: + +`EVI = G * ((NIR - R) / (NIR + C1 * R – C2 * B + L))` + +Specifically for Landsat 8 and 9: + +`EVI = 2.5 * ((B5 – B4) / (B5 + 6 * B4 – 7.5 * B2 + 1))` + +It incorporates an “L” value to adjust for canopy background, “C” values as coefficients for atmospheric resistance, and values from the blue band (B). These enhancements allow for index calculation as a ratio between the R and NIR values, while reducing the background noise, atmospheric noise, and saturation in most cases. + +The image is applied with a divergent blue-green to brown color palette. It depicts areas with a lot of green leaf growth, indicating the presence of chlorophyll, in dark green colors. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light yellows, and areas with little to no vegetation growth are in shades of brown. + +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. + +This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. + +References: HLSL30 v002 [doi:10.5067/HLS/HLSL30.002](https://doi.org/10.5067/HLS/HLSL30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_EVI_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_EVI_Sentinel.md new file mode 100644 index 0000000000..3ca71393b8 --- /dev/null +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_EVI_Sentinel.md @@ -0,0 +1,21 @@ +**NOTE: This layer is undergoing beta testing.** + +The dynamically generated Enhanced Vegetation Index (EVI) imagery layer is an index for quantifying green vegetation. EVI is similar to NDVI but corrects for some atmospheric conditions, canopy background noise, and is more sensitive to areas with dense vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths. + +It is calculated using: + +`EVI = G * ((NIR - R) / (NIR + C1 * R – C2 * B + L))` + +Specifically for Sentinel-2A and -2B: + +`EVI = 2.5 * ((B8A – B4) / (B8A + 6 * B4 – 7.5 * B2 + 1))` + +It incorporates an “L” value to adjust for canopy background, “C” values as coefficients for atmospheric resistance, and values from the blue band (B). These enhancements allow for index calculation as a ratio between the R and NIR values, while reducing the background noise, atmospheric noise, and saturation in most cases. + +The image is applied with a divergent blue-green to brown color palette. It depicts areas with a lot of green leaf growth, indicating the presence of chlorophyll, in dark green colors. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light yellows, and areas with little to no vegetation growth are in shades of brown. + +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. + +This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is only available at higher zoom levels. + +References: HLSS30 v002 [doi:10.5067/HLS/HLSS30.002](https://doi.org/10.5067/HLS/HLSS30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Sentinel.md index 57650c4945..f31733ead1 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Sentinel.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Sentinel.md @@ -2,7 +2,7 @@ The dynamically generated Reflectance (Bands 8-4-3, Color Infrared) imagery layer is a false color composite that is used to gauge plant health and assess plant density. Plants reflect in near infrared and green light, while absorbing in red. Areas with better vegetation health appear red, and denser plant growth is a darker red. Cities, urban areas, and exposed ground appear grey or tan and water is blue or black. -The Reflectance imagery layer from Sentinel-2A and Sentinel-2B /MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Urban_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Urban_Landsat.md index c58c169e35..e81a0fde12 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Urban_Landsat.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Urban_Landsat.md @@ -2,7 +2,7 @@ The dynamically generated Reflectance (Bands 7-6-4, Urban False Color) imagery layer is useful for visualizing urban areas more clearly. Urban areas are white, grey, or purple and vegetation appear in shades of green. Snow and ice are dark blue, and water is black or blue. Flooded areas are very dark blue, sometimes black. Wildfires and lava in calderas of volcanoes display in shades of yellow and red. -The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Urban_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Urban_Sentinel.md index d73f7c7d17..3cdc1dedf5 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Urban_Sentinel.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Urban_Sentinel.md @@ -3,7 +3,7 @@ The dynamically generated Reflectance (Bands 12-11-4, Urban False Color) imagery layer is useful for visualizing urban areas more clearly. Urban areas are white, grey, or purple and vegetation appear in shades of green. Snow and ice are dark blue, and water is black or blue. Flooded areas are very dark blue, sometimes black. Wildfires and lava in calderas of volcanoes display in shades of yellow and red. -The Reflectance imagery layer from Sentinel-2A and Sentinel-2B /MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Vegetation_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Vegetation_Landsat.md index a811a77498..4786c517c3 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Vegetation_Landsat.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Vegetation_Landsat.md @@ -2,7 +2,7 @@ The dynamically generated Reflectance (Bands 6-5-4, Vegetative Analysis False Color) imagery layer is useful for looking at vegetation. Vegetation are in shades of green. Burned areas appear bright red, while bare ground appear light red/pink. Water is black. -The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Vegetation_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Vegetation_Sentinel.md index 2cbd0dc69c..647dc4987f 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Vegetation_Sentinel.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_False_Color_Vegetation_Sentinel.md @@ -2,7 +2,7 @@ The dynamically generated Reflectance (Bands 11-8A-4, Vegetative Analysis False Color) imagery layer is useful for looking at vegetation. Vegetation are in shades of green. Burned areas appear bright red, while bare ground appear light red/pink. Water is black. -The Reflectance imagery layer from Sentinel-2A and Sentinel-2B /MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_MSAVI_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_MSAVI_Landsat.md new file mode 100644 index 0000000000..17f9cbb37e --- /dev/null +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_MSAVI_Landsat.md @@ -0,0 +1,19 @@ +**NOTE: This layer is undergoing beta testing.** + +The dynamically generated Modified Soil Adjusted Vegetation Index (MSAVI) imagery layer minimizes the effect of bare soil on the Soil Adjusted Vegetation Index (SAVI). MSAVI is calculated as a ratio between the R and NIR values with an inductive L function applied to maximize reduction of soil effects on the vegetation signal. + +It is calculated using: + +`MSAVI = (2 * NIR + 1 – sqrt ((2 * NIR + 1)2 – 8 * (NIR - R))) / 2` + +Specifically for Landsat 8 and 9: + +`MSAVI = (2 * Band 5 + 1 – sqrt ((2 * Band 5 + 1)2 – 8 * (Band 5 – Band 4))) / 2` + +The image is applied with a divergent blue-green to brown color palette. It depicts areas with a lot of green leaf growth, indicating the presence of chlorophyll, in dark green colors. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light greens, and areas with little to no vegetation growth are in shades of brown. + +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. + +This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. + +References: HLSL30 v002 [doi:10.5067/HLS/HLSL30.002](https://doi.org/10.5067/HLS/HLSL30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_MSAVI_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_MSAVI_Sentinel.md new file mode 100644 index 0000000000..d9c70968fd --- /dev/null +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_MSAVI_Sentinel.md @@ -0,0 +1,19 @@ +**NOTE: This layer is undergoing beta testing.** + +The dynamically generated Modified Soil Adjusted Vegetation Index (MSAVI) imagery layer minimizes the effect of bare soil on the Soil Adjusted Vegetation Index (SAVI). MSAVI is calculated as a ratio between the R and NIR values with an inductive L function applied to maximize reduction of soil effects on the vegetation signal. + +It is calculated using: + +`MSAVI = (2 * NIR + 1 – sqrt ((2 * NIR + 1)2 – 8 * (NIR - R))) / 2` + +Specifically for Sentinel-2A and -2B: + +`MSAVI = (2 * Band 8A + 1 – sqrt ((2 * Band 8A + 1)2 – 8 * (Band 8A – Band 4))) / 2` + +The image is applied with a divergent blue-green to brown color palette. It depicts areas with a lot of green leaf growth, indicating the presence of chlorophyll, in dark green colors. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light greens, and areas with little to no vegetation growth are in shades of brown. + +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. + +This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is only available at higher zoom levels. + +References: HLSS30 v002 [doi:10.5067/HLS/HLSS30.002](https://doi.org/10.5067/HLS/HLSS30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Moisture_Index_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Moisture_Index_Landsat.md index 059908f068..25b2aa691e 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Moisture_Index_Landsat.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Moisture_Index_Landsat.md @@ -1,8 +1,14 @@ **NOTE: This layer is undergoing beta testing.