Merge pull request #343 from NASA-IMPACT/develop

[PRODUCTION] v0.14.0

.github/PULL_REQUEST_TEMPLATE/content.md

@@ -6,18 +6,18 @@ _Replace with brief description/list of the content being added_
 
 ## Content checklist
 
-Check the [Content Documentation](https://github.com/NASA-IMPACT/veda-ui/blob/main/docs/CONTENT.md) for more details.
+Check the [Content Documentation](https://github.com/NASA-IMPACT/veda-ui/blob/main/docs/content/CONTENT.md) for more details.
 
 ### Any content
 - [ ] Cover image with proper attribution (when relevant) is present.
 - [ ] Cover images do not contain any text (they're used as a background and text may not be readable).
 - [ ] All images are not too big/heavy. As a general rule of thumb, they should not weigh more than 500KB, or be larger than 2000px. See the [media guide](https://github.com/NASA-IMPACT/veda-ui/blob/main/docs/frontmatter/media.md#media) for more info.
-- [ ] Content was added using the available [MDX Blocks](https://github.com/NASA-IMPACT/veda-ui/blob/main/docs/MDX_BLOCKS.md).
+- [ ] Content was added using the available [MDX Blocks](https://github.com/NASA-IMPACT/veda-ui/blob/main/docs/content/MDX_BLOCKS.md).
 
 ### Datasets
 - [ ] [Layer description](https://github.com/NASA-IMPACT/veda-ui/blob/main/docs/frontmatter/layer.md#properties) is defined.
 - [ ] [Layer legend](https://github.com/NASA-IMPACT/veda-ui/blob/main/docs/frontmatter/layer.md#legend) is setup.
 - [ ] The Dataset is showing up on the map correctly
 
 ### Stories
-- [ ] [Publication date](https://github.com/NASA-IMPACT/veda-ui/blob/main/docs/CONTENT.md#stories) value is set
+- [ ] [Publication date](https://github.com/NASA-IMPACT/veda-ui/blob/main/docs/content/CONTENT.md#stories) value is set

datasets/camp-fire-albedo-wsa-diff.data.mdx

@@ -0,0 +1,57 @@
+---
+id: campfire_albedo_wsa_difference_2015_2022
+name: "Camp Fire burn scar Albedo WSA difference"
+description: "3-year average difference (2018-2022) - (2015-2018) MODIS-derived Albedo WSA over the 2018 Camp Fire burn scar domain." 
+media:
+  src: ::file ./camp-fire-background.jpg
+  alt: Engulfed hillside in California, 2021.
+  author:
+    name: Mike Newbry
+    url: https://unsplash.com/photos/DwtX9mMHBJ0
+taxonomy:
+  - name: Topics
+    values:
+      - EIS
+
+
+layers:
+  - id: modis-albedo-wsa-diff-2015-2022
+    stacCol: campfire-albedo-wsa-diff
+    name: MODIS Albedo WSA Difference
+    type: raster
+    description: "3-year average difference (2018-2022) - (2015-2018) MODIS-derived Albedo WSA over the 2018 Camp Fire burn scar domain."
+    initialDatetime: newest
+    zoomExtent:
+      - 0
+      - 20
+    sourceParams:
+      colormap_name: bwr
+      rescale:
+        - -0.1
+        - 0.1
+      nodata: -9999
+    legend:
+      type: gradient
+      min: "-0.1"
+      max: "0.1"
+      stops:
+        - "#4575b4"
+        - "#91bfdb"
+        - "#e0f3f8"
+        - "#ffffff"
+        - "#fee090"
+        - "#fc8d59"
+        - "#d73027"
+
+
+
+
+---
+
+<Block>
+  <Prose>
+    In order to examine how the fire event affected the changes in surface properties, we utilized the MODIS-derived Normalized Difference Vegetation Index (NDVI), albedo, and land surface temperature (LST) products for a six-year period centered on the Camp Fire event (2015-2022). We used these products which are available at 16-day intervals to compute monthly averaged spatial maps of NDVI, albedo, and LST. The monthly average spatial maps were then averaged over the areas affected by the Camp Fire to compute monthly mean values. This dataset is the Albedo WSA difference portion of that analysis.
+  </Prose>
+</Block>
+
+

