Shallow Water Bathymetry Inversion Based on Machine Learning Using ICESat-2 and Sentinel-2 Data

Shallow Water Bathymetry Inversion Based on Machine Learning Using ICESat-2 and Sentinel-2 Data

Shallow water bathymetry is essential for maritime navigation, environmental monitoring, and coastal management. While traditional methods such as sonar and airborne LiDAR provide high accuracy, their high cost and time-consuming nature limit their application in remote and sensitive areas. Satellit...

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Bibliographic Details
Main Authors: Mengying Ye, Changbao Yang, Xuqing Zhang, Sixu Li, Xiaoran Peng, Yuyang Li, Tianyi Chen
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
ICESat-2
Sentinel-2
satellite-derived bathymetry
shallow water
Online Access:https://www.mdpi.com/2072-4292/16/23/4603
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