Physics-informed neural networks with band-ratio-constrained loss functions for satellite-based chlorophyll-a retrieval in optically complex inland waters
Fields of Study & Subjects
Water Quality Monitoring Technologies
Remote-Sensing Image Classification
Hydrological Forecasting Using AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 February 2026
- Document type
- Dataset