From abcef196a9a499a388fd4122d30190c615b0f428 Mon Sep 17 00:00:00 2001 From: Andrew Blackford <62357205+acblackford@users.noreply.github.com> Date: Wed, 13 Nov 2024 09:14:54 -0600 Subject: [PATCH 1/7] added nlcd datasets and updated stories to this dataset --- datasets/aerosol-difference.data.mdx | 4 +- datasets/nlcd-cover.png | Bin 0 -> 168644 bytes datasets/nlcd-urbanization.data.mdx | 97 -------- datasets/nlcd.data.mdx | 288 ++++++++++++++++++++++++ stories/camp-fire-burn-scar.stories.mdx | 4 +- stories/houston-aod.stories.mdx | 2 +- stories/urban-heating.stories.mdx | 4 +- 7 files changed, 295 insertions(+), 104 deletions(-) create mode 100644 datasets/nlcd-cover.png delete mode 100644 datasets/nlcd-urbanization.data.mdx create mode 100644 datasets/nlcd.data.mdx diff --git a/datasets/aerosol-difference.data.mdx b/datasets/aerosol-difference.data.mdx index 3924be981..b4fa8ff79 100644 --- a/datasets/aerosol-difference.data.mdx +++ b/datasets/aerosol-difference.data.mdx @@ -35,8 +35,8 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zg@2_RqQazUGaqQ~dJKlW$n%fdonJ;5T~WQ8#5V{^){w9L)A|}tEe%OA`W$U&+}eVN zx=lfoFz_?`iUw(0$p;(9<;@fp36ko62b@$~P}JG5N><-8KSPmAVE385D;tWy`U)wa z;efQEXC+4;Q;L4^7z2qORi#7N^F<-1(29Iup~Ucef-(&)zCh*XN659?WCBu>%Dvh+ z{f`xFXE>Eg5Rnrm%^|F*mlE=SyZBZ5Rng7nQ!FpQk8!tJUe{2hE7?O8d}Nr4X5 z2cb;?Vvc{AC+k2MNB59N(9!`4v)yMuIxKW%*8l_%bN>K7lzx#5IYo{ZJMl#oCQ_dTcq6jQi>;?|MdBmV#z06?v( z$XDgt`ceURxC?BAzXA;QEg1I>@f>beC z=Nc}AtgcQ=M3Q+wD#em0)fW1Z#9&}3y9Q##mB58^<^ZhebGH5)l zLj(`VRA~>93UWZtYH5k1S=cxMUs{?V!~hZHH8ezd9STl4&(?;R(cQ6z8BkQC2(h1xssb zC2I=w7~-mGR#_JsG==3{vBuIKvHM%dX($8*Irt(Dk0&MM@ngJJH# z&oyjWMntOEX>nMsapcD*M)2pjAdh2KqNm8A!SkyTOAEyw)L0-(vxcH%aOT^UUw`RF>!&vtirj%G*ffrW+%dwD8x=sxb8V%;u-J_gkD^I7rCykGK z90`ml0u*`qRCcmSo413_L}2d)IZwZS)X)RHTf67vX^PECP*LD>^QMrEWUIDnNeQtE z!iL3wpnViFD5NdJH?8qjGL)8&x(^?vSftm9TZCB6+jGsG$tiI@xHvz(Sh8PIw~S_R zR6x&u)ilbQqdru|8*aG5!EMDLkM5jQTvv$Hn&`)gx=2X=DiG-RP{IAG4;t_+Szn0h z7f6mH3l6lb_xwZsYPSZ9R!F`Ffdxt2+OiKL{!K)fIZ*D9NcQ4^7#&xlj(w^$J2QDb z#(!!oVJM@FB&7PB=A&bv!C!3d`q5x0SnN~!8Y~PON{C91esruTRiqAfWk2UM9nkuKWr>7R8nMR5tri0hK8mf=97A#Q+#4#XM;2ysaS zAw*yP zQxu#j+$fLR{HinLYoN(l%~pUkQjsJ%MO49#5KnAU5M>!g@0|!J(yzzGSrROL3;p8r z?N#dk03xq5PLuPqdd}X-tk}&GVh0K1pQUthGc3o99jXCC@-@-M&VEEcYZ>qPR=6`P zkmF)Ua((!#QCW&e#y~XD7Hd*QagJ%x8#JsD+lrDP*{^O-VVaQ}3=TO0l?)T*J%uq@ zwX#%30nIS?4^RjgE)nv@H9+@xj+q2`ik11C)ryMUj*`5mwokrlZ3#0s1e}4*L6cTu zmP&KLs9G$hYEp^Gq|ohvrwHHz56IM$q7nneS8`9aO3@l%sbKaX(P@P=X;P1>sAx%z z)~;%{Nfq5ra~*&Oss8{f=5~knolehxn5!qfa^!Rk&4Ze%Lqn8jimi-vihvFfd7w<# zqs2)fFah&b(L_V}aaz|xx5$BBYO=^jWqizq+HDYCLJ2NJyWo8mU??sVl k0!>VXFiQSZ5nz%}VNS@k - - - ### About - - The National Land Cover Database (NLCD) stands as a paramount dataset offering an in-depth overview of the land cover characteristics in the United States. Spearheaded by the Earth Resources Observation and Science (EROS) Center, this database is renewed every two to three years to provide updated and accurate data for the nation. - - This is a collective effort between the U.S. Geological Survey (USGS) and the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC, composed of various federal agencies, has a rich legacy spanning over 30 years of generating consistent and pertinent land cover information on a national scale. The NLCD is a testament to their dedication and has emerged as one of the most frequently utilized geospatial datasets within the U.S., catering to an extensive audience ranging from scientists, land managers, city planners, to students. - - As of its latest release, the NLCD showcases land cover data and related changes across nine specific epochs, starting from 2001 and culminating in 2021. These datasets are meticulously crafted, ensuring continuity