Lake surface water evaporation modeling using remote-sensed water quality parameters (CHL, CDOM, TSM, temperature) and Bayesian-optimized LSTM/GRU hybrids validated against Penman-FAO.
pythonsnapsatelliterecurrent-neural-networksremote-sensinglstmgruwater-qualitysatellite-imagerywatercdecgoogle-earth-enginebayesian-optimizationhybrid-modellong-short-term-memoryevaporationsentinel-2gated-recurrent-unitsera5water-engineering
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Updated
Aug 5, 2026 - Python