PDF(Pubmed)
Abstract：
Trophic state index (TSI) serves as a key indicator for quantifying and understanding the lake eutrophication, which has not been fully explored for long-term water quality monitoring, especially for small and medium inland waters. Landsat satellites offer an effective complement to facilitate the temporal and spatial monitoring of multi-scale lakes. Landsat surface reflectance products were utilized to retrieve the annual average TSI for 2693 lakes over 1 km2 in China from 1984 to 2023. Our method first distinguishes lake types by pixels with a decision tree and then derives relationships between trophic state and algal biomass index. Validation with public reports and existing datasets confirmed the good consistency and reliability. The dataset provides reliable annual TSI results and credible trends for lakes under different area scales, which can serve as a reference for further research and provide convenience for lake sustainable management.
摘要：
营养状态指数（TSI）是量化和理解湖泊富营养化的关键指标，尚未充分探索长期水质监测，特别是内陆中小型水域。Landsat卫星为促进多尺度湖泊的时空监测提供了有效的补充。利用Landsat表面反射率产品检索了1984年至2023年中国1平方公里以上2693个湖泊的年平均TSI。我们的方法首先用决策树通过像素区分湖泊类型，然后得出营养状态与藻类生物量指数之间的关系。通过公开报告和现有数据集的验证证实了良好的一致性和可靠性。该数据集为不同面积尺度下的湖泊提供了可靠的年度TSI结果和可信的趋势，为进一步研究提供参考,为湖泊可持续管理提供便利。