and consistency with the past releases (from 2001-2019). This methodological consistency ensures that the datasets from the different epochs are directly comparable and well-suited for mult-temporal analyses. - - ### What NLCD Offers - - * Land Cover: This product details the land cover of the Conterminous U.S. at a 30-meter spatial resolution, employing a 16-class legend rooted in the modified Anderson Level II classification system. - - * Land Cover Change Index: This visualization tool portrays the transformations that have transpired across all the NLCD epochs, furnishing users with a holistic view of the evolving landscape. - - * Urban Imperviousness: A crucial dataset for urbanization studies, it highlights impervious surfaces in urban regions, showcasing them as a percentage of the developed surface at every 30-meter pixel. - - * Urban Impervious Descriptor: A more nuanced product that classifies specific urban developments, such as roads, wind tower sites, building locations, and energy production sites. This aids in a more granular analysis of urban features. - - ### Access the Data - - Visit the [Acess Data](https://www.mrlc.gov/data) page to explore all of the options that NLCD offers. - - ### Citing this Dataset - - U.S. Geological Survey (USGS) & Multi-Resolution Land Characteristics (MRLC) Consortium. (2021). National Land Cover Database (NLCD) 2021: Conterminous U.S. Land Cover. Earth Resources Observation and Science (EROS) Center. Retrieved from https://www.mrlc.gov/data - - ### Publications - - * Danielson, Patrick, Postma, Kory, Riegle, J., Dewitz, Jon A., Deep learning artificial intelligence (AI) for improving classification accuracy for the National Land Cover Database (NLCD) [abs.] - - * Wickham, J., Stehman, S.V., Sorenson, D.G., Gass, L., Dewitz, Jon A., Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States: Remote Sensing of Environment, v. 257, at https://doi.org/10.1016/j.rse.2021.112357 - - * Rigge, Matthew B., Shi, Hua, Postma, Kory, Projected change in rangeland fractional component cover across the sagebrush biome under climate change through 2085, v. 12, no. 6, at https://doi.org/10.1002/ecs2.3538 - - * Rigge, Matthew B., Homer, Collin G., Shi, Hua, Meyer, Debbie K., Bunde, Brett, Granneman, Brian, Postma, Kory, Danielson, Patrick, Case, Adam, Xian, George Z., Rangeland fractional components across the western United States from 1985 to 2018: Remote Sensing, v. 13, no. 4, at https://doi.org/10.3390/rs13040813 - - * Peng, D., Wang, Y. L., Xian, George, Huete, A.R., Huang, W., Shen, M., Wang, F., Yu, L., Liu, L., Xie, Q., Liu, L., Zhang, X., Investigation of land surface phenology detections in shrublands using multiple scale satellite data: Remote Sensing of Environment, v. 252, at https://doi.org/10.1016/j.rse.2020.112133 - - * Rigge, Matthew B., Shi, Hua, Meyer, Debbie K., Bunde, Brett, Postma, Kory, Trends of fractional rangeland components across a 1985-2020 time-series [poster], v. Measuring & Monitoring Ecosystems, at http://annualmeeting2021.rangelands.org/presentations-posters/ - - * Jin, Suming, Dewitz, Jon A., Sorenson, D., Shogib, Rakibul , Granneman, Brian J., Case, Adam, Li, Congcong, Zhe, Z., Danielson, Patrick, Costello, C., Gass, L., National Land Cover Database 2019—A comprehensive strategy for creating the 1986-2019 Forest Disturbance Date Product [abs.], v. Proceedings, at https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/960755 - - - - - diff --git a/datasets/nlcd.data.mdx b/datasets/nlcd.data.mdx new file mode 100644 index 000000000..9d62451ee --- /dev/null +++ b/datasets/nlcd.data.mdx @@ -0,0 +1,288 @@ +--- +id: nlcd-annual-conus +name: 'National Land Cover Database