Machine Learning Based Estimation of Coastal Bathymetry From ICESat-2 and Sentinel-2 Data

Machine Learning Based Estimation of Coastal Bathymetry From ICESat-2 and Sentinel-2 Data

Satellite technology is an efficient tool, which can provide valuable observations for coastal areas from space. Compared with conventional bathymetric surveying approaches, remote sensing-based shallow water bathymetry retrieval methods have been widely used in recent years. Various empirical model...

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Bibliographic Details
Main Authors: Nan Xu, Lin Wang, Han-Su Zhang, Shilin Tang, Fan Mo, Xin Ma
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Coastal
ICESat-2
satellite
sentinel-2
shallow water
topography
Online Access:https://ieeexplore.ieee.org/document/10306283/

Internet

https://ieeexplore.ieee.org/document/10306283/

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