Resolving inherent constraints in eutrophication monitoring of small lakes using multi-source satellites and machine learning
Resolving inherent constraints in eutrophication monitoring of small lakes using multi-source satellites and machine learning
Wei Si,Zhixiong Chen,6 Authors,Fei Zhang
2025 · DOI: 10.1038/s41545-025-00525-8
npj Clean Water · 4 Citations
TLDR
This study developed a scenario-aware modeling framework for the trophic level index (TLI) by integrating multi-source imagery data from Sentinel-2, GF-1, HJ-2, and PlanetScope, using Dongqian Lake in Zhejiang Province, China as the case study to provide a reference basis for detailed remote sensing monitoring and management of eutrophication in small lakes.