SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data
Abstract Accurate and continuous monitoring of soil moisture (SM) is crucial for a wide range of applications in agriculture, hydrology, and climate modelling. In this study, we present a novel machine learning (ML) based framework for generating a continuously updated, multilayer global SM dataset:...
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| Main Authors: | Yuhan Liu, Yuanyuan Zha, Gulin Ran, Yonggen Zhang, Liangsheng Shi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05511-w |
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