updated tags (added socioeconomic tag)

NASA-IMPACT · Dec 5, 2024 · af3b81b · af3b81b
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diff --git a/datasets/emit-landfill.data.mdx b/datasets/emit-landfill.data.mdx
@@ -12,7 +12,6 @@ taxonomy:
   - name: Topics
     values:
       - Air Quality
-      - Environmental Justice
   - name: Source
     values:
       - NASA EMIT
@@ -83,7 +82,7 @@ layers:
       This dataset focuses on large methane (CH4) emissions from Landfills in the Stockton, CA and Dallas, TX regions. For more information on EMIT please visit NASA's [Land Processing Distributed Active Archive Center](https://lpdaac.usgs.gov/data/get-started-data/collection-overview/missions/emit-overview/#emit-metadata) (LP DAAC) and the EMIT Dataset Overview page on the U.S. [Greenhouse Gas Center](https://earth.gov/ghgcenter/data-catalog/emit-ch4plume-v1).
 
       - **Temporal Extent:** June 22, and August 25, 2023
-      - **Temporal Resolution:** Variable (based on ISS orbit, solar illumination, and target mask)
+      - **Temporal Resolution:** Inconsistent
       - **Spatial Extent:** Stockton, CA and Dallas, TX
       - **Spatial Resolution:** 60 m
       - **Data Units:** Parts per million-meter (ppm m)

diff --git a/datasets/fb_population.ej.data.mdx b/datasets/fb_population.ej.data.mdx
@@ -11,7 +11,7 @@ media:
 taxonomy:
   - name: Topics
     values:
-      - Environmental Justice
+      - Socioeconomic
   - name: Source
     values:
       - Meta 

diff --git a/datasets/grdi-v1.data.mdx b/datasets/grdi-v1.data.mdx
@@ -11,7 +11,7 @@ media:
 taxonomy:
   - name: Topics
     values:
-      - Environmental Justice
+      - Socioeconomic
   - name: Source
     values:
       - NASA CIESIN

diff --git a/datasets/hls-events.ej.data.mdx b/datasets/hls-events.ej.data.mdx
@@ -18,7 +18,6 @@ media:
 taxonomy:
   - name: Topics
     values:
-     - Environmental Justice
      - Disasters
   - name: Source
     values:
@@ -110,7 +109,7 @@ The production of atmospherically corrected HLS products is a collaborative effo
 </Figure>
 <Prose>
 ## Interpreting the data
-HLS imagery in support of Environmental Justice shows the impact of flooding for Hurricanes Maria and Ida that made landfall in Puerto Rico (2017) and New Orleans, LA (2021) respectively. The imagery displayed is a shortwave infrared (SWIR) false color composite that provides enhanced contrast to detect flood extent. In SWIR false color composite imagery, water is identified by dark blue colors, vegetation is bright green, clouds are white, and ice is blue.
+HLS imagery shows the impact of flooding for Hurricanes Maria and Ida that made landfall in Puerto Rico (2017) and New Orleans, LA (2021) respectively. The imagery displayed is a shortwave infrared (SWIR) false color composite that provides enhanced contrast to detect flood extent. In SWIR false color composite imagery, water is identified by dark blue colors, vegetation is bright green, clouds are white, and ice is blue.
 </Prose>
 </Block>
 

diff --git a/datasets/nighttime-lights.data.mdx b/datasets/nighttime-lights.data.mdx
@@ -1,6 +1,6 @@
 ---
 id: nighttime-lights
-name: 'Nighttime Lights'
+name: 'Black Marble Night Lights - COVID-19'
 description: 'During the COVID-19 pandemic, researchers are using night light observations to track variations in energy use, migration, and transportation in response to social distancing and lockdown measures.'
 media:
   src: ::file ./nighttime-lights--dataset-cover.jpg

diff --git a/datasets/nighttime-lights.ej.data.mdx b/datasets/nighttime-lights.ej.data.mdx
@@ -1,6 +1,6 @@
 ---
 id: nighttime-lights-ej
-name: 'Nighttime Lights supporting Environmental Justice'
+name: 'Black Marble Night Lights - Hurricanes Maria and Ida'
 description: 'High definition nighttime lights can be used to identify regions impacted by natural disaster and/or power outages to better inform disaster response efforts.'
 media:
   src: ::file ./nighttime-lights-ej--dataset-cover-neworleans.jpeg
@@ -11,7 +11,7 @@ media:
 taxonomy:
   - name: Topics
     values:
-      - Environmental Justice
+      - Disasters
   - name: Source
     values:
       - Black Marble