LULC Classifications' +description: "National Land Cover Database Land Use - Land Cover classifications for CONUS, 2001-2021 at 30 m resolution." + +media: + src: ::file ./nlcd-cover.png + alt: Boston, MA skyline. + author: + name: Eric Kilby + url: https://openverse.org/image/a9e174e6-d4e1-4377-81e2-6e71bf1a9602?q=skyline +taxonomy: + - name: Topics + values: + - Agriculture + - Biomass + - Environmental Justice + - Land Cover + - name: Source + values: + - MRLC +layers: + - id: nlcd-annual-conus + stacApiEndpoint: https://openveda.cloud/api/stac + tileApiEndpoint: https://openveda.cloud/api/raster + stacCol: nlcd-annual-conus + name: NLCD Land Use - Land Cover Classification + type: raster + description: "30 meter LULC classification provided by the NLCD." + initialDatetime: newest + zoomExtent: + - 0 + - 20 + sourceParams: + assets: landcover + bidx: [1] + nodata: 0 + resampling: nearest + colormap_name: nlcd + legend: + type: categorical + min: "0" + max: "255" + stops: + - color: "#486DA2" + label: "Open Water" + - color: "#E7EFFC" + label: "Perennial Ice/Snow" + - color: "#E1CDCE" + label: "Developed, Open Space" + - color: "#DC9881" + label: "Developed, Low Intensity" + - color: "#F10100" + label: "Developed, Medium Intensity" + - color: "#AB0101" + label: "Developed High Intensity" + - color: "#B3AFA4" + label: "Barren Land (Rock/Sand/Clay)" + - color: "#6BA966" + # label: "Vegetation" + label: "Deciduous Forest" + - color: "#1D6533" + label: "Evergreen Forest" + - color: "#BDCC93" + label: "Mixed Forest" + - color: "#B29C46" + label: "Dwarf Scrub" + - color: "#D1BB82" + label: "Shrub/Scrub" + - color: "#EDECCD" + label : "Grassland/Herbaceous" + - color: "#D0D181" + label: "Sedge/Herbaceous" + - color: "#A4CC51" + label: "Lichens" + - color: "#82BA9D" + label: "Moss" + - color: "#DDD83E" + label: "Pasture/Hay" + - color: "#AE7229" + label: "Cultivated Crops" + # label: "Agriculture" + - color: "#BBD7ED" + label: "Woody Wetlands" + - color: "#71A4C1" + label: "Emergent Herbaceous Wetlands" + compare: + datasetId: nlcd-annual-conus + layerId: nlcd-annual-conus + mapLabel: | + ::js ({ dateFns, datetime, compareDatetime }) => { + return `${dateFns.format(datetime, 'yyyy')} VS ${dateFns.format(compareDatetime, 'yyyy')}`; + } + info: + source: MRLC + spatialExtent: United States + temporalResolution: Bi- to Tri-Annual + unit: N/A + + - id: nlcd-new-urbanization + stacApiEndpoint: https://openveda.cloud/api/stac + tileApiEndpoint: https://openveda.cloud/api/raster + stacCol: nlcd-new-urbanization + name: Urbanization + type: raster + description: "This is a binary dataset derived from the National Land Cover Database (NLCD) to illustrate new urbanization from 2001-2021, where 0 is no new urbanization and 1 is new urbanization." + initialDatetime: newest + zoomExtent: + - 0 + - 20 + sourceParams: + colormap_name: reds + nodata: 0 + assets: landcover + rescale: + - 0 + - 1 + legend: + type: categorical + stops: + - color: "#d73027" + label: New Urbanization + info: + source: EROS + spatialExtent: CONUS + temporalResolution: 20 Year Difference + unit: Binary + +--- + + + ## Dataset Details + - **Temporal Extent:** 2001-2021 + - **Temporal Resolution:** Inconsistent (every 2-3 years) + - **Spatial Extent:** CONUS + - **Spatial Resolution:** 30 m + - **Data Units:** N/A + - **Data Type:** Research + - **Data Latency:** N/A + +
+ + + Comparison of the NLCD land cover classifications over Houston, TX between 2001 and 2021 + +
+