datasets/camp-fire-lst-day-diff.data.mdx

@@ -0,0 +1,59 @@
+---
+id: campfire_lst_day_difference_2015_2022
+name: "Camp Fire burn scar LST Day difference"
+description: "3-year average difference (2018-2022) - (2015-2018) MODIS-derived LST Day over the 2018 Camp Fire burn scar domain." 
+media:
+  src: ::file ./camp-fire-background.jpg
+  alt: Engulfed hillside in California, 2021.
+  author:
+    name: Mike Newbry
+    url: https://unsplash.com/photos/DwtX9mMHBJ0
+taxonomy:
+  - name: Topics
+    values:
+      - EIS
+
+
+layers:
+  - id: modis-lst-day-diff-2015-2022
+    stacCol: campfire-lst-day-diff
+    name: MODIS LST Day Difference
+    type: raster
+    description: "3-year average difference (2018-2022) - (2015-2018) MODIS-derived LST Day over the 2018 Camp Fire burn scar domain."
+    initialDatetime: newest
+    zoomExtent:
+      - 0
+      - 20
+    sourceParams:
+      colormap_name: bwr
+      rescale:
+        - -7.5
+        - 7.5
+      nodata: -9999
+    legend:
+      unit:
+        label: °C
+      type: gradient
+      min: "-7.5"
+      max: "7.5"
+      stops:
+        - "#4575b4"
+        - "#91bfdb"
+        - "#e0f3f8"
+        - "#ffffff"
+        - "#fee090"
+        - "#fc8d59"
+        - "#d73027"
+
+
+
+
+---
+
+<Block>
+  <Prose>
+    In order to examine how the fire event affected the changes in surface properties, we utilized the MODIS-derived Normalized Difference Vegetation Index (NDVI), albedo, and land surface temperature (LST) products for a six-year period centered on the Camp Fire event (2015-2022). We used these products which are available at 16-day intervals to compute monthly averaged spatial maps of NDVI, albedo, and LST. The monthly average spatial maps were then averaged over the areas affected by the Camp Fire to compute monthly mean values. This dataset is the LST Day difference portion of that analysis.
+  </Prose>
+</Block>
+
+

datasets/camp-fire-lst-night-diff.data.mdx

@@ -0,0 +1,59 @@
+---
+id: campfire_lst_night_difference_2015_2022
+name: "Camp Fire burn scar LST Night difference"
+description: "3-year average difference (2018-2022) - (2015-2018) MODIS-derived LST Night over the 2018 Camp Fire burn scar domain." 
+media:
+  src: ::file ./camp-fire-background.jpg
+  alt: Engulfed hillside in California, 2021.
+  author:
+    name: Mike Newbry
+    url: https://unsplash.com/photos/DwtX9mMHBJ0
+taxonomy:
+  - name: Topics
+    values:
+      - EIS
+
+
+layers:
+  - id: modis-lst-night-diff-2015-2022
+    stacCol: campfire-lst-night-diff
+    name: MODIS LST Night Difference
+    type: raster
+    description: "3-year average difference (2018-2022) - (2015-2018) MODIS-derived LST Night over the 2018 Camp Fire burn scar domain."
+    initialDatetime: newest
+    zoomExtent:
+      - 0
+      - 20
+    sourceParams:
+      colormap_name: bwr
+      rescale:
+        - -1.75
+        - 1.75
+      nodata: -9999
+    legend:
+      unit:
+        label: °C
+      type: gradient
+      min: "-1.75"
+      max: "1.75"
+      stops:
+        - "#4575b4"
+        - "#91bfdb"
+        - "#e0f3f8"
+        - "#ffffff"
+        - "#fee090"
+        - "#fc8d59"
+        - "#d73027"
+
+
+
+
+---
+
+<Block>
+  <Prose>
+    In order to examine how the fire event affected the changes in surface properties, we utilized the MODIS-derived Normalized Difference Vegetation Index (NDVI), albedo, and land surface temperature (LST) products for a six-year period centered on the Camp Fire event (2015-2022). We used these products which are available at 16-day intervals to compute monthly averaged spatial maps of NDVI, albedo, and LST. The monthly average spatial maps were then averaged over the areas affected by the Camp Fire to compute monthly mean values. This dataset is the LST Night difference portion of that analysis.
+  </Prose>
+</Block>
+
+

