Disentangling Spectral and Environmental Controls on Inland River–Lake Water Quality Using Satellite Earth Observation-Driven Optimized Machine Learning
A parallel comparative river–lake modeling framework to estimate permanganate index, total phosphorus (TP), and total nitrogen (TN) by integrating satellite spectral data with climatic and land-use variables is developed, supporting more effective monitoring and management of water quality in complex river–lake systems...