Bathymetric mapping and estimation of water storage in a shallow lake using a remote sensing inversion method based on machine learning

Bathymetric mapping and estimation of water storage in a shallow lake using a remote sensing inversion method based on machine learning

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 satellite images and bathymetric data, we comprehensively evaluate the accuracy of a mul...

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Bibliographic Details
Main Authors: Hong Yang, Hengliang Guo, Wenhao Dai, Bingkang Nie, Baojin Qiao, Liping Zhu
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:International Journal of Digital Earth
Subjects:
remote sensing inversion
lake bathymetry
sentinel-2
machine learning (ml)
random forest (rf)
water storage
Online Access:http://dx.doi.org/10.1080/17538947.2022.2069873

Internet

http://dx.doi.org/10.1080/17538947.2022.2069873

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