Sentinel-1 Spatiotemporal Simulation Using Convolutional LSTM for Flood Mapping - Ulloa, Noel Ivan; Yun, Sang-Ho; Chiang, Shou-Hao; Furuta, Ryoichi (Remote sensing (Basel, Switzerland), 2022)
Keywords: Agricultural land; Australia; Brazil; Change detection; convolutional LSTM; Crop growth; Deep learning; Expected values; Extreme weather; Flood mapping; flood proxy map; Flooding; Floods; Land cover; landscapes; Landslides & mudslides; Learning; Long short-term memory; Machine learning; Mapping; Mozambique; Neural networks; Precipitation; Radar imaging; Remote sensing; Satellites; Sentinel 1; Simulation; spatiotemporal simulation; Synthetic aperture radar; Time series; time series analysis; topography; Urban environments; Brazil; Australia; Mozambique