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.
python snap satellite recurrent-neural-networks remote-sensing lstm gru water-quality satellite-imagery water cdec google-earth-engine bayesian-optimization hybrid-model long-short-term-memory evaporation sentinel-2 gated-recurrent-units era5 water-engineering
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Updated
Aug 17, 2026 - Python