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Bathymetric mapping and estimation of water storage in a shallow lake using a remote sensing inversion method based on machine learning被引量：2
《International Journal of Digital Earth》2022年第1期789-812,共24页Hong Yang Hengliang Guo Wenhao Dai Bingkang Nie Baojin Qiao Liping Zhu 
supported by 2020 Science and technology project of innovation ecosystem construction,National Supercomputing Zhengzhou center-Research on Key Technologies of intelligent fine prediction based on big data analysis[grant number:201400210800];Second Tibetan Plateau Scientific Expedition and Research(STEP)[grant number:2019QZKK0202];the CAS Alliance of Field Observation Stations[grant number:KFJ-SW-YW038];CAS Strategic Priority Research Program:[Grant Number XDA19020303,XDA20020100];the Ministry of Science and Technology of China Project[grant number:2018YFB05050000];National Natural Science Foundation of China project[grant number:41831177,41901078].
Accurate lake depth mapping and estimation of changes in water level and water storage are fundamental significance for understanding the lake water resources on the Tibetan Plateau.In this study,combined with satelli...
关键词：Remote sensing inversion lake bathymetry Sentinel-2 machine learning(ML) random forest(RF) water storage 
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