datasets/camp-fire-ndvi-diff.data.mdx

@@ -0,0 +1,57 @@
+---
+id: campfire_ndvi_difference_2015_2022
+name: "Camp Fire burn scar NDVI difference"
+description: "3-year average difference (2018-2022) - (2015-2018) MODIS-derived NDVI over the 2018 Camp Fire burn scar domain." 
+media:
+  src: ::file ./camp-fire-background.jpg
+  alt: Engulfed hillside in California, 2021.
+  author:
+    name: Mike Newbry
+    url: https://unsplash.com/photos/DwtX9mMHBJ0
+taxonomy:
+  - name: Topics
+    values:
+      - EIS
+
+
+layers:
+  - id: modis-ndvi-diff-2015-2022
+    stacCol: campfire-ndvi-diff
+    name: MODIS NDVI Difference
+    type: raster
+    description: "3-year average difference (2018-2022) - (2015-2018) MODIS-derived NDVI over the 2018 Camp Fire burn scar domain."
+    initialDatetime: newest
+    zoomExtent:
+      - 0
+      - 20
+    sourceParams:
+      colormap_name: bwr
+      rescale:
+        - -0.5
+        - 0.5
+      nodata: -9999
+    legend:
+      type: gradient
+      min: "-0.5"
+      max: "0.5"
+      stops:
+        - "#4575b4"
+        - "#91bfdb"
+        - "#e0f3f8"
+        - "#ffffff"
+        - "#fee090"
+        - "#fc8d59"
+        - "#d73027"
+
+
+
+
+---
+
+<Block>
+  <Prose>
+    In order to examine how the fire event affected the changes in surface properties, we utilized the MODIS-derived Normalized Difference Vegetation Index (NDVI), albedo, and land surface temperature (LST) products for a six-year period centered on the Camp Fire event (2015-2022). We used these products which are available at 16-day intervals to compute monthly averaged spatial maps of NDVI, albedo, and LST. The monthly average spatial maps were then averaged over the areas affected by the Camp Fire to compute monthly mean values. This dataset is the NDVI difference portion of that analysis.    
+  </Prose>
+</Block>
+
+

datasets/camp-fire-nlcd.data.mdx

@@ -0,0 +1,97 @@
+---
+id: campfire-nlcd
+name: "NLCD Land Cover identification 2016 vs 2019"
+description: "Land Use-Land Cover (LULC) is a product derived from Landsat NLCD (national Land Cover Database) data, who’s most recent iteration is from 2019 satellite imagery."
+media:
+  src: ::file ./camp-fire-background.jpg
+  alt: Engulfed hillside in California, 2021.
+  author:
+    name: Mike Newbry
+    url: https://unsplash.com/photos/DwtX9mMHBJ0
+taxonomy:
+  - name: Topics
+    values:
+      - EIS
+
+
+layers:
+  - id: campfire-nlcd
+    stacCol: campfire-nlcd
+    name: NLCD Land Use - Land Cover Classification
+    type: raster
+    description: "30 meter LULC classification provided by the NLCD."
+    initialDatetime: newest
+    zoomExtent:
+        - 0
+        - 20
+    sourceParams:
+        colormap: '{"11":"#486DA2", "12":"#E7EFFC", "21": "#E1CDCE", "22": "#DC9881", "23": "#F10100", "24": "#AB0101",
+              "31":"#B3AFA4", "41":"#6BA966", "42": "#1D6533", "43": "#BDCC93", "51": "#B29C46", "52": "#D1BB82",
+              "71":"#EDECCD", "72":"#D0D181", "73": "#A4CC51", "74": "#82BA9D", "81": "#DDD83E", "82": "#AE7229",
+              "90":"#BBD7ED", "95":"#71A4C1","0":"#00BFFF"}'
+        nodata: 0
+        rescale:
+            - 0
+            - 255   
+    legend:
+        type: categorical
+        min: "0"
+        max: "255"
+        stops:
+            # - color: "#486DA2"
+            #   label: "Open Water"
+            # - color: "#E7EFFC"
+            #   label: "Perennial Ice/Snow"
+            - color: "#E1CDCE"
+              label: "Urban"
+            - 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: campfire-nlcd
+        layerId: campfire-nlcd
+
+
+
+---
+
+<Block>
+  <Prose>
+    We utilized the National Land Cover Database (NLCD), which provides a classification of land cover categories at 30m spatial resolution over geographical locations within the Continental United States (CONUS). The NLCD is derived from Landsat satellite sensors data and is available at approximately three-year time intervals. We used the NLCD maps for the years 2016 and 2019 to examine changes in land cover type resulting from the Camp Fire event, to examine LULC before and after the Camp Fire. This analysis shows that the dominant vegetation cover type that was present within the region per-wildfire are evergreen forest and shrub/scrub cover, while post-wildfire are grasslands and herbaceous vegetation.
+  </Prose>
+</Block>
+
+