A Framework for High-Spatiotemporal-Resolution Soil Moisture Retrieval in China Using Multi-Source Remote Sensing Data

A Framework for High-Spatiotemporal-Resolution Soil Moisture Retrieval in China Using Multi-Source Remote Sensing Data

High-spatiotemporal-resolution and accurate soil moisture (SM) data are crucial for investigating climate, hydrology, and agriculture. Existing SM products do not yet meet the demands for high spatiotemporal resolution. The objective is to develop and evaluate a retrieval framework to derive SM esti...

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Bibliographic Details
Main Authors: Zhuangzhuang Feng, Xingming Zheng, Xiaofeng Li, Chunmei Wang, Jinfeng Song, Lei Li, Tianhao Guo, Jia Zheng
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Land
Subjects:
remote sensing
high spatiotemporal resolution
surface soil moisture
machine learning
deep learning
China
Online Access:https://www.mdpi.com/2073-445X/13/12/2189
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