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Date of Images:<\/span><\/p> Post-Event: June 26, 2025 at 00:59 UTC (about 6:59PM MT)<\/span><\/p> Pre-Event: June 20, 2025<\/span><\/p> <\/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> <\/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> <\/p> Satellite/Sensor:<\/span><\/p> Sentinel-1 /Synthetic Aperture Radar (SAR)<\/span><\/p> <\/p> Resolution:<\/span><\/p> 10 meters<\/span><\/p> <\/p> Credits:<\/span><\/p> Dr. Khuong H. Tran (Khuong.tran@nasa.gov)<\/span><\/p> <\/p> Service URL:<\/span><\/p> <\/p> WMS Endpoint:<\/span><\/p> <\/div><\/div><\/div><\/p>",
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