A Novel Framework for Improving Soil Organic Carbon Mapping Accuracy by Mining Temporal Features of Time-Series Sentinel-1 Data

A Novel Framework for Improving Soil Organic Carbon Mapping Accuracy by Mining Temporal Features of Time-Series Sentinel-1 Data

Digital soil organic carbon (SOC) mapping is used for ecological protection and addressing global climate change. Sentinel-1 (S-1) microwave radar remote sensing data offer critical insights into SOC dynamics through tracking variations in soil moisture and vegetation characteristics. Despite extens...

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Bibliographic Details
Main Authors:	Zhibo Cui, Bifeng Hu, Songchao Chen, Nan Wang, Defang Luo, Jie Peng
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Land
Subjects:	soil organic carbon Sentinel-1 optimal monitoring period convolutional neural network–long short-term memory
Online Access:	https://www.mdpi.com/2073-445X/14/4/677
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