diff --git a/docs/notebooks/Case_study_intertidal.ipynb b/docs/notebooks/Case_study_intertidal.ipynb index 4ddfcbf..148caa0 100644 --- a/docs/notebooks/Case_study_intertidal.ipynb +++ b/docs/notebooks/Case_study_intertidal.ipynb @@ -65,17 +65,17 @@ "name": "stdout", "output_type": "stream", "text": [ - " Size: 242MB\n", - "Dimensions: (y: 712, x: 659, time: 43)\n", + " Size: 253MB\n", + "Dimensions: (y: 712, x: 659, time: 45)\n", "Coordinates:\n", " * y (y) float64 6kB 8.017e+06 8.017e+06 ... 7.982e+06 7.982e+06\n", " * x (x) float64 5kB 4.068e+05 4.069e+05 ... 4.397e+05 4.397e+05\n", " spatial_ref int32 4B 32751\n", - " * time (time) datetime64[ns] 344B 2024-01-07T01:55:31.679580 ... 20...\n", + " * time (time) datetime64[ns] 360B 2024-01-07T01:55:31.679580 ... 20...\n", "Data variables:\n", - " nbart_green (time, y, x) float32 81MB dask.array\n", - " nbart_nir (time, y, x) float32 81MB dask.array\n", - " ndwi (time, y, x) float32 81MB dask.array\n" + " nbart_green (time, y, x) float32 84MB dask.array\n", + " nbart_nir (time, y, x) float32 84MB dask.array\n", + " ndwi (time, y, x) float32 84MB dask.array\n" ] } ], @@ -101,7 +101,7 @@ "source": [ "from eo_tides.eo import tag_tides\n", "\n", - "ds = tag_tides(\n", + "ds[\"tide_height\"] = tag_tides(\n", " ds=ds,\n", " model=\"EOT20\",\n", " directory=\"../../tests/data/tide_models\"\n", @@ -133,7 +133,6 @@ " * x (x) float64 5kB 4.068e+05 4.069e+05 ... 4.397e+05 4.397e+05\n", " spatial_ref int32 4B 32751\n", " * time (time) datetime64[ns] 72B 2024-05-31T01:48:09.436496 ... 202...\n", - " tide_model " ], "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -351,7 +349,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_2031720304867482ddeb4301e3918ec4 {\n", + " #map_281d877587221196db4f7dd6144cf14a {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -378,14 +376,14 @@ "<body>\n", " \n", " \n", - " <div class="folium-map" id="map_2031720304867482ddeb4301e3918ec4" ></div>\n", + " <div class="folium-map" id="map_281d877587221196db4f7dd6144cf14a" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_2031720304867482ddeb4301e3918ec4 = L.map(\n", - " "map_2031720304867482ddeb4301e3918ec4",\n", + " var map_281d877587221196db4f7dd6144cf14a = L.map(\n", + " "map_281d877587221196db4f7dd6144cf14a",\n", " {\n", " center: [0.0, 0.0],\n", " crs: L.CRS.EPSG3857,\n", @@ -399,51 +397,51 @@ "\n", " \n", " \n", - " var tile_layer_c2d79a0bb379ddd656399138536dc9b9 = L.tileLayer(\n", + " var tile_layer_b9492c05777017927cfe6d99b512c704 = L.tileLayer(\n", " "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", 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TkSuQmCC ",\n", " [[-17.92813466526891, 122.11796413846858], [-18.252193254797525, 122.43192533026834]],\n", " {}\n", " );\n", " \n", " \n", - " image_overlay_375746020ce65a8cddf44998d3d0dd5b.addTo(map_2031720304867482ddeb4301e3918ec4);\n", + " image_overlay_a06a9137ad5b33d6f1d19f2aafcc427f.addTo(map_281d877587221196db4f7dd6144cf14a);\n", " \n", " \n", - " map_2031720304867482ddeb4301e3918ec4.fitBounds(\n", + " map_281d877587221196db4f7dd6144cf14a.fitBounds(\n", " [[-17.928541358818464, 122.11999572144752], [-18.251457152765816, 122.43006048571965]],\n", " {}\n", " );\n", " \n", " \n", - " var layer_control_303af2064fe6d51b7b0ce2885df57838_layers = {\n", + " var layer_control_5b940548cf232770bf3e04a003872afc_layers = {\n", " base_layers : {\n", - " "openstreetmap" : tile_layer_c2d79a0bb379ddd656399138536dc9b9,\n", + " "openstreetmap" : tile_layer_b9492c05777017927cfe6d99b512c704,\n", " },\n", " overlays : {\n", - " "ndwi" : image_overlay_375746020ce65a8cddf44998d3d0dd5b,\n", + " "ndwi" : image_overlay_a06a9137ad5b33d6f1d19f2aafcc427f,\n", " },\n", " };\n", - " let layer_control_303af2064fe6d51b7b0ce2885df57838 = L.control.layers(\n", - " layer_control_303af2064fe6d51b7b0ce2885df57838_layers.base_layers,\n", - " layer_control_303af2064fe6d51b7b0ce2885df57838_layers.overlays,\n", + " let layer_control_5b940548cf232770bf3e04a003872afc = L.control.layers(\n", + " layer_control_5b940548cf232770bf3e04a003872afc_layers.base_layers,\n", + " layer_control_5b940548cf232770bf3e04a003872afc_layers.overlays,\n", " {"autoZIndex": true, "collapsed": true, "position": "topright"}\n", - " ).addTo(map_2031720304867482ddeb4301e3918ec4);\n", + " ).addTo(map_281d877587221196db4f7dd6144cf14a);\n", "\n", " \n", "</script>\n", "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -529,7 +527,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_56aa71baee009a27edaa0b7785bcfa41 {\n", + " #map_5f588836205ecfd1eb3e3f78882cda48 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -556,14 +554,14 @@ "<body>\n", " \n", " \n", - " <div class="folium-map" id="map_56aa71baee009a27edaa0b7785bcfa41" ></div>\n", + " <div class="folium-map" id="map_5f588836205ecfd1eb3e3f78882cda48" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_56aa71baee009a27edaa0b7785bcfa41 = L.map(\n", - " "map_56aa71baee009a27edaa0b7785bcfa41",\n", + " var map_5f588836205ecfd1eb3e3f78882cda48 = L.map(\n", + " "map_5f588836205ecfd1eb3e3f78882cda48",\n", " {\n", " center: [0.0, 0.0],\n", " crs: L.CRS.EPSG3857,\n", @@ -577,51 +575,51 @@ "\n", " \n", " \n", - " var tile_layer_ab2ad1a40fa3aff88bb8913a49ca3ede = L.tileLayer(\n", + " var tile_layer_d0e216e489d166fe2fee10a2b6cd58c4 = L.tileLayer(\n", " "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", " );\n", " \n", " \n", - " tile_layer_ab2ad1a40fa3aff88bb8913a49ca3ede.addTo(map_56aa71baee009a27edaa0b7785bcfa41);\n", + " tile_layer_d0e216e489d166fe2fee10a2b6cd58c4.addTo(map_5f588836205ecfd1eb3e3f78882cda48);\n", " \n", " \n", - " var image_overlay_3a488174051b7cdc1a3b9d7b4150dc57 = L.imageOverlay(\n", + " var image_overlay_d69796730f107533a44115b4896d54ed = L.imageOverlay(\n", " "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAArsAAAL3CAYAAACK+Y2VAAAgAElEQVR4nO3d7XHjuLIGYPnWicJR OIipcgKTrLNwFE5j7o97uYfD5QdIAmADeJ6qrZ0ZyxJFSdSrVrPx9uvt958XAAB06H+e3gAAACjl P09vAET29fP9198/3z8e2hIA4AqVXaB5yw8lADARdoGmff18q7gDsEnYBQCgW8Iu0DRVXQD2CLsA 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122.11796413846858], [-18.252193254797525, 122.43192533026834]],\n", " {}\n", " );\n", " \n", " \n", - " image_overlay_3a488174051b7cdc1a3b9d7b4150dc57.addTo(map_56aa71baee009a27edaa0b7785bcfa41);\n", + " image_overlay_d69796730f107533a44115b4896d54ed.addTo(map_5f588836205ecfd1eb3e3f78882cda48);\n", " \n", " \n", - " map_56aa71baee009a27edaa0b7785bcfa41.fitBounds(\n", + " map_5f588836205ecfd1eb3e3f78882cda48.fitBounds(\n", " [[-17.928541358818464, 122.11999572144752], [-18.251457152765816, 122.43006048571965]],\n", " {}\n", " );\n", " \n", " \n", - " var layer_control_c45fe7196989c3ff5124772b9bf11e51_layers = {\n", + " var layer_control_e23ce13953b96bf761643ae936635317_layers = {\n", " base_layers : {\n", - " "openstreetmap" : tile_layer_ab2ad1a40fa3aff88bb8913a49ca3ede,\n", + " "openstreetmap" : tile_layer_d0e216e489d166fe2fee10a2b6cd58c4,\n", " },\n", " overlays : {\n", - " "ndwi" : image_overlay_3a488174051b7cdc1a3b9d7b4150dc57,\n", + " "ndwi" : image_overlay_d69796730f107533a44115b4896d54ed,\n", " },\n", " };\n", - " let layer_control_c45fe7196989c3ff5124772b9bf11e51 = L.control.layers(\n", - " layer_control_c45fe7196989c3ff5124772b9bf11e51_layers.base_layers,\n", - " layer_control_c45fe7196989c3ff5124772b9bf11e51_layers.overlays,\n", + " let layer_control_e23ce13953b96bf761643ae936635317 = L.control.layers(\n", + " layer_control_e23ce13953b96bf761643ae936635317_layers.base_layers,\n", + " layer_control_e23ce13953b96bf761643ae936635317_layers.overlays,\n", " {"autoZIndex": true, "collapsed": true, "position": "topright"}\n", - " ).addTo(map_56aa71baee009a27edaa0b7785bcfa41);\n", + " ).addTo(map_5f588836205ecfd1eb3e3f78882cda48);\n", "\n", " \n", "</script>\n", "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -633,13 +631,6 @@ "intertidal = ~(ndwi_lowtide_median > 0.0) & (ndwi_hightide_median > 0.0)\n", "intertidal.odc.explore()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { @@ -658,7 +649,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.1" + "version": "3.12.0" } }, "nbformat": 4, diff --git a/docs/notebooks/Tide_statistics.ipynb b/docs/notebooks/Tide_statistics.ipynb index 2d163cd..4d1b3cd 100644 --- a/docs/notebooks/Tide_statistics.ipynb +++ b/docs/notebooks/Tide_statistics.ipynb @@ -344,7 +344,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Calculate biases for multiple satellite sensors" + "## Calculate biases for multiple satellite sensors\n", + "At our location, Sentinel-2 optical satellites are biased towards high tide observations, while Sentinel-1 radar satellites are biased towards low tide observations. \n", + "Could combining data from multiple EO sensors help us capture a more complete view of tides at this location?\n", + "\n", + "To test this theory, we can combine Sentinel-2 and Sentinel-1 data into a single `xarray.Dataset`, recording the name of each sensor using a new `satellite_name` coordinate in our data:" ] }, { @@ -379,7 +383,16 @@ "\n", "# Combine both Sentinel-1 and Sentinel-2 data into a single dataset\n", "ds_all = xr.concat([ds_s1, ds_s2], dim=\"time\")\n", - "print(ds_all)\n" + "print(ds_all)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can now run `tide_stats` again.\n", + "This time, we pass our satellite name coordinate to the function using the `plot_col=\"satellite_name\"` parameter.\n", + "This will plot data from each of our satellites using a different symbol." ] }, { @@ -429,6 +442,27 @@ " directory=\"../../tests/data/tide_models\",\n", ")\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can see that at this location, combining Sentinel-2 and Sentinel-1 data greatly improves our biases: our satellite data now covers ~85% of the modelled astronomical tide range, and only fails to observe 10% of the highest tides and 6% of the lowest tides!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Next steps\n", + "\n", + "We have explored calculating tide statistics and biases in EO data. Now we can learn how to validate modelled tides against [measured tide gauge data](../Validating_tides) to ensure the tides we are modelling are accurate." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] } ], "metadata": { @@ -447,7 +481,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.0" + "version": "3.12.1" } }, "nbformat": 4, diff --git a/docs/notebooks/Validating_tides.ipynb b/docs/notebooks/Validating_tides.ipynb index 59c3d49..79582cf 100644 --- a/docs/notebooks/Validating_tides.ipynb +++ b/docs/notebooks/Validating_tides.ipynb @@ -141,9 +141,6 @@ "name": "stderr", "output_type": "stream", "text": [ - "/workspaces/eo-tides/.venv/lib/python3.12/site-packages/geopandas/array.py:403: UserWarning: Geometry is in a geographic CRS. Results from 'sjoin_nearest' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", - "\n", - " warnings.warn(\n", "/workspaces/eo-tides/eo_tides/validation.py:157: FutureWarning: Support for nested sequences for 'parse_dates' in pd.read_csv is deprecated. Combine the desired columns with pd.to_datetime after parsing instead.\n", " pd.read_csv(\n" ] @@ -194,19 +191,11 @@ "joined_df.plot.scatter(x=\"sea_level\", y=\"tide_height\")\n", "eval_metrics(x=joined_df.sea_level, y=joined_df.tide_height)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9427ee6f-0db7-47a5-86e1-1617f9372c6c", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -220,7 +209,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.1" + "version": "3.12.0" } }, "nbformat": 4, diff --git a/eo_tides/validation.py b/eo_tides/validation.py index a4354b4..3343e45 100644 --- a/eo_tides/validation.py +++ b/eo_tides/validation.py @@ -267,7 +267,9 @@ def load_gauge_gesla( # If x and y are single numbers, select nearest row elif isinstance(x, Number) & isinstance(y, Number): - site_code = _nearest_row(metadata_gdf, x, y, max_distance).site_code + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + site_code = _nearest_row(metadata_gdf, x, y, max_distance).site_code # Raise exception if no valid tide gauges are found if site_code.isnull().all():