The information of the lake area， water level and storage are important hydrological parameters， which plays animportant role in water resources allocation， planning and disaster warning. In summarizing the existing parameters estimationmethods based on remote sensing technology， this paper proposed a technical framework for hydrological parameters measuring andcalculation， based on multi -source remote sensing data. Firstly， using lake automatic extraction algorithm， water body wasextracted from multi-temporal remote sensing images. Secondly， ICESat laser point cloud data were adopted to estimate water levelelevation. Thirdly， according to the lake area， water level and lake underwater terrain， the lake dynamic volume was calculated.Finally， through the recent lake water area， level and storage， a ‘area-level-storage’ model was built for the Bosten lake. Theexperiments show that this method retrieves the hydrological characteristic parameters highly consistent with the gauged data fromthe hydrometry stations， and the result has high reliability. This method reflects the merits of remote sensing technology in thewater resources survey and monitoring quantitatively. It provides a new technical measurement for local water resources planningand monitoring.