** -The dynamically generated Normalized Difference Moisture Index (NDMI) (B5-B6)/(B5+B6) imagery layer is an index to determine vegetation water content and monitor drought. It is calculated using near infrared and shortwave infrared (SWIR) wavelengths using the calculation NDMI = (B5-B6)/(B5+B6). On the rainbow color scale, darker blue colors represent high canopy without water stress, and greenish to yellow colors area areas approaching water stress. +The dynamically generated Normalized Difference Moisture Index (NDMI) (B5-B6)/(B5+B6) imagery layer is an index to determine vegetation water content and monitor drought. It is calculated using near infrared and shortwave infrared (SWIR) wavelengths. -The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. +It is calculated using: + +`NDMI = (B5-B6)/(B5+B6)` + +The image is applied with a divergent blue to red color palette. Darker blue colors represent high canopy without water stress, and red colors are areas approaching water stress. + +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Moisture_Index_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Moisture_Index_Sentinel.md index 4e7b971669..43a95b2af1 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Moisture_Index_Sentinel.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Moisture_Index_Sentinel.md @@ -1,8 +1,14 @@ **NOTE: This layer is undergoing beta testing.** -The dynamically generated Normalized Difference Moisture Index (NDMI) (B8A-B11)/(B8A+B11) imagery layer is an index to determine vegetation water content and monitor drought. It is calculated using near infrared and shortwave infrared (SWIR) wavelengths using the calculation NDMI = (B8A-B11)/(B8A+B11). On the rainbow color scale, darker blue colors represent high canopy without water stress, and greenish to yellow colors area areas approaching water stress. +The dynamically generated Normalized Difference Moisture Index (NDMI) (B8A-B11)/(B8A+B11) imagery layer is an index to determine vegetation water content and monitor drought. It is calculated using near infrared and shortwave infrared (SWIR) wavelengths. -The Reflectance imagery layer from Sentinel-2A and Sentinel-2B /MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. +It is calculated using: + +`NDMI = (B8A-B11)/(B8A+B11)` + +The image is applied with a divergent blue to red color palette. The image is applied with a divergent blue to red color palette. Darker blue colors represent high canopy without water stress, and red colors are areas approaching water stress. + +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR2_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR2_Landsat.md new file mode 100644 index 0000000000..897f6d5f46 --- /dev/null +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR2_Landsat.md @@ -0,0 +1,19 @@ +**NOTE: This layer is undergoing beta testing.** + +The dynamically generated Normalized Burn Ratio 2 (NBR2) imagery layer modifies the Normalized Burn Ratio (NBR) to highlight water sensitivity in vegetation and may be useful in post-fire recovery studies. NBR2 is calculated as a ratio between the SWIR values, substituting the SWIR1 band for the NIR band used in NBR. + +It is calculated using: + +`NBR2 = (SWIR1 – SWIR2) / (SWIR1 + SWIR2)` + +Specifically for Landsat 8 and 9: + +`NBR2 = (Band 6 – Band 7) / (Band 6 + Band 7)` + +The divergent purple to orange color palette depicts vegetated areas in shades of purple and burned areas in shades of orange. + +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. + +This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. + +References: HLSL30 v002 [doi:10.5067/HLS/HLSL30.002](https://doi.org/10.5067/HLS/HLSL30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR2_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR2_Sentinel.md new file mode 100644 index 0000000000..6646b0cb8e --- /dev/null +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR2_Sentinel.md @@ -0,0 +1,19 @@ +**NOTE: This layer is undergoing beta testing.** + +The dynamically generated Normalized Burn Ratio 2 (NBR2) imagery layer modifies the Normalized Burn Ratio (NBR) to highlight water sensitivity in vegetation and may be useful in post-fire recovery studies. NBR2 is calculated as a ratio between the SWIR values, substituting the SWIR1 band for the NIR band used in NBR. + +It is calculated using: + +`NBR2 = (SWIR1 – SWIR2) / (SWIR1 + SWIR2)` + +Specifically for Sentinel-2A and -2B: + +`NBR2 = (Band 11 – Band 12) / (Band 11 + Band 12)` + +The divergent purple to orange color palette depicts vegetated areas in shades of purple and burned areas in shades of orange. + +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. + +This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is only available at higher zoom levels. + +References: HLSS30 v002 [doi:10.5067/HLS/HLSS30.002](https://doi.org/10.5067/HLS/HLSS30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR_Landsat.md new file mode 100644 index 0000000000..18d8accfaa --- /dev/null +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR_Landsat.md @@ -0,0 +1,19 @@ +**NOTE: This layer is undergoing beta testing.** + +The dynamically generated Normalized Burn Ratio (NBR) imagery layer is used to identify burned areas and provide a measure of burn severity. It is calculated as a ratio between the NIR and SWIR values. + +It is calculated using: + +`NBR = (NIR - SWIR) / (NIR + SWIR)` + +Specifically for Landsat 8 and 9: + +`NBR = (Band 5 – Band 7) / (Band 5 + Band 7)` + +The divergent purple to orange color palette depicts vegetated areas in shades of purple and burned areas in shades of orange. + +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. + +This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. + +References: HLSL30 v002 [doi:10.5067/HLS/HLSL30.002](https://doi.org/10.5067/HLS/HLSL30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR_Sentinel.md new file mode 100644 index 0000000000..e71e0e66ab --- /dev/null +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NBR_Sentinel.md @@ -0,0 +1,19 @@ +**NOTE: This layer is undergoing beta testing.** + +The dynamically generated Normalized Burn Ratio (NBR) imagery layer is used to identify burned areas and provide a measure of burn severity. It is calculated as a ratio between the NIR and SWIR values. + +It is calculated using: + +`NBR = (NIR - SWIR) / (NIR + SWIR)` + +Specifically for Sentinel-2A and -2B: + +`NBR = (Band 8A – Band 12) / (Band 8A + Band 12)` + +The divergent purple to orange color palette depicts vegetated areas in shades of purple and burned areas in shades of orange. + +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. + +This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is only available at higher zoom levels. + +References: HLSS30 v002 [doi:10.5067/HLS/HLSS30.002](https://doi.org/10.5067/HLS/HLSS30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDSI_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDSI_Landsat.md index c8b45a257b..6db520945f 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDSI_Landsat.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDSI_Landsat.md @@ -1,8 +1,12 @@ **NOTE: This layer is undergoing beta testing.** -The dynamically generated Normalized Difference Snow Index (NDSI) (B3-B6)/(B3+B6) imagery layer is an index for quantifying snow cover. It can also be used to differentiate snow from cloud cover because while snow absorbs in the shortwave infrared light, it reflects the visible light, and cloud is generally reflective in both wavelengths. Snow cover is shown in dark blues. It is calculated using the calculation NDSI = (B3-B6)/(B3+B6). +The dynamically generated Normalized Difference Snow Index (NDSI) (B3-B6)/(B3+B6) imagery layer is an index for quantifying snow cover. It can also be used to differentiate snow from cloud cover because while snow absorbs in the shortwave infrared light, it reflects the visible light, and cloud is generally reflective in both wavelengths. Snow cover is shown in dark blues. -The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. +It is calculated using: + +`NDSI = (B3-B6)/(B3+B6)` + +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDSI_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDSI_Sentinel.md index fda7447686..ee3e999e9f 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDSI_Sentinel.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDSI_Sentinel.md @@ -1,8 +1,12 @@ **NOTE: This layer is undergoing beta testing.** -The dynamically generated Normalized Difference Snow Index (NDSI) (B3-B11)/(B3+B11) imagery layer is an index for quantifying snow cover. It can also be used to differentiate snow from cloud cover because while snow absorbs in the shortwave infrared light, it reflects the visible light, and cloud is generally reflective in both wavelengths. Snow cover is shown in dark blues. It is calculated using the calculation NDSI = (B3-B11)/(B3+B11). +The dynamically generated Normalized Difference Snow Index (NDSI) (B3-B11)/(B3+B11) imagery layer is an index for quantifying snow cover. It can also be used to differentiate snow from cloud cover because while snow absorbs in the shortwave infrared light, it reflects the visible light, and cloud is generally reflective in both wavelengths. Snow cover is shown in dark blues. -The Reflectance imagery layer from Sentinel-2A and Sentinel-2B /MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. +It is calculated using: + +`NDSI = (B3-B11)/(B3+B11)` + +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDVI_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDVI_Landsat.md index 1ce64e7f0f..f08c5789b2 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDVI_Landsat.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDVI_Landsat.md @@ -1,8 +1,14 @@ **NOTE: This layer is undergoing beta testing.