Spatiotemporal variation and key environmental drivers of Chlorophyll-a in Qionghai Lake: insights from Sentinel-2 satellite and machine learning models
Spatiotemporal variation and key environmental drivers of Chlorophyll-a in Qionghai Lake: insights from Sentinel-2 satellite and machine learning models
Wei Zheng,Luying Chen,4 Authors,Xiaoyan Tang
2025 · DOI: 10.1007/s43621-025-02379-z
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TLDR
Key environmental drivers of Chl-a and algal cell density included total phosphorus, the TN/TP ratio, and suspended solids, which underscore the potential of remote sensing and machine learning for accurate, long-term eutrophication assessments in inland lakes.
