Remote Sensing of the Aquatic Environments (MDPI - Multidisciplinary Digital Publishing Institute, 2021)
Keywords: algal bloom; altimetry data; ammonia detection; aquaculture; aquaculture ponds; Arctic; CDOM absorbance; Chaohu Lake; chlorophyll; chlorophyll-a; convolutional neural network; coral reefs; Cryosat-2; deep learning; DOC; Doppler Centroid Anomaly; drone applications; drought; Earth Sciences, Geography, Environment, Planning; ecohydrology; ecological status class of lakes; empirical models; estuarial and coastal areas; European Union Water Framework Directive (2000/60/EC); extraction; French Alps; Geography; geostationary satellite; groundwater; HAB; hydrodynamic model; hydrodynamics; inland lake; inland waters; lake level; Lake Tana; Landsat; linear spectral unmixing; MODIS; mountain temporary pools; multi-source remote sensing; multiple regression; multitemporal; NDVI; ocean color; optical data; optical fiber coating; optical remote sensing; optical sensing; Pacific lagoons; Paldang Reservoir; photogrammetry; physical limnology; Planetscope; polymer optical fibers; Rana temporaria; Reference, Information and Interdisciplinary subjects; remote sensing; Research and information: general; SAR; satellite; sediment; self-attention; sensors; sentinel; Sentinel-2; Sentinel-3; shallow lakes; shelf seas; spectroscopic indices; surface water; synergy; thermal infrared; turbid water; turbidity; Ulva; water hyacinth; water level; water quality parameters; waterbody temperature