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Service Description: Date of Images:
Post-Event: Jul 11, 2025 at 00:35 UTC (July 10, 2025, 7:35:12 PM CDT)
Pre-Event: Jun 05, 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/texas_flood_202507/s1_flooddetection/MapServer/WMSServer
s1_flooddetection
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Description: Date of Images:Post-Event: Jul 11, 2025 at 00:35 UTC (July 10, 2025, 7:35:12 PM CDT)Pre-Event: Jun 05, 2025 Date 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/texas_flood_202507/s1_flooddetection/MapServer/WMSServer
Service Item Id: d95b9664f7a84eb885c85bf71144c364
Copyright Text: Dr. Khuong H. Tran (Khuong.tran@nasa.gov)
Spatial Reference:
4326
(4326)
Single Fused Map Cache: false
Initial Extent:
XMin: -99.54236891105552
YMin: 29.799237613919672
XMax: -98.95106185843667
YMax: 30.26733277836491
Spatial Reference: 4326
(4326)
Full Extent:
XMin: -99.75764280688763
YMin: 29.781397456772435
XMax: -98.91771801623588
YMax: 30.290742222868204
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: Map
Author:
Comments: Date of Images:Post-Event: Jul 11, 2025 at 00:35 UTC (July 10, 2025, 7:35:12 PM CDT)Pre-Event: Jun 05, 2025 Date 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/WMSServer
Subject: Flood Detection using Sentinel-1 Synthetic Aperture Radar for the Flooding in Texas July 2025.
Category:
Keywords: Sentinel-1,USA,New Mexico,NASA,NASA Disasters Program,ESA,SAR,Synthetic Aperture Radar,Copernicus,Texas,Kerrville
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
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