Multiple Regression
Precipitation Gravimetry
Responses to Drought and Flooding
Random Sampling Method
Precipitation and Co-precipitation
Moisture Content and Bulking of Aggregate
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Updated: Sep 16, 2025

In Situ Soil Moisture Sensors in Undisturbed Soils
Published on: November 18, 2022
Yuhan Liu1, Yuanyuan Zha2, Gulin Ran1
1State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China.
一个新的机器学习框架,Soil Moisture via Random Forest Regression (SMRFR),可以生成一个全球性的多层土壤湿度数据集. 这一数据集准确地捕捉了土壤湿度动态,以改善农业和气候研究.
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