** -The dynamically generated Normalized Difference Vegetation Index (NDVI) (B5-B4)/(B5+B4) imagery layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths. It is calculated using near infrared and red wavelengths using the calculation NDVI = (B5-B4)/(B5+B4). Depicted in dark green colors are areas with a lot of green leaf growth which indicates the presence of chlorophyll. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light greens, and areas with little to no vegetation growth are even lighter greens. +The dynamically generated Normalized Difference Vegetation Index (NDVI) (B5-B4)/(B5+B4) imagery layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths. It is calculated using near infrared and red wavelengths. -The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. +It is calculated using: + +`NDVI = (B5-B4)/(B5+B4)` + +The image is applied with a divergent blue-green to brown color palette. It depicts areas with a lot of green leaf growth, indicating the presence of chlorophyll, in dark green colors. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light yellows, and areas with little to no vegetation growth are shades of brown. + +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDVI_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDVI_Sentinel.md index 5567553cbc..d4e69d5a0e 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDVI_Sentinel.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDVI_Sentinel.md @@ -1,8 +1,14 @@ **NOTE: This layer is undergoing beta testing.** -The dynamically generated Normalized Difference Vegetation Index (NDVI) (B8-B4)/(B8+B4) imagery layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths. It is calculated using near infrared and red wavelengths using the calculation NDVI = (B8-B4)/(B8+B4). Depicted in dark green colors are areas with a lot of green leaf growth which indicates the presence of chlorophyll. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light greens, and areas with little to no vegetation growth are even lighter greens. +The dynamically generated Normalized Difference Vegetation Index (NDVI) (B8-B4)/(B8+B4) imagery layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths. It is calculated using near infrared and red wavelengths. -The Reflectance imagery layer from Sentinel-2A and Sentinel-2B /MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. +It is calculated using: + +`NDVI = (B8-B4)/(B8+B4)` + +The image is applied with a divergent blue-green to brown color palette. It depicts areas with a lot of green leaf growth, indicating the presence of chlorophyll, in dark green colors. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light yellows, and areas with little to no vegetation growth are in shades of brown. + +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDWI_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDWI_Landsat.md index b2f7844439..932a30adc1 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDWI_Landsat.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDWI_Landsat.md @@ -1,8 +1,14 @@ **NOTE: This layer is undergoing beta testing.** -The dynamically generated Normalized Difference Water Index (NDWI) (B3-B5)/(B3+B5) imagery layer is useful for identifying water bodies and to monitor changes related to water content in water bodies. It is calculated using green and near infrared wavelengths using the caculation NDWI = (B3-B5)/(B3+B5). The index can overestimate water bodies as it is sensitive to built-up areas. Teal and blues indicate water bodies. +The dynamically generated Normalized Difference Water Index (NDWI) (B3-B5)/(B3+B5) imagery layer is useful for identifying water bodies and to monitor changes related to water content in water bodies. It is calculated using green and near infrared wavelengths. -The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. +It is calculated using: + +`NDWI = (B3-B5)/(B3+B5)` + +The index can overestimate water bodies as it is sensitive to built-up areas. Teal and blues indicate water bodies. + +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDWI_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDWI_Sentinel.md index 8313920aa0..14031585b0 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDWI_Sentinel.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_NDWI_Sentinel.md @@ -1,8 +1,14 @@ **NOTE: This layer is undergoing beta testing.** -The dynamically generated Normalized Difference Water Index (NDWI) (B3-B8)/(B3+B8) imagery layer is useful for identifying water bodies and to monitor changes related to water content in water bodies. It is calculated using green and near infrared wavelengths using the caculation NDWI = (B3-B8)/(B3+B8). The index can overestimate water bodies as it is sensitive to built-up areas. Teal and blues indicate water bodies. +The dynamically generated Normalized Difference Water Index (NDWI) (B3-B8)/(B3+B8) imagery layer is useful for identifying water bodies and to monitor changes related to water content in water bodies. It is calculated using green and near infrared wavelengths. -The Reflectance imagery layer from Sentinel-2A and Sentinel-2B /MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. +It is calculated using: + +`NDWI = (B3-B8)/(B3+B8)` + +The index can overestimate water bodies as it is sensitive to built-up areas. Teal and blues indicate water bodies. + +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_S30_Nadir_BRDF_Adjusted_Reflectance.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_S30_Nadir_BRDF_Adjusted_Reflectance.md index 8a7ba7f705..41050c4a89 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_S30_Nadir_BRDF_Adjusted_Reflectance.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_S30_Nadir_BRDF_Adjusted_Reflectance.md @@ -1,4 +1,4 @@ -The Reflectance (Nadir BRDF Adjusted) imagery layer from Sentinel-2A and Sentinel-2B /MSI is a true-color or natural color image because this combination of wavelengths is similar to what the human eye would see. It consists of natural-looking images of land surface, oceanic and atmospheric features. The Reflectance (Nadir BRDF Adjusted) imagery layer from Sentinel-2A and Sentinel-2B /MSI provides 30m Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) and is derived from a combination of the European Union’s Copernicus Sentinel-2A and Sentinel-2B Multi-Spectral Instrument (MSI) data products through the Harmonized Landsat and Sentinel-2 (HLS) project. +The Reflectance (Nadir BRDF Adjusted) imagery layer from Sentinel-2A and Sentinel-2B/MSI is a true-color or natural color image because this combination of wavelengths is similar to what the human eye would see. It consists of natural-looking images of land surface, oceanic and atmospheric features. The Reflectance (Nadir BRDF Adjusted) imagery layer from Sentinel-2A and Sentinel-2B /MSI provides 30m Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) and is derived from a combination of the European Union’s Copernicus Sentinel-2A and Sentinel-2B Multi-Spectral Instrument (MSI) data products through the Harmonized Landsat and Sentinel-2 (HLS) project. The Reflectance (Nadir BRDF-Adjusted) product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_SAVI_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_SAVI_Landsat.md new file mode 100644 index 0000000000..5298a56428 --- /dev/null +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_SAVI_Landsat.md @@ -0,0 +1,19 @@ +**NOTE: This layer is undergoing beta testing.** + +The dynamically generated Soil Adjusted Vegetation Index (SAVI) imagery layer is used to correct Normalized Difference Vegetation Index (NDVI) for the influence of soil brightness in areas where vegetative cover is low. Surface Reflectance-derived SAVI is calculated as a ratio between the R and NIR values with a soil brightness correction factor (L) defined as 0.5 to accommodate most land cover types. + +It is calculated using: + +`SAVI = ((NIR - R) / (NIR + R + L)) * (1 + L)` + +Specifically for Landsat 8 and 9: + +`SAVI = ((Band 5 – Band 4) / (Band 5 + Band 4 + 0.5)) * (1.5)` + +The image is applied with a divergent blue-green to brown color palette. It depicts areas with a lot of green leaf growth, indicating the presence of chlorophyll, in dark green colors. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light greens, and areas with little to no vegetation growth are in shades of brown. + +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. + +This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. + +References: HLSL30 v002 [doi:10.5067/HLS/HLSL30.002](https://doi.org/10.5067/HLS/HLSL30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_SAVI_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_SAVI_Sentinel.md new file mode 100644 index 0000000000..d840a1ab0e --- /dev/null +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_SAVI_Sentinel.md @@ -0,0 +1,19 @@ +**NOTE: This layer is undergoing beta testing.** + +The dynamically generated Soil Adjusted Vegetation Index (SAVI) imagery layer is used to correct Normalized Difference Vegetation Index (NDVI) for the influence of soil brightness in areas where vegetative cover is low. Surface Reflectance-derived SAVI is calculated as a ratio between the R and NIR values with a soil brightness correction factor (L) defined as 0.5 to accommodate most land cover types. + +It is calculated using: + +`SAVI = ((NIR - R) / (NIR + R + L)) * (1 + L)` + +Specifically for Sentinel-2A and -2B: + +`SAVI = ((Band 8A – Band 4) / (Band 8A + Band 4 + 0.428)) * (1.428)` + +The image is applied with a divergent blue-green to brown color palette. It depicts areas with a lot of green leaf growth, indicating the presence of chlorophyll, in dark green colors. