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Service Description: Date of Images:
Post-Event: Jun 26, 2025 at 00:59 UTC (about 6:59PM MT)
Pre-Event: Jun 20, 2025
Date of Next Image:
July 2, 2025
Summary:
We developed a rapid-response workflow to map flooded areas during this emergency event using multi-temporal Sentinel-1 SAR data. Sentinel-1’s SAR backscatter characteristics are particularly effective for detecting surface water: water surfaces typically exhibit low backscatter, whereas non-water areas show higher backscatter. Leveraging this physical property, we distinguished between water and non-water surfaces from both pre- and post-flood observations.
To highlight flood-induced surface changes, we computed the differenced co-polarized VV backscatter (dVV = VV_post – VV_pre). This change detection technique enhances the visibility of newly inundated areas. We then applied a simple threshold to the dVV image to separate flooded from non-flooded areas.
Suggested Use:
The final output is a binary raster product, where pixels with a value of 1 represent flooded areas (dark blue color).
Satellite/Sensor:
Sentinel-1 /Synthetic Aperture Radar (SAR)
Resolution:
10 meters
Credits:
Dr. Khuong H. Tran (Khuong.tran@nasa.gov)
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
https://maps.disasters.nasa.gov/ags03/services/NM_FIre_202506/sentinel1_flood/MapServer/WMSServer
Data Download:
https://maps.disasters.nasa.gov/download/gis_products/event_specific/2025/newmexico_wildfires_202506/sentinel1_flood/
sentinel1_flood
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Description: Date of Images:Post-Event: Jun 26, 2025 at 00:59 UTC (about 6:59PM MT)Pre-Event: Jun 20, 2025Date of Next Image:July 2, 2025Summary:We developed a rapid-response workflow to map flooded areas during this emergency event using multi-temporal Sentinel-1 SAR data. Sentinel-1’s SAR backscatter characteristics are particularly effective for detecting surface water: water surfaces typically exhibit low backscatter, whereas non-water areas show higher backscatter. Leveraging this physical property, we distinguished between water and non-water surfaces from both pre- and post-flood observations.To highlight flood-induced surface changes, we computed the differenced co-polarized VV backscatter (dVV = VV_post – VV_pre). This change detection technique enhances the visibility of newly inundated areas. We then applied a simple threshold to the dVV image to separate flooded from non-flooded areas. Suggested Use:The final output is a binary raster product, where pixels with a value of 1 represent flooded areas (dark blue color).Satellite/Sensor:Sentinel-1 /Synthetic Aperture Radar (SAR)Resolution:10 metersCredits:Dr. Khuong H. Tran (Khuong.tran@nasa.gov)Esri REST Endpoint:See URL section on right side of pageWMS Endpoint:https://maps.disasters.nasa.gov/ags03/services/NM_FIre_202506/sentinel1_flood/MapServer/WMSServerData Download:https://maps.disasters.nasa.gov/download/gis_products/event_specific/2025/newmexico_wildfires_202506/sentinel1_flood/
Service Item Id: 66dda7ec979a4778bae672dc0885f840
Copyright Text: Dr. Khuong H. Tran (Khuong.tran@nasa.gov)
Spatial Reference:
4326
(4326)
Single Fused Map Cache: false
Initial Extent:
XMin: -104.45585781282715
YMin: 33.3707097344977
XMax: -104.33879462589387
YMax: 33.44666764807656
Spatial Reference: 4326
(4326)
Full Extent:
XMin: -105.35405719542383
YMin: 32.51874379054144
XMax: -103.50972608559805
YMax: 34.08881924412554
Spatial Reference: 4326
(4326)
Units: esriDecimalDegrees
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: sentinel1_flood
Author:
Comments: Date of Images:Before the flood event: Jun 20, 2025After the flood event: Jun 26, 2025Date of Next Image:July 2, 2025Summary:We developed a rapid-response workflow to map flooded areas during this emergency event using multi-temporal Sentinel-1 SAR data. Sentinel-1’s SAR backscatter characteristics are particularly effective for detecting surface water: water surfaces typically exhibit low backscatter, whereas non-water areas show higher backscatter. Leveraging this physical property, we distinguished between water and non-water surfaces from both pre- and post-flood observations.To highlight flood-induced surface changes, we computed the differenced co-polarized VV backscatter (dVV = VV_post – VV_pre). This change detection technique enhances the visibility of newly inundated areas. We then applied a simple threshold to the dVV image to separate flooded from non-flooded areas. Suggested Use:The final output is a binary raster product, where pixels with a value of 1 represent flooded areas (dark blue color).Satellite/Sensor:Sentinel-1 /Synthetic Aperture Radar (SAR)/10 mResolution:10 metersCredits:Dr. Khuong H. Tran (Khuong.tran@nasa.gov)Esri REST Endpoint:See URL section on right side of pageWMS Endpoint:Data Download:https://maps.disasters.nasa.gov/download/gis_products/event_specific/2025/newmexico_wildfires_202506/sentinel1_flood/
Subject: Flash Flood Detection using Sentinel-1 Synthetic Aperture Radar in semiarid areas in New Mexico.
Category:
Keywords: Sentinel-1,USA,New Mexico,NASA,NASA Disasters Program,ESA,SAR,Synthetic Aperture Radar,Copernicus,Roswell
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TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
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