Bathymetric Inversion and Mapping of Two Shallow Lakes Using Sentinel-2 Imagery and Bathymetry Data in the Central Tibetan Plateau

High-accuracy lake bathymetry and mapping are crucial for estimating lake water storage on the Tibetan Plateau (TP). In this article, we constructed traditional empirical (TE) models and machine learning (ML) models to compare the prediction accuracy and remote sensing bathymetric mapping performanc...

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Detalles Bibliográficos

Principais autores:	Hong Yang, Jianting Ju, Hengliang Guo, Baojin Qiao, Bingkang Nie, Liping Zhu
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2022-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Bathymetric mapping machine learning (ML) remote sensing depth inversion Sentinel-2 shallow lake
Acceso en liña:	https://ieeexplore.ieee.org/document/9780220/
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