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NASA-IMPACT · Nov 13, 2024 · d1510e6 · d1510e6
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diff --git a/datasets/tornadoes2024-paths.data.mdx b/datasets/tornadoes2024-paths.data.mdx
@@ -77,7 +77,7 @@ layers:
   - **Temporal Extent:** March 1 - May 31, 2024
   - **Temporal Resolution:** Daily
   - **Spatial Extent:** CONUS
-  - **Spatial Resolution:** Polygons: 10 m ; Paths: 100 m
+  - **Spatial Resolution:** 50 meters
   - **Data Units:** N/A
   - **Data Type:** Research
   - **Data Latency:** N/A

diff --git a/datasets/tornadoes2024-planet.data.mdx b/datasets/tornadoes2024-planet.data.mdx
@@ -117,15 +117,15 @@ layers:
 
 <Block>
   <Prose>
-
-  ### About
-
-  x
+  ## Dataset Details
+  - **Temporal Extent:** March 1 - May 31, 2024
+  - **Temporal Resolution:** Inconsistent
+  - **Spatial Extent:** Select sites across CONUS
+  - **Spatial Resolution:** 3 meters
+  - **Data Units:** N/A
+  - **Data Type:** Research
+  - **Data Latency:** N/A
   </Prose>
-</Block>
-
-<Block type='full'>
-
 <Figure>
   <Map
     datasetId='ps-greenfield-pre-tornadoes-2024'
@@ -142,7 +142,102 @@ layers:
     Planet imagery of EF-4 tornado damage in Greenfield, Iowa on March 21, 2024.
   </Caption>
 </Figure>
+</Block>
 
+<Block>
+  <Prose>
+
+  ### About
+
+  Planet Labs’ SmallSat imagery, captured by the PlanetScope Dove satellite constellation, is a highly valuable commercial satellite remote sensing product, frequently leveraged for rapid damage assessment and environmental monitoring. Known for its frequent overpasses, with revisit times on the order of a couple of days, and an impressive spatial resolution of 3 meters, this imagery offers exceptional capabilities for monitoring changes in landscapes and infrastructure. The PlanetScope constellation can collect imagery covering up to 2 million square kilometers per day across the visible and near-infrared channels, providing extensive data for timely and precise analysis.
+
+  </Prose>
 </Block>
 
+<Block>
+
+  <Prose>
+
+  ### What PlanetScope Data Offers
+
+  * High-Resolution Imagery: With a 3-meter spatial resolution, the PlanetScope Dove satellite imagery provides detailed views of landscapes, enabling precise assessments of building and vegetation damage.
+
+  * Frequent Revisit Times: The satellite constellation’s ability to capture imagery on the order of every couple of days makes it highly effective for monitoring rapid changes, such as those caused by natural disasters.
+
+  * Extensive Coverage: Collecting up to 2 million square kilometers of imagery daily, the Dove constellation ensures broad coverage across visible and near-infrared channels.
+
+  * Building and Vegetation Damage Assessment: The high-resolution and frequent imagery facilitate quick identification and analysis of damage to infrastructure and vegetation, aiding in damage determination and response efforts.
+
+  </Prose>
+</Block>
+
+<Block>
+  <Prose>
+
+  ### Access the Data
+
+  Visit Planet's [home page](https://www.planet.com) to explore options for data access. NASA's Commercial SmallSat Data Explorer (CSDA) Program has a contract with Planet Labs, which is how the Planet data hosted here was acquired. You can access the CDSA data explorer [**HERE**](https://csdap.earthdata.nasa.gov).
+
+  </Prose>
+</Block>
+
+<Block>
+  <Prose>
+
+  ### Citing this Dataset
+
+  Image © 2024 Planet Labs PBC. Planet Application Program Interface: In Space for Life on Earth. https://api.planet.com.
+
+  </Prose>
+</Block>
+
+<Block>
+  <Prose>
+
+  ## 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.  
+
+  </Prose>
+</Block>
+
+<Block>
+  <Prose>
+
+  ### Key Publications
+
+  Marshall, W and C. Boshuizen, 2013: Planet Labs' Remote Sensing Satellite System. Proc. of the 2013 Small Satellite Conference, Utah State University. https://digitalcommons.usu.edu/smallsat/2013/all2013/7/
+
+  </Prose>
+</Block>
+
+<Block>
+  <Prose>
+
+  ### Other Publications
+
+  Molthan, A., L. A. Schultz, K. M. McGrath, J. E. Burks, J. P. Camp, K. Angle, J. R. Bell, and G. J. Jedlovec, 2020: Earth Remote Sensing in NWS Severe Weather Damage Assessments. *Bull. Amer. Meteor. Soc.*, **101**, 221–226. https://www.jstor.org/stable/27028125 
+
+  </Prose>
+</Block>
+
+<Block>
+  <Prose>
+
+  ## Data Stories Using This Dataset
+
+  **<Link to={"/stories/2024-tornadoes"}>The Hyperactive Spring 2024 Tornado Season</Link>**
+
+  </Prose>
+</Block>
+
+<Block>
+  <Prose>
+
+  ## License
+
+  [Creative Commons Attribution 1.0 International](https://creativecommons.org/publicdomain/zero/1.0/legalcode) (CC BY 1.0)
+
+  </Prose>
+</Block>