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light greens, and areas with little to no vegetation growth are in shades of brown. + +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. + +This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is only available at higher zoom levels. + +References: HLSS30 v002 [doi:10.5067/HLS/HLSS30.002](https://doi.org/10.5067/HLS/HLSS30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_SWIR_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_SWIR_Sentinel.md deleted file mode 100644 index 51c13bb88f..0000000000 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_SWIR_Sentinel.md +++ /dev/null @@ -1,9 +0,0 @@ -**NOTE: This layer is undergoing beta testing.** - -The dynamically generated Reflectance (Bands 12-8A-4, Shortwave Infrared) imagery layer is useful looking at how much water is present in plants and soils, as water absorbs in shortwave infrared wavelengths. It can be used to distinguish between cloud types like water clouds versus ice clouds, snow and ice, which appear white. Vegetation is in shades of green, soils and urban areas are in shades of brown, and water is black. Freshly burned areas appear red. - -The Reflectance imagery layer from Sentinel-2A and Sentinel-2B /MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. - -This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. - -References: HLSS30 v002 [doi:10.5067/HLS/HLSS30.002](https://doi.org/10.5067/HLS/HLSS30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Shortwave_Infrared_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Shortwave_Infrared_Landsat.md index 4db1316a16..cb85dd5f5c 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Shortwave_Infrared_Landsat.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Shortwave_Infrared_Landsat.md @@ -2,7 +2,7 @@ The dynamically generated Reflectance (Bands 7-5-4, Shortwave Infrared) imagery layer is useful looking at how much water is present in plants and soils, as water absorbs in shortwave infrared wavelengths. It can be used to distinguish between cloud types like water clouds versus ice clouds, snow and ice, which appear white. Vegetation is in shades of green, soils and urban areas are in shades of brown, and water is black. Freshly burned areas appear red. -The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Shortwave_Infrared_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Shortwave_Infrared_Sentinel.md index 51c13bb88f..b8171f9070 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Shortwave_Infrared_Sentinel.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_Shortwave_Infrared_Sentinel.md @@ -2,7 +2,7 @@ The dynamically generated Reflectance (Bands 12-8A-4, Shortwave Infrared) imagery layer is useful looking at how much water is present in plants and soils, as water absorbs in shortwave infrared wavelengths. It can be used to distinguish between cloud types like water clouds versus ice clouds, snow and ice, which appear white. Vegetation is in shades of green, soils and urban areas are in shades of brown, and water is black. Freshly burned areas appear red. -The Reflectance imagery layer from Sentinel-2A and Sentinel-2B /MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_TVI_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_TVI_Landsat.md new file mode 100644 index 0000000000..ebab183e80 --- /dev/null +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_TVI_Landsat.md @@ -0,0 +1,19 @@ +**NOTE: This layer is undergoing beta testing.** + +The dynamically generated Triangular Vegetation Index imagery layer is good for estimating green leaf area index (LAI), but its sensitivity to chlorophyll increases with an increase in canopy density. + +It is calculated using: + +`TVI = 120(NIR - Green) - 200(Red-Green) / 2` + +Specifically for Landsat 8 and 9: + +`TVI = 120(Band 5 – Band 3) - 200(Band 4 - Band 3) / 2` + +The image is applied with a divergent blue-green to brown color palette. It depicts areas with a lot of green leaf growth, indicating the presence of chlorophyll, in dark green colors. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light yellows, and areas with little to no vegetation growth are in shades of brown. + +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with an 8 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. + +This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. + +References: HLSL30 v002 [doi:10.5067/HLS/HLSL30.002](https://doi.org/10.5067/HLS/HLSL30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_TVI_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_TVI_Sentinel.md new file mode 100644 index 0000000000..d04d1fab98 --- /dev/null +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_TVI_Sentinel.md @@ -0,0 +1,17 @@ +**NOTE: This layer is undergoing beta testing.** + +The dynamically generated Triangular Vegetation Index imagery layer is good for estimating green leaf area index (LAI), but its sensitivity to chlorophyll increases with an increase in canopy density. + +It is calculated using: +`TVI = (120(NIR - Green) - 200(Red-Green)) / 2` + +Specifically for Sentinel-2A and -2B: +`TVI = (120(Band 8A – Band 3) - 200(Band 4 - Band 3)) / 2` + +The image is applied with a divergent blue-green to brown color palette. It depicts areas with a lot of green leaf growth, indicating the presence of chlorophyll, in dark green colors. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light yellows, and areas with little to no vegetation growth are in shades of brown. + +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. + +This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is only available at higher zoom levels. + +References: HLSS30 v002 [doi:10.5067/HLS/HLSS30.002](https://doi.org/10.5067/HLS/HLSS30.002) \ No newline at end of file diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_True_Color_Landsat.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_True_Color_Landsat.md index 0bcce7c63f..048c1cb82f 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_True_Color_Landsat.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_True_Color_Landsat.md @@ -2,7 +2,7 @@ The dynamically generated Reflectance (Bands 4-3-2, True Color) imagery layer is a true-color or natural color image because this combination of wavelengths is similar to what the human eye would see. It consists of natural-looking images of land surface, oceanic and atmospheric features. -The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with a 16 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. +The Reflectance imagery layer from Landsat 8 and 9/OLI product (L30) is available through the HLS project from the Operational Land Imager (OLI) aboard the Landsat 8 and 9 satellites. The sensor resolution is 30 m, imagery resolution is 30 m, and the temporal resolution is daily with a 16 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Sentinel-2A and Sentinel-2B imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_True_Color_Sentinel.md b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_True_Color_Sentinel.md index 5c06f8e2f4..967bf969ea 100644 --- a/config/default/common/config/metadata/layers/multi-mission/hls/HLS_True_Color_Sentinel.md +++ b/config/default/common/config/metadata/layers/multi-mission/hls/HLS_True_Color_Sentinel.md @@ -2,7 +2,7 @@ The dynamically generated Reflectance (Bands 4-3-2, True Color) imagery layer is a true-color or natural color image because this combination of wavelengths is similar to what the human eye would see. It consists of natural-looking images of land surface, oceanic and atmospheric features. -The Reflectance imagery layer from Sentinel-2A and Sentinel-2B /MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. +The Reflectance imagery layer from Sentinel-2A and Sentinel-2B/MSI product (S30) is available through the HLS project from the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The sensor resolution is 10, 20, and 60 m, imagery resolution is resampled to 30 m, and the temporal resolution is daily with a 5 day revisit time. The imagery is available in Worldview/GIBS approximately 2 - 4 days after satellite overpass. There is a separate combined Landsat 8 and 9 imagery layer available. This imagery layer is provided dynamically through the [NASA Interagency Implementation and Advanced Concepts Team (IMPACT)](https://earthdata.nasa.gov/esds/impact). As it is dynamically generated, it may take slightly longer to display than normal. The imagery is also only available at higher zoom levels. diff --git a/config/default/common/config/wv.json/layerOrder.json b/config/default/common/config/wv.json/layerOrder.json index 1256febf73..8db0931eb2 100644 --- a/config/default/common/config/wv.json/layerOrder.json +++ b/config/default/common/config/wv.json/layerOrder.json @@ -17,11 +17,23 @@ "HLS_NDVI_Landsat", "HLS_NDWI_Landsat", "HLS_NDSI_Landsat", + "HLS_EVI_Landsat", + "HLS_SAVI_Landsat", + "HLS_MSAVI_Landsat", + "HLS_NBR2_Landsat", + "HLS_NBR_Landsat", + "HLS_TVI_Landsat", "HLS_Moisture_Index_Landsat", "HLS_NDVI_Sentinel", "HLS_NDWI_Sentinel", "HLS_NDSI_Sentinel", "HLS_Moisture_Index_Sentinel", + "HLS_EVI_Sentinel", + "HLS_SAVI_Sentinel", + "HLS_MSAVI_Sentinel", + "HLS_NBR2_Sentinel", + "HLS_NBR_Sentinel", + "HLS_TVI_Sentinel", "VIIRS_SNPP_CorrectedReflectance_TrueColor_Granule", "VIIRS_SNPP_CorrectedReflectance_BandsM11-I2-I1_Granule", "VIIRS_SNPP_CorrectedReflectance_BandsM3-I3-M11_Granule", diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_EVI_Landsat.