摘要： Lake water quality monitoring has the potential to be improved through integrating detailed spatial information from new generation remote sensing satellites with high frequency observations from in situ optical sensors (WISPstation). We applied this approach for Lake Trasimeno with the aim of increasing knowledge of phytoplankton dynamics at di?erent temporal and spatial scales. High frequency chlorophyll-a data from the WISPstation was modeled using non-parametric multiplicative regression. The ‘day of year’ was the most important factor, re?ecting the seasonal progression of a phytoplankton bloom from July to September. In addition, weather factors such as the east–west wind component were also signi?cant in predicting phytoplankton seasonal and diurnal patterns. Sentinel 3-OLCI and Sentinel 2-MSI satellites delivered 42 images in 2018 that successfully mapped the spatial and seasonal change in chlorophyll-a. The potential in?uence of localized in?ows in contributing to increased chlorophyll-a in mid-summer was visualized. The satellite data also allowed an estimation of quality status at a much ?ner scale than traditional manual methods. Good correspondence was found with manually collected ?eld data but more signi?cantly, the greatly increased spatial and temporal resolution provided by satellite and WISPstation sensors clearly o?ers an unprecedented resource in the research and management of aquatic resources.