Evaluation and improvement of temporal robustness and transfer performance of surface soil moisture estimated by machine learning regression algorithms

•Upper and lower limits on the accuracy of soil moisture estimation are evaluated using advanced regression models with multi-source data.•The three proposed strategies can improve the temporal transfer performance of soil moisture.•Soil parameters are crucial for the temporal robustness and transfe...

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Vydané v:	Computers and electronics in agriculture Ročník 217; s. 108518
Hlavní autori:	Jiaxin, Qian, Jie, Yang, Weidong, Sun, Lingli, Zhao, Lei, Shi, Chaoya, Dang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.02.2024
Predmet:	Machine learning regression SMAPVEX16-MB Surface soil moisture Temporal robustness Transfer learning Temporal robustness SMAPVEX16-MB Machine learning regression Transfer learning Surface soil moisture
ISSN:	0168-1699, 1872-7107
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