diff --git a/datasets/ps_blue_tarp_detections.ej.data.mdx b/datasets/ps_blue_tarp_detections.ej.data.mdx
@@ -1,7 +1,7 @@
 ---
 id: ps_blue_tarp_detections
-name: "Blue tarp detections"
-description: "Machine learning generated blue tarp detections using Planetscope 3-band RGB imagery"
+name: "PlanetScope Blue tarp Detections"
+description: "Machine learning generated blue tarp detections using PlanetScope 3-band RGB imagery"
 media:
   src: ::file ./ps-bluetarp--dataset-cover.jpg
   alt: Blue tarp detections for Jefferson Parish, LA on February 12, 2022
@@ -11,19 +11,18 @@ media:
 taxonomy:
   - name: Topics
     values:
-      - Environmental Justice
       - Disasters
   - name: Source
     values:
       - Planet
 infoDescription: |
   ::markdown
-    Planetscope provides 3-band RGB imagery at 3-meter ground resolution which
+    PlanetScope provides 3-band RGB imagery at 3-meter ground resolution which
     can support building-scale analysis of the land surface. In the aftermath of
     natural disasters associated with high wind speeds, homes with damaged roofs
     typically are covered with blue tarps to protect the interior of the home
     from further damage. Using machine learning, blue tarps can be detected from
-    the Planetscope imagery using pre-event cloud free images to detect blue
+    the PlanetScope imagery using pre-event cloud free images to detect blue
     pixels and potential impacts after a natural disaster.
 layers:
   - id: blue-tarp-detection
@@ -49,9 +48,9 @@ layers:
 
   - id: blue-tarp-planetscope
     stacCol: blue-tarp-planetscope
-    name: Planetscope input RGB imagery used for blue tarp detection
+    name: PlanetScope input RGB imagery used for blue tarp detection
     type: raster
-    description: "Planetscope input RGB imagery used for blue tarp detection. Includes copyrighted material of Planet. All rights reserved."
+    description: "PlanetScope input RGB imagery used for blue tarp detection. Includes copyrighted material of Planet. All rights reserved."
     zoomExtent:
       - 14
     compare:
@@ -71,12 +70,12 @@ layers:
 
 <Block>
   <Prose>
-    Planetscope provides 3-band RGB imagery at 3-meter ground resolution which
+    PlanetScope provides 3-band RGB imagery at 3-meter ground resolution which
     can support building-scale analysis of the land surface. In the aftermath of
     natural disasters associated with high wind speeds, homes with damaged roofs
     typically are covered with blue tarps to protect the interior of the home
     from further damage. Using machine learning, blue tarps can be detected from
-    the Planetscope imagery using pre-event cloud free images to detect blue
+    the PlanetScope imagery using pre-event cloud free images to detect blue
     pixels and potential impacts after a natural disaster.
   </Prose>
 </Block>
@@ -85,7 +84,7 @@ layers:
   <Prose>
     ## Scientific research Detection of blue tarps from high resolution imagery
     can inform disaster response of the most impacted locations. Additionally,
-    given the frequency with which Planetscope scenes are retrieved from the
+    given the frequency with which PlanetScope scenes are retrieved from the
     satellite, the rate of recovery for a given location can also be tracked
     over time. This can also support disaster response to provide aid to
     specific locations where recovery efforts are lacking.

diff --git a/datasets/svi_household.ej.data.mdx b/datasets/svi_household.ej.data.mdx
@@ -11,7 +11,7 @@ media:
 taxonomy:
   - name: Topics
     values:
-      - Environmental Justice
+      - Socioeconomic
   - name: Source
     values:
       - ATSDR

diff --git a/datasets/svi_housing.ej.data.mdx b/datasets/svi_housing.ej.data.mdx
@@ -11,7 +11,7 @@ media:
 taxonomy:
   - name: Topics
     values:
-      - Environmental Justice
+      - Socioeconomic
   - name: Source
     values:
       - ATSDR

diff --git a/datasets/svi_minority.ej.data.mdx b/datasets/svi_minority.ej.data.mdx
@@ -11,7 +11,7 @@ media:
 taxonomy:
   - name: Topics
     values:
-      - Environmental Justice
+      - Socioeconomic
   - name: Source
     values:
       - ATSDR

diff --git a/datasets/svi_overall.ej.data.mdx b/datasets/svi_overall.ej.data.mdx
@@ -18,7 +18,7 @@ media:
 taxonomy:
   - name: Topics
     values:
-      - Environmental Justice
+      - Socioeconomic
   - name: Source
     values:
       - ATSDR

diff --git a/datasets/svi_socioeconomic.ej.data.mdx b/datasets/svi_socioeconomic.ej.data.mdx
@@ -11,7 +11,7 @@ media:
 taxonomy:
   - name: Topics
     values:
-      - Environmental Justice
+      - Socioeconomic
   - name: Source
     values:
       - ATSDR

diff --git a/datasets/urban-heating.data.mdx b/datasets/urban-heating.data.mdx
@@ -11,7 +11,6 @@ media:
 taxonomy:
   - name: Topics
     values:
-      - Environmental Justice
       - Land Cover
       - Temperature
   - name: Source