Exploring the Main Driving Factors for Terrestrial Water Storage in China Using Explainable Machine Learning

Exploring the Main Driving Factors for Terrestrial Water Storage in China Using Explainable Machine Learning

Terrestrial water storage (TWS) is a critical component of the hydrological cycle and plays a key role in regional water resource management. The launch of the Gravity Recovery and Climate Experiment (GRACE) satellite mission in 2002 has provided precise measurements of TWS, enabling systematic inve...

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Bibliographic Details
Main Authors: Xinjing Ma, Haijun Huang, Jinwen Chen, Qiang Yu, Xitian Cai
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Remote Sensing
Subjects:
terrestrial water storage
machine learning
China
SHAP
Online Access:https://www.mdpi.com/2072-4292/17/12/2078
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