Water quality parameters retrieval and nutrient status evaluation based on machine learning methods and Sentinel- 2 imagery: a case study of the Hongjiannao Lake
Water quality parameters retrieval and nutrient status evaluation based on machine learning methods and Sentinel- 2 imagery: a case study of the Hongjiannao Lake
Ying Liu,Zhixiong Wang,Hui Yue
2025 · DOI: 10.1007/s10661-025-13999-3
Environmental Monitoring & Assessment · 2 Citations
TLDR
The results showed that the optimal model, SHAP-RF, has better retrieval accuracy for WQPs, and an integrated nutrient state index was established by utilizing the inversion results of Chl-a, COD, TN, TP, and NH3-N, along with the entropy weight method to assess the nutrient status level.