Flood Depth Estimation during Hurricane Harvey Using Sentinel-1 and UAVSAR Data

In August 2017, Hurricane Harvey was one of the most destructive storms to make landfall in Houston area, causing loss life and property. Temporal spatial changes depth floodwater extent inundation form an essential part flood studies. This work estimates from LiDAR DEM (light detection ranging digital elevation model) using data Synthetic Aperture Radar (SAR)–Unmanned Aerial Vehicle (UAVSAR) satellite sensor—Sentinel-1. The showed a decrease between 29–30 5 September 2017. depths estimated were compared with USGS gauge correlation (R2) greater than 0.88. use Sentinel-1 UAVSAR resulted daily temporal repeat, which helped document area water depth. These observations are significant for efficient disaster management assist relief organizations by providing spatially precise information affected areas.