+ + + + + ### About + + The National Land Cover Database (NLCD) stands as a paramount dataset offering an in-depth overview of the land cover characteristics in the United States. Spearheaded by the Earth Resources Observation and Science (EROS) Center, this database is renewed every two to three years to provide updated and accurate data for the nation. + + This is a collective effort between the U.S. Geological Survey (USGS) and the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC, composed of various federal agencies, has a rich legacy spanning over 30 years of generating consistent and pertinent land cover information on a national scale. The NLCD is a testament to their dedication and has emerged as one of the most frequently utilized geospatial datasets within the U.S., catering to an extensive audience ranging from scientists, land managers, city planners, to students. + + As of its latest release, the NLCD showcases land cover data and related changes across nine specific epochs, starting from 2001 and culminating in 2021. These datasets are meticulously crafted, ensuring continuity and consistency with the past releases (from 2001-2019). This methodological consistency ensures that the datasets from the different epochs are directly comparable and well-suited for mult-temporal analyses. + + + + + +
+ + + Newly urbanized areas per NLCD classifications in the Indianapolis, IN metropolitan area between 2001 and 2021. + +
+ + + + ### What NLCD Offers + + * Land Cover: This product details the land cover of the Conterminous U.S. at a 30-meter spatial resolution, employing a 16-class legend rooted in the modified Anderson Level II classification system. + + * Land Cover Change Index: This visualization tool portrays the transformations that have transpired across all the NLCD epochs, furnishing users with a holistic view of the evolving landscape. + + * Urban Imperviousness: A crucial dataset for urbanization studies, it highlights impervious surfaces in urban regions, showcasing them as a percentage of the developed surface at every 30-meter pixel. + + * Urban Impervious Descriptor: A more nuanced product that classifies specific urban developments, such as roads, wind tower sites, building locations, and energy production sites. This aids in a more granular analysis of urban features. + + +
+ + + + + ### Access the Data + + Visit the [Access Data](https://www.mrlc.gov/data) page to explore all of the options that NLCD offers. + + + + + + + + ### Citing this Dataset + + U.S. Geological Survey (USGS) & Multi-Resolution Land Characteristics (MRLC) Consortium. (2021). National Land Cover Database (NLCD) 2021: Conterminous U.S. Land Cover. Earth Resources Observation and Science (EROS) Center. Retrieved from https://www.mrlc.gov/data + + + + + + + + ## Disclaimer + + All data provided in VEDA has been transformed from the original format (TIFF) into Cloud Optimized GeoTIFFs ([COG](https://www.cogeo.org)). Careful quality checks are used to ensure data transformation has been performed correctly. + + + + + + + + ### Key Publications + + Homer, C., Dewitz, J., Fry, J., Coan, M., Hossain, N., Larson, C., et al. (2007). Completion of the 2001 National Land Cover Database for the conterminous United States. Photogrammetric Engineering and Remote Sensing, 73(4), 337–341. + + Homer, C., Fry, J. A., & Barnes, C. A. (2012). The national land cover database. US geological survey fact sheet, 3020(4), 1–4. + + Homer, C., Dewitz, J., Yang, L., Jin, S., Danielson, P., Xian, G., et al. (2015). Completion of the 2011 national land cover database for the conterminous United States – Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, 81(5), 345–354. https://doi.org/10.14358/PERS.81.5.345 + + + + + + + + ### Other Publications + + Danielson, Patrick, Postma, Kory, Riegle, J., Dewitz, Jon A., Deep learning artificial intelligence (AI) for improving classification