DISASTERS_202512_FLOOD_WA/2512_sentinel1_FloodDetection (MapServer)

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Service Description: <div style='text-align:Left;'>Dates of Images:Post-Event: Dec 10, 2025Pre-Event: Dec 7, 2025Date of Next Image:Dec 11, 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).A permanent water body layer and a binary layer incorporating land cover are also included.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:<a href='https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202512_FLOOD_WA/sentinel1_FloodDetection/MapServer/WMSServer' target='_blank'>https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202512_FLOOD_WA/sentinel1_FloodDetection/MapServer/WMSServer</a></div>

Map Name: sentinel1_FloodDetection

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Description: Dates of Images:Post-Event: Dec 10, 2025Pre-Event: Dec 7, 2025Date of Next Image:Dec 11, 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).A permanent water body layer and a binary layer incorporating land cover are also included.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://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202512_FLOOD_WA/sentinel1_FloodDetection/MapServer/WMSServer

Service Item Id: 0401121c8c72409c9d34c36bc41216f2

Copyright Text: Dr. Khuong H. Tran (Khuong.tran@nasa.gov)

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