Enhancing Water Depth Estimation from Satellite Images Using Online Machine Learning: A Case Study Using Baidu Easy-DL with Acoustic Bathymetry and Sentinel-2 Data

Enhancing Water Depth Estimation from Satellite Images Using Online Machine Learning: A Case Study Using Baidu Easy-DL with Acoustic Bathymetry and Sentinel-2 Data

Water depth estimation is paramount in various domains, including navigation, environmental monitoring, and resource management. Traditional depth measurement methods, such as bathymetry, can often be expensive and time-consuming, especially in remote or inaccessible areas. This study delves into th...

Full description

Bibliographic Details
Main Authors: Zhongqiang Wu, Shulei Wu, Haixia Yang, Zhihua Mao, Wei Shen
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Remote Sensing
Subjects:
big model
machine learning
Baidu Easy-DL
water depth
satellite-based bathymetry
Online Access:https://www.mdpi.com/2072-4292/15/20/4955

Similar Items

Similar Items