accuracy for the National Land Cover Database (NLCD) [abs.] + + Jin, Suming, Dewitz, Jon A., Sorenson, D., Shogib, Rakibul , Granneman, Brian J., Case, Adam, Li, Congcong, Zhe, Z., Danielson, Patrick, Costello, C., Gass, L., National Land Cover Database 2019—A comprehensive strategy for creating the 1986-2019 Forest Disturbance Date Product [abs.], v. Proceedings, at https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/960755 + + Rigge, Matthew B., Homer, Collin G., Shi, Hua, Meyer, Debbie K., Bunde, Brett, Granneman, Brian, Postma, Kory, Danielson, Patrick, Case, Adam, Xian, George Z., Rangeland fractional components across the western United States from 1985 to 2018: Remote Sensing, v. 13, no. 4, at https://doi.org/10.3390/rs13040813 + + Wickham, J., Stehman, S.V., Sorenson, D.G., Gass, L., Dewitz, Jon A., Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States: Remote Sensing of Environment, v. 257, at https://doi.org/10.1016/j.rse.2021.112357 + + + + + + + + ## Data Stories Using This Dataset + + **Implications for Heat Stress** + + **Aerosols and Their Impacts on Houston, TX** + + **Wildfires Affect Local Weather, Climate, and Hydrology** + + + + + + + + + ## License + + [Creative Commons Attribution 1.0 International](https://creativecommons.org/publicdomain/zero/1.0/legalcode) (CC BY 1.0) + + + \ No newline at end of file diff --git a/stories/camp-fire-burn-scar.stories.mdx b/stories/camp-fire-burn-scar.stories.mdx index c73e8d82e..3484568a5 100644 --- a/stories/camp-fire-burn-scar.stories.mdx +++ b/stories/camp-fire-burn-scar.stories.mdx @@ -103,8 +103,8 @@ taxonomy: + /> Figure 3: Aerosol Optical Depth Compared Decadally from 2000-2009 & 2010-2019 vs the Urbanization of the Houston metro from 2000-2019. The left portion of the map shows the subtracted difference in AOD over the last 20 years over the Houston metropolitan area. diff --git a/stories/urban-heating.stories.mdx b/stories/urban-heating.stories.mdx index 74582b79b..4c4c8e7d2 100644 --- a/stories/urban-heating.stories.mdx +++ b/stories/urban-heating.stories.mdx @@ -65,8 +65,8 @@ taxonomy:
Date: Wed, 13 Nov 2024 09:23:40 -0600 Subject: [PATCH 2/7] added nlcd compare to black belt soil texture --- datasets/soil-texture.data.mdx | 7 +++++++ stories/black-belt-climate-ej.stories.mdx | 4 +++- 2 files changed, 10 insertions(+), 1 deletion(-) diff --git a/datasets/soil-texture.data.mdx b/datasets/soil-texture.data.mdx index aebd943e2..8148d52e4 100644 --- a/datasets/soil-texture.data.mdx +++ b/datasets/soil-texture.data.mdx @@ -29,6 +29,13 @@ layers: assets: soil_texture_0cm_250m colormap_name: soil_texture nodata: 255 + compare: + datasetId: nlcd-annual-conus + layerId: nlcd-annual-conus + mapLabel: | + ::js ({dateFns, datetime, compareDatetime}) => { + return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; + } legend: type: categorical diff --git a/stories/black-belt-climate-ej.stories.mdx b/stories/black-belt-climate-ej.stories.mdx index c8cb44f09..f366ea162 100644 --- a/stories/black-belt-climate-ej.stories.mdx +++ b/stories/black-belt-climate-ej.stories.mdx @@ -56,9 +56,11 @@ taxonomy: center={[-87, 32.6]} zoom={6.5} dateTime='2017-01-01' + compareDateTime='2021-01-01' + compareLabel='Surface Soil Texture vs. NLCD Classifications' /> - Surface soil textures classified from the International Soil Reference and Information Centre (ISRIC) show the fertile 'black belt' region of Alabama quite well. + Surface soil textures classified from the International Soil Reference and Information Centre (ISRIC) show the fertile 'black belt' region of Alabama quite well, and the National Land Cover Database (NLCD) reveeals that this area is heavily agricultural.
