{ "culture": "en-US", "name": "sentinel1_flood", "guid": "50B8C611-66FB-4891-904C-2EBD22AFC310", "catalogPath": "", "snippet": "Flood Detection using Sentinel-1 Synthetic Aperture Radar in semiarid areas in New Mexico.", "description": "
Date of Images:<\/span><\/p> Post-Event: Jun 26, 2025 at 00:59 UTC (about 6:59PM MT)<\/span> Date of Next Image:<\/span><\/p> July 2, 2025<\/span><\/p> Summary:<\/span><\/p> We developed a rapid-response workflow to map flooded areas during this emergency event using multi-temporal Sentinel-1 SAR data. Sentinel-1\u2019s 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.<\/span><\/p> To highlight flood-induced surface changes, we computed the differenced co-polarized VV backscatter (dVV = VV_post \u2013 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. <\/span><\/p> Suggested Use:<\/span><\/p> The final output is a binary raster product, where pixels with a value of 1 represent flooded areas (dark blue color).<\/span><\/p> Satellite/Sensor:<\/span><\/p> Sentinel-1 /Synthetic Aperture Radar (SAR)<\/span><\/p> Resolution:<\/span><\/p> 10 meters<\/span><\/p> Credits:<\/span><\/p> Dr. Khuong H. Tran (<\/span>Khuong.tran@nasa.gov<\/a>)<\/span><\/p> Esri REST Endpoint:<\/span><\/p> See URL section on right side of page<\/span><\/p> WMS Endpoint:<\/span><\/span><\/span><\/p>
Pre-Event: Jun 20, 2025<\/span><\/p>