Automated quantification of surface water fraction using Landsat and Sentinel-2 data

Ben DeVries1, Chengquan Huang1, Wenli Huang1, John W. Jones2, Megan W Lang3 and Irena F Creed4, (1)University of Maryland, Department of Geographical Sciences, College Park, MD, United States, (2)USGS Eastern Geographic Science Center, Reston, VA, United States, (3)United States Fish and Wildlife Survey, National Wetlands Inventory Program, Falls Church, VA, United States, (4)University of Western Ontario, Department of Biology, London, ON, Canada
Back to: Remote Sensing Applications for Water Resources Management, Including Irrigation, Droughts, Floods, and Associated Water Cycle Extremes II