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Service Description: Date of Image(s):
Post-Event: April 7,2025
Date of Next Image
Unknown
Summary:
This is an experimental product. Some areas are affected by cloud cover.
Normalized Differential Vegetation Index (NDVI) maps are produced by converting pixel values to NDVI = (Red – NIR)/(Red + NIR), NIR indicates the near infrared band. The dynamically generated Normalized Difference Vegetation Index (NDVI) layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths.
Normalized Differential Water Index (NDWI) maps are produced by converting pixel values to NDWI = (green – NIR)/(green + NIR). Higher Planet scene numbers are layered over lower scene numbers. Normalized Difference Water Index (MNDWI) provides a different view of the Earth's surface combining different bands to make water bodies more obvious. This index can be used to identify flooded areas as well as heavily saturated areas.
Water maps use a beta PlanetScope Flood Mapping system created in partnership between NASA GSFC and the Dartmouth Flood Observatory at the University of Colorado. This product distinguishes water covered pixels from non-water covered pixels, using an adaptive NDWI dynamic thresholding approach. Details are in a pending publication.
Processed water map raster data include clouds (1), areas not covered by water (2), and water (3).
Suggested Use:
NDVI: NDVI is commonly used to distinguish healthy/active vegetation (1) from unhealthy/dormant vegetation (-1).
NDWI: Thresholding of NDVI is one technique used to distinguish surfaces covered by water (-1) from surfaces not covered by water (1).
Water Maps: This product shows water that is detected by the sensor with different colors indicating different land cover/land use classifications
Satellite/Sensor:
PlanetScope. This product includes copyrighted material of Planet Labs PBC. All rights reserved.
Resolution:
3 meters
Credits:
NASA Disasters Program, Dartmouth Flood Observatory at the University of Colorado, NASA Marshall Space Flight Center (MSFC), NASA GSFC.
NASA-GSFC Principle Investigator (PI): Frederick Policelli
PlanetScope: Includes copyrighted material of Planet Labs PBC. All rights reserved.
planet_gsfcdfo
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Dynamic Legend
Dynamic All Layers
Layers:
Description: Date of Image(s): Post-Event: April 7,2025Date of Next ImageUnknownSummary:This is an experimental product. Some areas are affected by cloud cover.Normalized Differential Vegetation Index (NDVI) maps are produced by converting pixel values to NDVI = (Red – NIR)/(Red + NIR), NIR indicates the near infrared band. The dynamically generated Normalized Difference Vegetation Index (NDVI) layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths.Normalized Differential Water Index (NDWI) maps are produced by converting pixel values to NDWI = (green – NIR)/(green + NIR). Higher Planet scene numbers are layered over lower scene numbers. Normalized Difference Water Index (MNDWI) provides a different view of the Earth's surface combining different bands to make water bodies more obvious. This index can be used to identify flooded areas as well as heavily saturated areas.Water maps use a beta PlanetScope Flood Mapping system created in partnership between NASA GSFC and the Dartmouth Flood Observatory at the University of Colorado. This product distinguishes water covered pixels from non-water covered pixels, using an adaptive NDWI dynamic thresholding approach. Details are in a pending publication.Processed water map raster data include clouds (1), areas not covered by water (2), and water (3).Suggested Use:NDVI: NDVI is commonly used to distinguish healthy/active vegetation (1) from unhealthy/dormant vegetation (-1).NDWI: Thresholding of NDVI is one technique used to distinguish surfaces covered by water (-1) from surfaces not covered by water (1).Water Maps: This product shows water that is detected by the sensor with different colors indicating different land cover/land use classificationsSatellite/Sensor:PlanetScope. This product includes copyrighted material of Planet Labs PBC. All rights reserved.Resolution:3 metersCredits:NASA Disasters Program, Dartmouth Flood Observatory at the University of Colorado, NASA Marshall Space Flight Center (MSFC), NASA GSFC. NASA-GSFC Principle Investigator (PI): Frederick PolicelliPlanetScope: Includes copyrighted material of Planet Labs PBC. All rights reserved.
Service Item Id: c07a205a727a424cb4b1d748068fd15c
Copyright Text: NASA Disasters Program, Dartmouth Flood Observatory at the University of Colorado, NASA MSFC, NASA GSFC. NASA-GSFC, Frederick Policelli. PlanetScope: Includes copyrighted material of Planet Labs PBC. All rights reserved.
Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
XMin: -1.0198654969899647E7
YMin: 4275660.80169939
XMax: -1.0106792785378393E7
YMax: 4355822.382772136
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -1.0367583009990696E7
YMin: 3946052.6768306103
XMax: -9391411.133176288
YMax: 4771565.438098029
Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: Planet Water (GSFC/DFO), NDVI, and NDWI Maps for the US Severe Weather April 2025
Author:
Comments: Date of Image(s): Post-Event: 07 April, 2025Date of Next ImageUnknownSummary:For all of the derived variables from Planet Scenes, a continuous geotiff file us computed using the ArcGIS Mosaic to New Raster tool is used. The default “Last” mosaic operator is used.This is an experimental product. Some areas are affected by cloud cover.Normalized Differential Vegetation Index (NDVI) maps are produced by converting pixel values to NDVI = (RedSR – NIRSR)/(RedSR + NIRSR), SR is Surface Reflectance and NIR indicates the near infrared band. The dynamically generated Normalized Difference Vegetation Index (NDVI) layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths.Normalized Differential Water Index (NDWI) maps are produced by converting pixel values to NDWI = (greenSR – NIRSR)/(greenSR + NIRSR). Higher Planet scene numbers are layered over lower scene numbers. Normalized Difference Water Index (MNDWI) provides a different view of the Earth's surface combining different bands to make water bodies more obvious. This index can be used to identify flooded areas as well as heavily saturated areas.Water maps use a beta PlanetScope Flood Mapping system created in partnership between NASA GSFC and the Dartmouth Flood Observatory at the University of Colorado. This product distinguishes water covered pixels from non-water covered pixels, using an adaptive NDWI dynamic thresholding approach. Details are in a pending publication.Processed water map raster data include clouds (1), areas not covered by water (2), and water (3).Suggested Use:NDVI: NDVI is commonly used to distinguish healthy/active vegetation from unhealthy/dormant vegetation.NDWI: Thresholding of NDVI is one technique used to distinguish surfaces covered by water from surfaces not covered by water.Water Maps: This product shows water that is detected by the sensor with different colors indicating different land cover/land use classificationsSatellite/Sensor:PlanetScope. This product includes copyrighted material of Planet Labs PBC. All rights reserved.Resolution:3 metersCredits:NASA Disasters Program, Dartmouth Flood Observatory at the University of Colorado, NASA MSFC, NASA GSFC. NASA-GSFC PI: Frederick PolicelliPlanetScope: Includes copyrighted material of Planet Labs PBC. All rights reserved.Esri REST Endpoint:See URL to the right.WMS Endpoint:TBD (waiting on public)
Subject: Planet Water (Goddard Space Flight Center/Dartmouth Flood Observatory), NDVI, and NDWI Maps for the US Severe Weather April 2025.
Category:
Keywords: NASA,NASA Disasters Program,Tornado,Tornadoes,Arkansas,Tennessee,Alabama,Louisiana,Severe Weather,Planet,NDVI,NDWI,Flooding,Floods,Flood
AntialiasingMode: Fast
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
Child Resources:
Info
Dynamic Layer
Supported Operations:
Export Map
Identify
QueryLegends
QueryDomains
Find
Return Updates