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_EVI_Landsat.json new file mode 100644 index 0000000000..87dbda301f --- /dev/null +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_EVI_Landsat.json @@ -0,0 +1,36 @@ +{ + "layers": { + "HLS_EVI_Landsat": { + "id": "HLS_EVI_Landsat", + "enableCMRDataFinder": true, + "collectionConceptID": "C2021957657-LPCLOUD", + "title": "Enhanced Vegetation Index (EVI) *BETA*", + "subtitle": "Landsat 8 & 9 / OLI", + "description": "multi-mission/hls/HLS_EVI_Landsat", + "tags": "corrected surface landsat oli l30 evi", + "group": "overlays", + "layergroup": "Land Surface Reflectance", + "format": "image/png", + "type": "titiler", + "period": "daily", + "orbitTracks": ["OrbitTracks_Landsat-8_Descending", "OrbitTracks_Landsat-9_Descending"], + "orbitDirection": ["descending", "descending"], + "bandCombo": { + "assets": ["B05", "B04", "B02"], + "expression": "(2.5*(B05-B04))/(B05+6*B04-7.5*B02+1)", + "rescale": "-1,1", + "colormap_name": "brbg" + }, + "disableSnapshot": true, + "minZoom": 7, + "wrapX": false, + "projections": { + "geographic": { + "source": "DDV", + "matrixSet": "31.25m" + } + }, + "startDate": "2022-01-01T00:00:00Z" + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_EVI_Sentinel.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_EVI_Sentinel.json new file mode 100644 index 0000000000..a391d2a0de --- /dev/null +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_EVI_Sentinel.json @@ -0,0 +1,36 @@ +{ + "layers": { + "HLS_EVI_Sentinel": { + "id": "HLS_EVI_Sentinel", + "enableCMRDataFinder": true, + "collectionConceptID": "C2021957295-LPCLOUD", + "title": "Enhanced Vegetation Index (EVI) *BETA*", + "subtitle": "Sentinel-2A & -2B / MSI", + "description": "multi-mission/hls/HLS_EVI_Sentinel", + "tags": "corrected surface Sentinel msi s30 evi", + "group": "overlays", + "layergroup": "Land Surface Reflectance", + "format": "image/png", + "type": "titiler", + "period": "daily", + "orbitTracks": ["OrbitTracks_Sentinel-2A_Descending", "OrbitTracks_Sentinel-2B_Descending"], + "orbitDirection": ["descending", "descending"], + "bandCombo": { + "assets": ["B05", "B04", "B02"], + "expression": "(2.5*(B05-B04))/(B05+6*B04-7.5*B02+1)", + "rescale": "-1,1", + "colormap_name": "brbg" + }, + "disableSnapshot": true, + "minZoom": 7, + "wrapX": false, + "projections": { + "geographic": { + "source": "DDV", + "matrixSet": "31.25m" + } + }, + "startDate": "2022-01-01T00:00:00Z" + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_MSAVI_Landsat.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_MSAVI_Landsat.json new file mode 100644 index 0000000000..aca90cc04f --- /dev/null +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_MSAVI_Landsat.json @@ -0,0 +1,36 @@ +{ + "layers": { + "HLS_MSAVI_Landsat": { + "id": "HLS_MSAVI_Landsat", + "enableCMRDataFinder": true, + "collectionConceptID": "C2021957657-LPCLOUD", + "title": "Modified Soil Adjusted Vegetation Index (MSAVI) *BETA*", + "subtitle": "Landsat 8 & 9 / OLI", + "description": "multi-mission/hls/HLS_MSAVI_Landsat", + "tags": "corrected surface landsat oli l30 msavi", + "group": "overlays", + "layergroup": "Land Surface Reflectance", + "format": "image/png", + "type": "titiler", + "period": "daily", + "orbitTracks": ["OrbitTracks_Landsat-8_Descending", "OrbitTracks_Landsat-9_Descending"], + "orbitDirection": ["descending", "descending"], + "bandCombo": { + "assets": ["B05", "B04"], + "expression": "(2*B05+1-sqrt((2*B05+1)**2-8*(B05-B04)))/2", + "rescale": "-1,1", + "colormap_name": "brbg" + }, + "disableSnapshot": true, + "minZoom": 7, + "wrapX": false, + "projections": { + "geographic": { + "source": "DDV", + "matrixSet": "31.25m" + } + }, + "startDate": "2022-01-01T00:00:00Z" + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_MSAVI_Sentinel.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_MSAVI_Sentinel.json new file mode 100644 index 0000000000..291fd6c816 --- /dev/null +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_MSAVI_Sentinel.json @@ -0,0 +1,36 @@ +{ + "layers": { + "HLS_MSAVI_Sentinel": { + "id": "HLS_MSAVI_Sentinel", + "enableCMRDataFinder": true, + "collectionConceptID": "C2021957295-LPCLOUD", + "title": "Modified Soil Adjusted Vegetation Index (MSAVI) *BETA*", + "subtitle": "Sentinel-2A & -2B / MSI", + "description": "multi-mission/hls/HLS_MSAVI_Sentinel", + "tags": "corrected surface Sentinel msi s30 msavi", + "group": "overlays", + "layergroup": "Land Surface Reflectance", + "format": "image/png", + "type": "titiler", + "period": "daily", + "orbitTracks": ["OrbitTracks_Sentinel-2A_Descending", "OrbitTracks_Sentinel-2B_Descending"], + "orbitDirection": ["descending", "descending"], + "bandCombo": { + "assets": ["B05", "B04"], + "expression": "(2*B05+1-sqrt((2*B05+1)**2-8*(B05-B04)))/2", + "rescale": "-1,1", + "colormap_name": "brbg" + }, + "disableSnapshot": true, + "minZoom": 7, + "wrapX": false, + "projections": { + "geographic": { + "source": "DDV", + "matrixSet": "31.25m" + } + }, + "startDate": "2022-01-01T00:00:00Z" + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_Moisture_Index_Landsat.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_Moisture_Index_Landsat.json index ac9425c0e8..ca6054af38 100644 --- a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_Moisture_Index_Landsat.json +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_Moisture_Index_Landsat.json @@ -19,7 +19,7 @@ "assets": ["B05", "B06"], "expression": "(B05-B06)/(B05+B06)", "rescale": "-1,1", - "colormap_name": "jet_r" + "colormap_name": "bwr_r" }, "disableSnapshot": true, "minZoom": 7, diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_Moisture_Index_Sentinel.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_Moisture_Index_Sentinel.json index b1d939f5da..d9c424c482 100644 --- a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_Moisture_Index_Sentinel.json +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_Moisture_Index_Sentinel.json @@ -19,7 +19,7 @@ "assets": ["B8A", "B11"], "expression": "(B8A-B11)/(B8A+B11)", "rescale": "-1,1", - "colormap_name": "jet_r" + "colormap_name": "bwr_r" }, "disableSnapshot": true, "minZoom": 7, diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR2_Landsat.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR2_Landsat.json new file mode 100644 index 0000000000..72635a0e42 --- /dev/null +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR2_Landsat.json @@ -0,0 +1,36 @@ +{ + "layers": { + "HLS_NBR2_Landsat": { + "id": "HLS_NBR2_Landsat", + "enableCMRDataFinder": true, + "collectionConceptID": "C2021957657-LPCLOUD", + "title": "Normalized Burn Ratio 2 (NBR2) *BETA*", + "subtitle": "Landsat 8 & 9 / OLI", + "description": "multi-mission/hls/HLS_NBR2_Landsat", + "tags": "corrected surface landsat oli l30 nbr2", + "group": "overlays", + "layergroup": "Land Surface Reflectance", + "format": "image/png", + "type": "titiler", + "period": "daily", + "orbitTracks": ["OrbitTracks_Landsat-8_Descending", "OrbitTracks_Landsat-9_Descending"], + "orbitDirection": ["descending", "descending"], + "bandCombo": { + "assets": ["B06", "B07"], + "expression": "(B06-B07)/(B06+B07)", + "rescale": "-1,1", + "colormap_name": "puor" + }, + "disableSnapshot": true, + "minZoom": 7, + "wrapX": false, + "projections": { + "geographic": { + "source": "DDV", + "matrixSet": "31.25m" + } + }, + "startDate": "2022-01-01T00:00:00Z" + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR2_Sentinel.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR2_Sentinel.json new file mode 100644 index 0000000000..7985ecafb7 --- /dev/null +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR2_Sentinel.json @@ -0,0 +1,36 @@ +{ + "layers": { + "HLS_NBR2_Sentinel": { + "id": "HLS_NBR2_Sentinel", + "enableCMRDataFinder": true, + "collectionConceptID": "C2021957295-LPCLOUD", + "title": "Normalized Burn Ratio 2 (NBR2) *BETA*", + "subtitle": "Sentinel-2A & -2B / MSI", + "description": "multi-mission/hls/HLS_NBR2_Sentinel", + "tags": "corrected surface Sentinel msi s30 nbr2", + "group": "overlays", + "layergroup": "Land Surface Reflectance", + "format": "image/png", + "type": "titiler", + "period": "daily", + "orbitTracks": ["OrbitTracks_Sentinel-2A_Descending", "OrbitTracks_Sentinel-2B_Descending"], + "orbitDirection": ["descending", "descending"], + "bandCombo": { + "assets": ["B06", "B07"], + "expression": "(B06-B07)/(B06+B07)", + "rescale": "-1,1", + "colormap_name": "puor" + }, + "disableSnapshot": true, + "minZoom": 7, + "wrapX": false, + "projections": { + "geographic": { + "source": "DDV", + "matrixSet": "31.25m" + } + }, + "startDate": "2022-01-01T00:00:00Z" + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR_Landsat.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR_Landsat.json new file mode 100644 index 0000000000..92b0d9d847 --- /dev/null +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR_Landsat.json @@ -0,0 +1,36 @@ +{ + "layers": { + "HLS_NBR_Landsat": { + "id": "HLS_NBR_Landsat", + "enableCMRDataFinder": true, + "collectionConceptID": "C2021957657-LPCLOUD", + "title": "Normalized Burn Ratio (NBR) *BETA*", + "subtitle": "Landsat 8 & 9 / OLI", + "description": "multi-mission/hls/HLS_NBR_Landsat", + "tags": "corrected surface landsat oli l30 nbr", + "group": "overlays", + "layergroup": "Land Surface Reflectance", + "format": "image/png", + "type": "titiler", + "period": "daily", + "orbitTracks": ["OrbitTracks_Landsat-8_Descending", "OrbitTracks_Landsat-9_Descending"], + "orbitDirection": ["descending", "descending"], + "bandCombo": { + "assets": ["B05", "B07"], + "expression": "(B05-B07)/(B05+B07)", + "rescale": "-1,1", + "colormap_name": "puor" + }, + "disableSnapshot": true, + "minZoom": 7, + "wrapX": false, + "projections": { + "geographic": { + "source": "DDV", + "matrixSet": "31.25m" + } + }, + "startDate": "2022-01-01T00:00:00Z" + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR_Sentinel.