河流湖库遥感反演监测与人类活动识别服务

利用遥感卫星对全国主要大型湖库及40米宽以上的河流进行监控，结合水污染光学特征反演叶绿素a、悬浮物浓度、COD、总磷、总氮、水温、水华等指标分布情况，并识别其周边面源污染影响，如土地分类（林地、耕地、草地）、违规建筑物等数据。为科研机构、生态环境、水利及河流湖库监管部门提供数据支撑及监测服务。

This dataset uses remote sensing satellites to monitor major large lakes, reservoirs and rivers with a width of 40 meters or more across the country. Based on the optical characteristics of water pollution, it retrieves the distribution of water quality indicators including chlorophyll-a, suspended solids concentration, COD, total phosphorus, total nitrogen, water temperature and algal blooms. It also identifies data related to the impacts of non-point source pollution in their surrounding areas, such as land classification (woodland, cultivated land, grassland) and illegal buildings. The dataset provides data support and monitoring services for scientific research institutions, ecological environment authorities, water conservancy authorities and river and lake reservoir supervision departments.