The Use of Remote Sensing in Hydrology

© 2019 by the authors; CC BY license

water management; drought monitoring; long-term change detection; anthropogenic activities; wetland identification; SAR; radar; deserts; palaeohydrography; Sahara; Gobi; CryoSat-2; radar altimetry; inland water altimetry; hydrology; water height; remote sensing; size; surface; volume; thermokarst; carbon; metal; Ganges-Brahmaputra; surface water storage; multi-satellite; floodplains; water cycle; GRACE; water budget equation; atmospheric reanalyses; numerical weather prediction models; precipitation minus evapotranspiration; COSMO-REA6; water fraction extent; L-band; Amazon Basin; SAR; Sentinel-1; surface water monitoring; neural network; Mekong Delta; Landsat-8; MODIS; satellite altimetry; CryoSat-2; water level; lakes; rice mapping; Sentinel-1 A; SAR time series; remote sensing; remote sensing; hydrology; drones; environmental forensics; evapotranspiration; GRACE; land surface model; water balance; energy balance; Australia; rainfall variability; El Niño events; in situ data; TRMM; Ecuadorian Pacific slope and coast; Esmeraldas and Guayas basins