This study developed a stereoscopic network monitoring system that integrates satellite-based remote sensing， unmanned aerial vehicle（UAV） observations， and ship-based surveys to monitor the water quality of Dianshan Lake. The spatial distribution of water quality parameters was monitored and analyzed. The results demonstrated the followings：（1） The constructed water quality inversion model achieved high precision， with root mean square errors（RMSE） of 0.019 1 mg/L（R²=0.64，P<0.001） for total phosphorus and 0.036 0 mg/L（R²=0.83，P<0.001） for total nitrogen concentrations.（2） Characteristics of spatial distribution of water quality： The total phosphorus and ammonia nitrogen in Dianshan Lake are higher in the northwest and lower in the central， eastern， and western regions; the Chlorophyll-a shows a spatial distribution characterized by higher levels in the north and east， lower levels in the south and west， and higher concentrations along the shores and lower in the center.（3） Trace analysis using a generalized linear mixing model revealed significant impacts from inflowing tributaries， motorized boats， farmland， and aquatic plants on the distribution patterns of total phosphorus， ammonia-nitrogen concentrations， and chlorophyll-a concentration， with inflowing tributaries having the most substantial influence. These research findings provide essential references and scientific foundations for stereoscopic network monitoring of the water environment in Shanghai.