A downscaling model for derivation of 3-D flood products from VIIRS imagery and SRTM/DEM

As one of the costliest and most frequent natural disasters, flood is a major threat to human lives property. Flood forecasting, simulation, monitoring plays an important role in disaster relief mitigation. With support from JPSS (Joint Polar Satellite System) Proving Ground Risk Reduction (PGRR) Program, VIIRS (Visible Infrared Imaging Radiometer Suite) global 375-m products near real-time, daily composition, 5-day composition have been developed derived extent represented water fractions Suomi-NPP NOAA-20. The shown good quality for spatial distribution floodwater. However, moderate resolution limiting factor when obtaining inundation detail. Moreover, no vertical information on floodwater included products. Based water’s self-leveling nature, it feasible construct structure using high-resolution Digital Elevation Model (DEM) such as 30-m Shuttle Radar Topography Mission (SRTM)/DEM through downscaling process (Li et al., 2013). impact factors including topography, land cover, tree river network watershed, has integrated into model called Downscaling Model. By SRTM/DEM, can downscale fraction depth These include both horizontal directions thus are 3-D this study. This paper presents comprehensive introduction with results evaluated against satellite images Landsat-8 Operational Land Imager (OLI), Sentinel-2, GeoEye, aerial photos, gauge observations. Evaluation indicate reliable promising performance downscaled A routine system set up at Cooperative Institute Studies (CIMSS) University Wisconsin-Madison generate experimental over Continental USA (CONUS). routinely generated maps available at: https://floods.ssec.wisc.edu/?products=VIIRS-3Dflood .