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<resTitle>Flood detection and impact assessment using Sentinel-1 Synthetic Aperture Radar for the Texas Floods July 2026</resTitle>
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<idPurp>Flood detection and impact assessment using Sentinel-1 Synthetic Aperture Radar for the Texas Floods July 2026</idPurp>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;p style='margin:0 0 11 0;'&gt;&lt;span&gt;&lt;b&gt;Dates of Images:&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p style='margin:0 0 11 0;'&gt;&lt;span&gt;Post-Event: July 18, 2026&lt;/span&gt;&lt;/p&gt;&lt;p style='margin:0 0 11 0;'&gt;&lt;span&gt;Pre-Event: &lt;/span&gt;May 1 to July 1, 2026&lt;/p&gt;&lt;p&gt;&lt;span style='font-weight:bold;'&gt;Date of Next Image:&lt;/span&gt;&lt;/p&gt;&lt;p style='margin:0 0 11 0;'&gt;&lt;span&gt;&lt;span&gt;Unknown&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style='font-weight:bold;'&gt;Summary:&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;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.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;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.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style='font-weight:bold;'&gt;Suggested Use:&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The final output is a binary raster product, where pixels with a value of 1 represent flooded areas (dark blue color).&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;A permanent water body layer and a binary layer incorporating land cover are also included.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style='font-weight:bold;'&gt;Satellite/Sensor:&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Sentinel-1 /Synthetic Aperture Radar (SAR)&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;&lt;b&gt;Resolution:&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;10 meters&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;&lt;b&gt;Credits:&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Dr. Khuong H. Tran (Khuong.tran@nasa.gov)&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;&lt;b&gt;Esri REST Endpoint:&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;See URL section on right side of page&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;</idAbs>
<idCredit>Dr. Khuong H. Tran (Khuong.tran@nasa.gov)</idCredit>
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