From b0db943959b9e46ade37ea8b94d1a16000c82af6 Mon Sep 17 00:00:00 2001 From: Andrew Blackford <62357205+acblackford@users.noreply.github.com> Date: Wed, 13 Nov 2024 09:27:22 -0600 Subject: [PATCH 3/7] update bb soil texture id call --- stories/black-belt-climate-ej.stories.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/stories/black-belt-climate-ej.stories.mdx b/stories/black-belt-climate-ej.stories.mdx index f366ea162..025f4962b 100644 --- a/stories/black-belt-climate-ej.stories.mdx +++ b/stories/black-belt-climate-ej.stories.mdx @@ -51,7 +51,7 @@ taxonomy:
Date: Wed, 13 Nov 2024 10:21:48 -0700 Subject: [PATCH 4/7] Update datasets/nlcd.data.mdx --- datasets/nlcd.data.mdx | 2 -- 1 file changed, 2 deletions(-) diff --git a/datasets/nlcd.data.mdx b/datasets/nlcd.data.mdx index 9d62451ee..a006c6cdd 100644 --- a/datasets/nlcd.data.mdx +++ b/datasets/nlcd.data.mdx @@ -98,8 +98,6 @@ layers: unit: N/A - id: nlcd-new-urbanization - stacApiEndpoint: https://openveda.cloud/api/stac - tileApiEndpoint: https://openveda.cloud/api/raster stacCol: nlcd-new-urbanization name: Urbanization type: raster From 73783da46763ae8af0661398a0068bfbe18bf45c Mon Sep 17 00:00:00 2001 From: Alexandra Kirk Date: Wed, 13 Nov 2024 10:21:56 -0700 Subject: [PATCH 5/7] Update datasets/nlcd.data.mdx --- datasets/nlcd.data.mdx | 2 -- 1 file changed, 2 deletions(-) diff --git a/datasets/nlcd.data.mdx b/datasets/nlcd.data.mdx index a006c6cdd..e5f49d492 100644 --- a/datasets/nlcd.data.mdx +++ b/datasets/nlcd.data.mdx @@ -21,8 +21,6 @@ taxonomy: - MRLC layers: - id: nlcd-annual-conus - stacApiEndpoint: https://openveda.cloud/api/stac - tileApiEndpoint: https://openveda.cloud/api/raster stacCol: nlcd-annual-conus name: NLCD Land Use - Land Cover Classification type: raster From a3fd83c98a7fb76df5972fba114cdd453aee6525 Mon Sep 17 00:00:00 2001 From: Andrew Blackford <62357205+acblackford@users.noreply.github.com> Date: Wed, 13 Nov 2024 13:38:26 -0600 Subject: [PATCH 6/7] added source to BB story --- stories/black-belt-climate-ej.stories.mdx | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/stories/black-belt-climate-ej.stories.mdx b/stories/black-belt-climate-ej.stories.mdx index 025f4962b..4e67a8587 100644 --- a/stories/black-belt-climate-ej.stories.mdx +++ b/stories/black-belt-climate-ej.stories.mdx @@ -16,7 +16,9 @@ taxonomy: - Heat - Land Use - Natural Disasters - + - name: Source + values: + - Community Contributed --- From 1f1c178523827d0bb06d0400def52eb08776536f Mon Sep 17 00:00:00 2001 From: Gjore Milevski Date: Tue, 26 Nov 2024 16:21:52 +0100 Subject: [PATCH 7/7] Bump veda UI to v5.11.0 --- .veda/ui | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.veda/ui b/.veda/ui index 6e929e8a9..9132e6d9b 160000 --- a/.veda/ui +++ b/.veda/ui @@ -1 +1 @@ -Subproject commit 6e929e8a9d075776a206bfd020c58107e71435ea +Subproject commit 9132e6d9bbdae0a0687dbe4fb51b0c892ac44513