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR_Sentinel.json new file mode 100644 index 0000000000..0669e23800 --- /dev/null +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NBR_Sentinel.json @@ -0,0 +1,36 @@ +{ + "layers": { + "HLS_NBR_Sentinel": { + "id": "HLS_NBR_Sentinel", + "enableCMRDataFinder": true, + "collectionConceptID": "C2021957295-LPCLOUD", + "title": "Normalized Burn Ratio (NBR) *BETA*", + "subtitle": "Sentinel-2A & -2B / MSI", + "description": "multi-mission/hls/HLS_NBR_Sentinel", + "tags": "corrected surface Sentinel msi s30 nbr", + "group": "overlays", + "layergroup": "Land Surface Reflectance", + "format": "image/png", + "type": "titiler", + "period": "daily", + "orbitTracks": ["OrbitTracks_Sentinel-2A_Descending", "OrbitTracks_Sentinel-2B_Descending"], + "orbitDirection": ["descending", "descending"], + "bandCombo": { + "assets": ["B05", "B07"], + "expression": "(B05-B07)/(B05+B07)", + "rescale": "-1,1", + "colormap_name": "puor" + }, + "disableSnapshot": true, + "minZoom": 7, + "wrapX": false, + "projections": { + "geographic": { + "source": "DDV", + "matrixSet": "31.25m" + } + }, + "startDate": "2022-01-01T00:00:00Z" + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NDVI_Landsat.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NDVI_Landsat.json index 900498a1f7..40d97be3af 100644 --- a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NDVI_Landsat.json +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NDVI_Landsat.json @@ -19,7 +19,7 @@ "assets": ["B05", "B04"], "expression": "(B05-B04)/(B05+B04)", "rescale": "-1,1", - "colormap_name": "greens" + "colormap_name": "brbg" }, "disableSnapshot": true, "minZoom": 7, diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NDVI_Sentinel.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NDVI_Sentinel.json index 570a12746e..a0435549c7 100644 --- a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NDVI_Sentinel.json +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_NDVI_Sentinel.json @@ -19,7 +19,7 @@ "assets": ["B08", "B04"], "expression": "(B08-B04)/(B08+B04)", "rescale": "-1,1", - "colormap_name": "greens" + "colormap_name": "brbg" }, "disableSnapshot": true, "minZoom": 7, diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_SAVI_Landsat.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_SAVI_Landsat.json new file mode 100644 index 0000000000..61b6607b84 --- /dev/null +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_SAVI_Landsat.json @@ -0,0 +1,36 @@ +{ + "layers": { + "HLS_SAVI_Landsat": { + "id": "HLS_SAVI_Landsat", + "enableCMRDataFinder": true, + "collectionConceptID": "C2021957657-LPCLOUD", + "title": "Soil Adjusted Vegetation Index (SAVI) *BETA*", + "subtitle": "Landsat 8 & 9 / OLI", + "description": "multi-mission/hls/HLS_SAVI_Landsat", + "tags": "corrected surface landsat oli l30 savi", + "group": "overlays", + "layergroup": "Land Surface Reflectance", + "format": "image/png", + "type": "titiler", + "period": "daily", + "orbitTracks": ["OrbitTracks_Landsat-8_Descending", "OrbitTracks_Landsat-9_Descending"], + "orbitDirection": ["descending", "descending"], + "bandCombo": { + "assets": ["B05", "B04"], + "expression": "1.5*((B05-B04)/(B05+B04+0.5))", + "rescale": "-1,1", + "colormap_name": "brbg" + }, + "disableSnapshot": true, + "minZoom": 7, + "wrapX": false, + "projections": { + "geographic": { + "source": "DDV", + "matrixSet": "31.25m" + } + }, + "startDate": "2022-01-01T00:00:00Z" + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_SAVI_Sentinel.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_SAVI_Sentinel.json new file mode 100644 index 0000000000..998bb1e731 --- /dev/null +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_SAVI_Sentinel.json @@ -0,0 +1,36 @@ +{ + "layers": { + "HLS_SAVI_Sentinel": { + "id": "HLS_SAVI_Sentinel", + "enableCMRDataFinder": true, + "collectionConceptID": "C2021957295-LPCLOUD", + "title": "Soil Adjusted Vegetation Index (SAVI) *BETA*", + "subtitle": "Sentinel-2A & -2B / MSI", + "description": "multi-mission/hls/HLS_SAVI_Sentinel", + "tags": "corrected surface Sentinel msi s30 savi", + "group": "overlays", + "layergroup": "Land Surface Reflectance", + "format": "image/png", + "type": "titiler", + "period": "daily", + "orbitTracks": ["OrbitTracks_Sentinel-2A_Descending", "OrbitTracks_Sentinel-2B_Descending"], + "orbitDirection": ["descending", "descending"], + "bandCombo": { + "assets": ["B05", "B04"], + "expression": "1.5*((B05-B04)/(B05+B04+0.5))", + "rescale": "-1,1", + "colormap_name": "brbg" + }, + "disableSnapshot": true, + "minZoom": 7, + "wrapX": false, + "projections": { + "geographic": { + "source": "DDV", + "matrixSet": "31.25m" + } + }, + "startDate": "2022-01-01T00:00:00Z" + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_TVI_Landsat.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_TVI_Landsat.json new file mode 100644 index 0000000000..44abb743ee --- /dev/null +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_TVI_Landsat.json @@ -0,0 +1,36 @@ +{ + "layers": { + "HLS_TVI_Landsat": { + "id": "HLS_TVI_Landsat", + "enableCMRDataFinder": true, + "collectionConceptID": "C2021957657-LPCLOUD", + "title": "Triangular Vegetation Index (TVI) *BETA*", + "subtitle": "Landsat 8 & 9 / OLI", + "description": "multi-mission/hls/HLS_TVI_Landsat", + "tags": "corrected surface landsat oli l30 tvi", + "group": "overlays", + "layergroup": "Land Surface Reflectance", + "format": "image/png", + "type": "titiler", + "period": "daily", + "orbitTracks": ["OrbitTracks_Landsat-8_Descending", "OrbitTracks_Landsat-9_Descending"], + "orbitDirection": ["descending", "descending"], + "bandCombo": { + "assets": ["B03", "B04", "B05"], + "expression": "(120*(B05-B03)-200*(B04-B03))/2", + "rescale": "-1,1", + "colormap_name": "brbg" + }, + "disableSnapshot": true, + "minZoom": 7, + "wrapX": false, + "projections": { + "geographic": { + "source": "DDV", + "matrixSet": "31.25m" + } + }, + "startDate": "2022-01-01T00:00:00Z" + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_TVI_Sentinel.json b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_TVI_Sentinel.json new file mode 100644 index 0000000000..1a142eb817 --- /dev/null +++ b/config/default/common/config/wv.json/layers/multi-mission/hls/HLS_TVI_Sentinel.json @@ -0,0 +1,36 @@ +{ + "layers": { + "HLS_TVI_Sentinel": { + "id": "HLS_TVI_Sentinel", + "enableCMRDataFinder": true, + "collectionConceptID": "C2021957295-LPCLOUD", + "title": "Triangular Vegetation Index (TVI) *BETA*", + "subtitle": "Sentinel-2A & -2B / MSI", + "description": "multi-mission/hls/HLS_TVI_Sentinel", + "tags": "corrected surface Sentinel msi s30 tvi", + "group": "overlays", + "layergroup": "Land Surface Reflectance", + "format": "image/png", + "type": "titiler", + "period": "daily", + "orbitTracks": ["OrbitTracks_Sentinel-2A_Descending", "OrbitTracks_Sentinel-2B_Descending"], + "orbitDirection": ["descending", "descending"], + "bandCombo": { + "assets": ["B03", "B04", "B05"], + "expression": "(120*(B05-B03)-200*(B04-B03))/2", + "rescale": "-1,1", + "colormap_name": "brbg" + }, + "disableSnapshot": true, + "minZoom": 7, + "wrapX": false, + "projections": { + "geographic": { + "source": "DDV", + "matrixSet": "31.25m" + } + }, + "startDate": "2022-01-01T00:00:00Z" + } + } +} \ No newline at end of file diff --git a/config/default/common/config/wv.json/measurements/Vegetation Indices.json b/config/default/common/config/wv.json/measurements/Vegetation Indices.json index 0069cf7d80..fa21e3b26c 100644 --- a/config/default/common/config/wv.json/measurements/Vegetation Indices.json +++ b/config/default/common/config/wv.json/measurements/Vegetation Indices.json @@ -37,8 +37,14 @@ "description": "multi-mission/hls/Reflectance", "image": "", "settings": [ - "HLS_NDVI_Sentinel", "HLS_Customizable_Sentinel", + "HLS_NDVI_Sentinel", + "HLS_EVI_Sentinel", + "HLS_SAVI_Sentinel", + "HLS_MSAVI_Sentinel", + "HLS_NBR_Sentinel", + "HLS_NBR2_Sentinel", + "HLS_TVI_Sentinel", "HLS_MGRS_Granule_Grid", "OrbitTracks_Sentinel-2A_Descending", "OrbitTracks_Sentinel-2B_Descending" @@ -50,8 +56,14 @@ "description": "", "image": "", "settings": [ - "HLS_NDVI_Landsat", "HLS_Customizable_Landsat", + "HLS_NDVI_Landsat", + "HLS_EVI_Landsat", + "HLS_SAVI_Landsat", + "HLS_MSAVI_Landsat", + "HLS_NBR_Landsat", + "HLS_NBR2_Landsat", + "HLS_TVI_Landsat", "HLS_MGRS_Granule_Grid", "OrbitTracks_Landsat-8_Descending", "OrbitTracks_Landsat-9_Descending" diff --git a/tasks/build-options/getVisMetadata.js b/tasks/build-options/getVisMetadata.js index 7ba5ae4e8b..88f0da4b10 100644 --- a/tasks/build-options/getVisMetadata.js +++ b/tasks/build-options/getVisMetadata.js @@ -78,10 +78,22 @@ const skipLayers = [ 'HLS_NDWI_Landsat', 'HLS_NDSI_Landsat', 'HLS_Moisture_Index_Landsat', + 'HLS_EVI_Landsat', + 'HLS_SAVI_Landsat', + 'HLS_MSAVI_Landsat', + 'HLS_NBR2_Landsat', + 'HLS_NBR_Landsat', + 'HLS_TVI_Landsat', 'HLS_NDVI_Sentinel', 'HLS_NDWI_Sentinel', 'HLS_NDSI_Sentinel', 'HLS_Moisture_Index_Sentinel', + 'HLS_EVI_Sentinel', + 'HLS_SAVI_Sentinel', + 'HLS_MSAVI_Sentinel', + 'HLS_NBR2_Sentinel', + 'HLS_NBR_Sentinel', + 'HLS_TVI_Sentinel', 'HLS_False_Color_Landsat', 'AERONET_AOD_500NM', 'AERONET_ANGSTROM_440-870NM', diff --git a/web/images/layers/previews/geographic/HLS_Color_Infrared_Landsat.jpg 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458f599d23..a5f582899b 100644 --- a/package-lock.json +++ b/package-lock.json @@ -18,7 +18,7 @@ "@fortawesome/react-fontawesome": "^0.2.2", "@khanisak/temperature-converter": "^2.0.1", "@reduxjs/toolkit": "^2.2.7", - "axios": "^1.7.3", + "axios": "^1.7.4", "bluebird": "3.7.2", "bootstrap": "^5.3.3", "cachai": "^1.0.2", @@ -4692,9 +4692,10 @@ } }, "node_modules/axios": { - "version": "1.7.3", - "resolved": "https://registry.npmjs.org/axios/-/axios-1.7.3.tgz", - "integrity": "sha512-Ar7ND9pU99eJ9GpoGQKhKf58GpUOgnzuaB7ueNQ5BMi0p+LZ5oaEnfF999fAArcTIBwXTCHAmGcHOZJaWPq9Nw==", + "version": "1.7.4", + "resolved": "https://registry.npmjs.org/axios/-/axios-1.7.4.tgz", + "integrity": "sha512-DukmaFRnY6AzAALSH4J2M3k6PkaC+MfaAGdEERRWcC9q3/TWQwLpHR8ZRLKTdQ3aBDL64EdluRDjJqKw+BPZEw==", + "license": "MIT", "dependencies": { "follow-redirects": "^1.15.6", "form-data": "^4.0.0", diff --git a/package.json b/package.json index be96e39ac7..75b8a2242e 100644 --- a/package.json +++ b/package.json @@ -154,7 +154,7 @@ "@fortawesome/react-fontawesome": "^0.2.2", "@khanisak/temperature-converter": "^2.0.1", "@reduxjs/toolkit": "^2.2.7", - "axios": "^1.7.3", + "axios": "^1.7.4", "bluebird": "3.7.2", "bootstrap": "^5.3.3", "cachai": "^1.0.2", From 09c2f217fcf12a5faa1a79296c856aa887fc1766 Mon Sep 17 00:00:00 2001 From: Patrick Moulden <4834892+PatchesMaps@users.noreply.github.com> Date: Thu, 15 Aug 2024 10:49:54 -0400 Subject: [PATCH 10/14] Round Time for TEMPO granule requests (#5405) * chore: Refactor granuleLayerBuilder to use array of params for CMR request * refactor: set leadingEdgeDate to 59 seconds to make date handling more intuitive. --- web/js/map/granule/granule-layer-builder.js | 20 +++++++------ web/js/map/granule/util.js | 31 +++++++++++++++++---- 2 files changed, 37 insertions(+), 14 deletions(-) diff --git a/web/js/map/granule/granule-layer-builder.js b/web/js/map/granule/granule-layer-builder.js index 6ce11dc246..6a27dfbe83 100644 --- a/web/js/map/granule/granule-layer-builder.js +++ b/web/js/map/granule/granule-layer-builder.js @@ -64,6 +64,7 @@ export default function granuleLayerBuilder(cache, store, createLayerWMTS) { * Query CMR to get dates * @param {object} def - Layer specs * @param {object} selectedDate - current selected date (Note: may not return this date, but this date will be the max returned) + * @returns {array} granule dates */ const getQueriedGranuleDates = async (def, selectedDate) => { const { @@ -72,23 +73,23 @@ export default function granuleLayerBuilder(cache, store, createLayerWMTS) { const state = store.getState(); const { proj: { selected: { crs } } } = state; const getGranulesUrl = getGranulesUrlSelector(state); - const params = getParamsForGranuleRequest(def, selectedDate, crs); - const nrtParams = getParamsForGranuleRequest(def, selectedDate, crs, true); + const paramsArray = getParamsForGranuleRequest(def, selectedDate, crs); let data = []; let nrtData = []; try { showLoading(); - const requestUrl = getGranulesUrl(params); - const nrtRequestUrl = getGranulesUrl(nrtParams); - const requests = [fetch(requestUrl, CMR_AJAX_OPTIONS), fetch(nrtRequestUrl, CMR_AJAX_OPTIONS)]; - const responses = await Promise.allSettled(requests); + const promises = paramsArray.map((params) => { + const requestUrl = getGranulesUrl(params); + return fetch(requestUrl, CMR_AJAX_OPTIONS); + }); + const responses = await Promise.allSettled(promises); const fulfilledResponses = responses.filter(({ status }) => status === 'fulfilled').map(({ value }) => value); const [response, nrtResponse] = fulfilledResponses; - const jsonRequests = [response.json(), nrtResponse.json()]; + const jsonRequests = [response?.json(), nrtResponse?.json()]; const jsonResponses = await Promise.allSettled(jsonRequests); const [responseJson, nrtResponseJson] = jsonResponses.filter(({ status }) => status === 'fulfilled').map(({ value }) => value); - data = responseJson.feed.entry; - nrtData = nrtResponseJson.feed.entry; + data = responseJson?.feed?.entry || []; + nrtData = nrtResponseJson?.feed?.entry || []; } catch (e) { console.error(e); throttleDispathCMRErrorDialog(title); @@ -176,6 +177,7 @@ export default function granuleLayerBuilder(cache, store, createLayerWMTS) { const { date } = item; const dateDate = new Date(date); const leadingEdgeDateUTC = new Date(leadingEdgeDate.toUTCString()); + leadingEdgeDateUTC.setSeconds(59); const isWithinRange = isWithinRanges(leadingEdgeDateUTC, granuleDateRanges); if (dateDate <= leadingEdgeDateUTC && isWithinRange && isWithinBounds(crs, item)) { granules.unshift(item); diff --git a/web/js/map/granule/util.js b/web/js/map/granule/util.js index 1fb65a30d4..aa2ea59c16 100644 --- a/web/js/map/granule/util.js +++ b/web/js/map/granule/util.js @@ -161,9 +161,9 @@ export const getCMRQueryDates = (crs, selectedDate) => { * @param {*} def - layer definition * @param {*} date - "current" date from which to base the query * @param {*} crs - * @returns + * @returns {Array} - array of objects with parameters for CMR request */ -export const getParamsForGranuleRequest = (def, date, crs, nrt) => { +export const getParamsForGranuleRequest = (def, date, crs) => { const dayNightFilter = def.daynight[0]; const bboxForProj = { [CRS.WEB_MERCATOR]: [-180, -65, 180, 65], @@ -173,7 +173,7 @@ export const getParamsForGranuleRequest = (def, date, crs, nrt) => { }; const { startQueryDate, endQueryDate } = getCMRQueryDates(crs, date); - const getShortName = () => { + const getShortName = (nrt) => { try { const { shortName } = def.conceptIds[0]; if (nrt) return shortName; @@ -184,14 +184,35 @@ export const getParamsForGranuleRequest = (def, date, crs, nrt) => { } }; - return { + if (def.conceptIds[0].type === 'NRT') { + return [ + { + shortName: getShortName(false), + startDate: startQueryDate.toISOString(), + endDate: endQueryDate.toISOString(), + dayNight: dayNightFilter, + bbox: bboxForProj[crs], + pageSize: 500, + }, + { + shortName: getShortName(true), + startDate: startQueryDate.toISOString(), + endDate: endQueryDate.toISOString(), + dayNight: dayNightFilter, + bbox: bboxForProj[crs], + pageSize: 500, + }, + ]; + } + + return [{ shortName: getShortName(), startDate: startQueryDate.toISOString(), endDate: endQueryDate.toISOString(), dayNight: dayNightFilter, bbox: bboxForProj[crs], pageSize: 500, - }; + }]; }; /** From 0d5512cd608fc20dc4d42aaa647ae26c7296b480 Mon Sep 17 00:00:00 2001 From: christof-wittreich Date: Fri, 16 Aug 2024 11:51:21 -0400 Subject: [PATCH 11/14] Removed removal of layers (#5410) --- web/js/modules/layers/selectors.js | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/web/js/modules/layers/selectors.js b/web/js/modules/layers/selectors.js index 47a2d67c57..ab3e9b4304 100644 --- a/web/js/modules/layers/selectors.js +++ b/web/js/modules/layers/selectors.js @@ -22,10 +22,7 @@ const getConfig = ({ config }) => config; const getLayerId = (state, { layer }) => layer && layer.id; export function addLayer(id, spec = {}, layersParam, layerConfig, overlayLength, projection, groupOverlays, bandComboParam, selectedPresetParam) { - let layers = lodashCloneDeep(layersParam); - if (projection) { - layers = layers.filter((layer) => layer.projections[projection]); - } + const layers = lodashCloneDeep(layersParam); if (lodashFind(layers, { id })) { return layers; } From 4457fd4764c4867bf4cf98fe1c8c10d707c10c70 Mon Sep 17 00:00:00 2001 From: minniewong Date: Fri, 16 Aug 2024 14:17:37 -0400 Subject: [PATCH 12/14] Update README.md (#5415) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 50555708ac..13ee72a51e 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ [![Worldview Screenshot](/web/images/readme-preview.jpg)](https://worldview.earthdata.nasa.gov) -[![Build Status]([![CI-CD](https://github.com/nasa-gibs/worldview/actions/workflows/ci-cd.yml/badge.svg)](https://github.com/nasa-gibs/worldview/actions/workflows/ci-cd.yml)) +[![CI-CD](https://github.com/nasa-gibs/worldview/actions/workflows/ci-cd.yml/badge.svg)](https://github.com/nasa-gibs/worldview/actions/workflows/ci-cd.yml) Interactive interface for browsing full-resolution, global satellite imagery. From 6326a746eb17c5de183d219fe9e3f848746ff154 Mon Sep 17 00:00:00 2001 From: Patrick Moulden <4834892+PatchesMaps@users.noreply.github.com> Date: Fri, 16 Aug 2024 16:49:26 -0400 Subject: [PATCH 13/14] chore: Update npm dependencies to latest versions (#5416) --- package-lock.json | 378 ++++++++++++++++++++++++++++------------------ package.json | 8 +- 2 files changed, 236 insertions(+), 150 deletions(-) diff --git a/package-lock.json b/package-lock.json index a5f582899b..c4c02d4fa1 100644 --- a/package-lock.json +++ b/package-lock.json @@ -42,9 +42,9 @@ "moment-locales-webpack-plugin": "^1.2.0", "node-dir": "^0.1.17", "ol": "^8.2.0", - "ol-mapbox-style": "^12.3.4", + "ol-mapbox-style": "^12.3.5", "p-queue": "^8.0.1", - "proj4": "^2.11.0", + "proj4": "^2.12.0", "prop-types": "^15.8.1", "qs": "^6.13.0", "react": "^18.3.1", @@ -90,13 +90,13 @@ "ajv": "^8.17.1", "autoprefixer": "^10.4.20", "babel-loader": "^9.1.3", - "cheerio": "^1.0.0-rc.12", + "cheerio": "^1.0.0", "clean-webpack-plugin": "^4.0.0", "cross-env": "^7.0.3", "css-loader": "^7.1.2", "css-minimizer-webpack-plugin": "^7.0.0", "css-url-relative-plugin": "^1.1.0", - "cssnano": "^7.0.4", + "cssnano": "^7.0.5", "eslint": "^8.57.0", "eslint-config-airbnb": "^19.0.4", "eslint-config-standard": "^17.1.0", @@ -3460,8 +3460,9 @@ }, "node_modules/@trysound/sax": { "version": "0.2.0", + "resolved": "https://registry.npmjs.org/@trysound/sax/-/sax-0.2.0.tgz", + "integrity": "sha512-L7z9BgrNEcYyUYtF+HaEfiS5ebkh9jXqbszz7pC0hRBPaatV0XjSD3+eHrpqFemQfgwiFF0QPIarnIihIDn7OA==", "dev": true, - "license": "ISC", "engines": { "node": ">=10.13.0" } @@ -3693,17 +3694,6 @@ "parse5": "^7.0.0" } }, - "node_modules/@types/jsdom/node_modules/parse5": { - "version": "7.1.2", - "dev": true, - "license": "MIT", - "dependencies": { - "entities": "^4.4.0" - }, - "funding": { - "url": "https://github.com/inikulin/parse5?sponsor=1" - } - }, "node_modules/@types/json-schema": { "version": "7.0.15", "license": "MIT" @@ -5336,8 +5326,9 @@ }, "node_modules/caniuse-api": { "version": "3.0.0", + "resolved": "https://registry.npmjs.org/caniuse-api/-/caniuse-api-3.0.0.tgz", + "integrity": "sha512-bsTwuIg/BZZK/vreVTYYbSWoe2F+71P7K5QGEX+pT250DZbfU1MQ5prOKpPR+LL6uWKK3KMwMCAS74QB3Um1uw==", "dev": true, - "license": "MIT", "dependencies": { "browserslist": "^4.0.0", "caniuse-lite": "^1.0.0", @@ -5386,20 +5377,25 @@ } }, "node_modules/cheerio": { - "version": "1.0.0-rc.12", + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/cheerio/-/cheerio-1.0.0.tgz", + "integrity": "sha512-quS9HgjQpdaXOvsZz82Oz7uxtXiy6UIsIQcpBj7HRw2M63Skasm9qlDocAM7jNuaxdhpPU7c4kJN+gA5MCu4ww==", "dev": true, - "license": "MIT", "dependencies": { "cheerio-select": "^2.1.0", "dom-serializer": "^2.0.0", "domhandler": "^5.0.3", - "domutils": "^3.0.1", - "htmlparser2": "^8.0.1", - "parse5": "^7.0.0", - "parse5-htmlparser2-tree-adapter": "^7.0.0" + "domutils": "^3.1.0", + "encoding-sniffer": "^0.2.0", + "htmlparser2": "^9.1.0", + "parse5": "^7.1.2", + "parse5-htmlparser2-tree-adapter": "^7.0.0", + "parse5-parser-stream": "^7.1.2", + "undici": "^6.19.5", + "whatwg-mimetype": "^4.0.0" }, "engines": { - "node": ">= 6" + "node": ">=18.17" }, "funding": { "url": "https://github.com/cheeriojs/cheerio?sponsor=1" @@ -5421,15 +5417,13 @@ "url": "https://github.com/sponsors/fb55" } }, - 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"version": "6.1.0", + "version": "6.1.2", + "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.1.2.tgz", + "integrity": "sha512-Q8qQfPiZ+THO/3ZrOrO0cJJKfpYCagtMUkXbnEfmgUjwXg6z/WBeOyS9APBBPCTSiDV+s4SwQGu8yFsiMRIudg==", "dev": true, - "license": "MIT", "dependencies": { "cssesc": "^3.0.0", "util-deprecate": "^1.0.2" @@ -14350,8 +14422,9 @@ }, "node_modules/postcss-svgo": { "version": "7.0.1", + "resolved": "https://registry.npmjs.org/postcss-svgo/-/postcss-svgo-7.0.1.tgz", + "integrity": "sha512-0WBUlSL4lhD9rA5k1e5D8EN5wCEyZD6HJk0jIvRxl+FDVOMlJ7DePHYWGGVc5QRqrJ3/06FTXM0bxjmJpmTPSA==", "dev": true, - "license": "MIT", "dependencies": { "postcss-value-parser": "^4.2.0", "svgo": "^3.3.2" @@ -14364,11 +14437,12 @@ } }, "node_modules/postcss-unique-selectors": { - "version": "7.0.1", + "version": "7.0.2", + "resolved": "https://registry.npmjs.org/postcss-unique-selectors/-/postcss-unique-selectors-7.0.2.tgz", + "integrity": "sha512-CjSam+7Vf8cflJQsHrMS0P2hmy9u0+n/P001kb5eAszLmhjMqrt/i5AqQuNFihhViwDvEAezqTmXqaYXL2ugMw==", "dev": true, - "license": "MIT", "dependencies": { - "postcss-selector-parser": "^6.1.0" + "postcss-selector-parser": "^6.1.1" }, "engines": { "node": "^18.12.0 || ^20.9.0 || >=22.0" @@ -14424,8 +14498,9 @@ "license": "MIT" }, "node_modules/proj4": { - "version": "2.11.0", - "license": "MIT", + "version": "2.12.0", + "resolved": "https://registry.npmjs.org/proj4/-/proj4-2.12.0.tgz", + "integrity": "sha512-cQJxcVX7+fmAhOxoazKgk76GkGYQ5HcLod4rdy2MizhPvLdrZQJThxsHoz/TjjdxUvTm/rbozMgE0q9mdXKWIw==", "dependencies": { "mgrs": "1.0.0", "wkt-parser": "^1.3.3" @@ -16667,12 +16742,13 @@ "license": "ISC" }, "node_modules/stylehacks": { - "version": "7.0.2", + "version": "7.0.3", + "resolved": "https://registry.npmjs.org/stylehacks/-/stylehacks-7.0.3.tgz", + "integrity": "sha512-4DqtecvI/Nd+2BCvW9YEF6lhBN5UM50IJ1R3rnEAhBwbCKf4VehRf+uqvnVArnBayjYD/WtT3g0G/HSRxWfTRg==", "dev": true, - "license": "MIT", "dependencies": { - "browserslist": "^4.23.1", - "postcss-selector-parser": "^6.1.0" + "browserslist": "^4.23.3", + "postcss-selector-parser": "^6.1.1" }, "engines": { "node": "^18.12.0 || ^20.9.0 || >=22.0" @@ -16946,8 +17022,9 @@ }, "node_modules/svgo": { "version": "3.3.2", + "resolved": "https://registry.npmjs.org/svgo/-/svgo-3.3.2.tgz", + "integrity": "sha512-OoohrmuUlBs8B8o6MB2Aevn+pRIH9zDALSR+6hhqVfa6fRwG/Qw9VUMSMW9VNg2CFc/MTIfabtdOVl9ODIJjpw==", "dev": true, - "license": "MIT", "dependencies": { "@trysound/sax": "0.2.0", "commander": "^7.2.0", @@ -17460,6 +17537,15 @@ "url": "https://github.com/sponsors/ljharb" } }, + "node_modules/undici": { + "version": "6.19.7", + "resolved": "https://registry.npmjs.org/undici/-/undici-6.19.7.tgz", + "integrity": "sha512-HR3W/bMGPSr90i8AAp2C4DM3wChFdJPLrWYpIS++LxS8K+W535qftjt+4MyjNYHeWabMj1nvtmLIi7l++iq91A==", + "dev": true, + "engines": { + "node": ">=18.17" + } + }, "node_modules/unicode-canonical-property-names-ecmascript": { "version": "2.0.0", "dev": true, diff --git a/package.json b/package.json index 75b8a2242e..70894381e4 100644 --- a/package.json +++ b/package.json @@ -89,13 +89,13 @@ "ajv": "^8.17.1", "autoprefixer": "^10.4.20", "babel-loader": "^9.1.3", - "cheerio": "^1.0.0-rc.12", + "cheerio": "^1.0.0", "clean-webpack-plugin": "^4.0.0", "cross-env": "^7.0.3", "css-loader": "^7.1.2", "css-minimizer-webpack-plugin": "^7.0.0", "css-url-relative-plugin": "^1.1.0", - "cssnano": "^7.0.4", + "cssnano": "^7.0.5", "eslint": "^8.57.0", "eslint-config-airbnb": "^19.0.4", "eslint-config-standard": "^17.1.0", @@ -178,9 +178,9 @@ "moment-locales-webpack-plugin": "^1.2.0", "node-dir": "^0.1.17", "ol": "^8.2.0", - "ol-mapbox-style": "^12.3.4", + "ol-mapbox-style": "^12.3.5", "p-queue": "^8.0.1", - "proj4": "^2.11.0", + "proj4": "^2.12.0", "prop-types": "^15.8.1", "qs": "^6.13.0", "react": "^18.3.1", From f98461c35aafddee4d40113c93a0ffe52cc88781 Mon Sep 17 00:00:00 2001 From: PatchesMaps Date: Thu, 22 Aug 2024 10:51:20 -0400 Subject: [PATCH 14/14] v4.46.0 --- package-lock.json | 33 +++++++++++++++++++++------------ package.json | 2 +- 2 files changed, 22 insertions(+), 13 deletions(-) diff --git a/package-lock.json b/package-lock.json index c4c02d4fa1..a7e2814d0b 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,12 +1,12 @@ { "name": "worldview", - "version": "4.45.0", + "version": "4.46.0", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "worldview", - "version": "4.45.0", + "version": "4.46.0", "hasInstallScript": true, "license": "NASA-1.3", "dependencies": { @@ -4738,8 +4738,9 @@ }, "node_modules/babel-jest": { "version": "29.7.0", + "resolved": "https://registry.npmjs.org/babel-jest/-/babel-jest-29.7.0.tgz", + "integrity": "sha512-BrvGY3xZSwEcCzKvKsCi2GgHqDqsYkOP4/by5xCgIwGXQxIEh+8ew3gmrE1y7XRR6LHZIj6yLYnUi/mm2KXKBg==", "dev": true, - "license": "MIT", "dependencies": { "@jest/transform": "^29.7.0", "@types/babel__core": "^7.1.14", @@ -7013,7 +7014,8 @@ }, "node_modules/earcut": { "version": "2.2.4", - "license": "ISC" + "resolved": "https://registry.npmjs.org/earcut/-/earcut-2.2.4.tgz", + "integrity": "sha512-/pjZsA1b4RPHbeWZQn66SWS8nZZWLQQ23oE3Eam7aroEFGEvwKAsJfZ9ytiEMycfzXWpca4FA9QIOehf7PocBQ==" }, "node_modules/eastasianwidth": { "version": "0.2.0", @@ -9518,6 +9520,8 @@ }, "node_modules/ieee754": { "version": "1.2.1", + "resolved": "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz", + "integrity": "sha512-dcyqhDvX1C46lXZcVqCpK+FtMRQVdIMN6/Df5js2zouUsqG7I6sFxitIC+7KYK29KdXOLHdu9zL4sFnoVQnqaA==", "funding": [ { "type": "github", @@ -9531,8 +9535,7 @@ "type": "consulting", "url": "https://feross.org/support" } - ], - "license": "BSD-3-Clause" + ] }, "node_modules/ignore": { "version": "5.2.4", @@ -13136,7 +13139,8 @@ }, "node_modules/ol": { "version": "8.2.0", - "license": "BSD-2-Clause", + "resolved": "https://registry.npmjs.org/ol/-/ol-8.2.0.tgz", + "integrity": "sha512-/m1ddd7Jsp4Kbg+l7+ozR5aKHAZNQOBAoNZ5pM9Jvh4Etkf0WGkXr9qXd7PnhmwiC1Hnc2Toz9XjCzBBvexfXw==", "dependencies": { "color-rgba": "^3.0.0", "color-space": "^2.0.1", @@ -13644,7 +13648,8 @@ }, "node_modules/pbf": { "version": "3.2.1", - "license": "BSD-3-Clause", + "resolved": "https://registry.npmjs.org/pbf/-/pbf-3.2.1.tgz", + "integrity": "sha512-ClrV7pNOn7rtmoQVF4TS1vyU0WhYRnP92fzbfF75jAIwpnzdJXf8iTd4CMEqO4yUenH6NDqLiwjqlh6QgZzgLQ==", "dependencies": { "ieee754": "^1.1.12", "resolve-protobuf-schema": "^2.1.0" @@ -14529,7 +14534,8 @@ }, "node_modules/protocol-buffers-schema": { "version": "3.6.0", - "license": "MIT" + "resolved": "https://registry.npmjs.org/protocol-buffers-schema/-/protocol-buffers-schema-3.6.0.tgz", + "integrity": "sha512-TdDRD+/QNdrCGCE7v8340QyuXd4kIWIgapsE2+n/SaGiSSbomYl4TjHlvIoCWRpE7wFt02EpB35VVA2ImcBVqw==" }, "node_modules/proxy-addr": { "version": "2.0.7", @@ -14629,7 +14635,8 @@ }, "node_modules/quickselect": { "version": "2.0.0", - "license": "ISC" + "resolved": "https://registry.npmjs.org/quickselect/-/quickselect-2.0.0.tgz", + "integrity": "sha512-RKJ22hX8mHe3Y6wH/N3wCM6BWtjaxIyyUIkpHOvfFnxdI4yD4tBXEBKSbriGujF6jnSVkJrffuo6vxACiSSxIw==" }, "node_modules/quill-delta": { "version": "5.1.0", @@ -14688,7 +14695,8 @@ }, "node_modules/rbush": { "version": "3.0.1", - "license": "MIT", + "resolved": "https://registry.npmjs.org/rbush/-/rbush-3.0.1.tgz", + "integrity": "sha512-XRaVO0YecOpEuIvbhbpTrZgoiI6xBlz6hnlr6EHhd+0x9ase6EmeN+hdwwUaJvLcsFFQ8iWVF1GAK1yB0BWi0w==", "dependencies": { "quickselect": "^2.0.0" } @@ -15559,7 +15567,8 @@ }, "node_modules/resolve-protobuf-schema": { "version": "2.1.0", - "license": "MIT", + "resolved": "https://registry.npmjs.org/resolve-protobuf-schema/-/resolve-protobuf-schema-2.1.0.tgz", + "integrity": "sha512-kI5ffTiZWmJaS/huM8wZfEMer1eRd7oJQhDuxeCLe3t7N7mX3z94CN0xPxBQxFYQTSNz9T0i+v6inKqSdK8xrQ==", "dependencies": { "protocol-buffers-schema": "^3.3.1" } diff --git a/package.json b/package.json index 70894381e4..e7c117d12a 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "worldview", - "version": "4.45.0", + "version": "4.46.0", "description": "Interactive interface for browsing full-resolution, global satellite imagery", "keywords": [ "NASA",

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