Departamento de Ingeniería Topográfica y Cartográfica, E.T.S.I. en Topografía, Geodesia y Cartografía, Universidad Politécnica de Madrid, Campus Sur, A-3, Km 7, 28031 Madrid, Spain
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7522 NH Enschede, the Netherlands
Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of the Ministry of Education, School of Water and Environment, Chang'an University, Xi'an 710054, China
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Total article views: 3,616 (including HTML, PDF, and XML)
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2,637
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3,616
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134
HTML: 2,637
PDF: 877
XML: 102
Total: 3,616
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BibTeX: 94
EndNote: 134
Views and downloads (calculated since 08 Jun 2023)
Cumulative views and downloads
(calculated since 08 Jun 2023)
Total article views: 2,306 (including HTML, PDF, and XML)
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1,754
484
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2,306
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HTML: 1,754
PDF: 484
XML: 68
Total: 2,306
Supplement: 125
BibTeX: 82
EndNote: 121
Views and downloads (calculated since 19 Oct 2023)
Cumulative views and downloads
(calculated since 19 Oct 2023)
Total article views: 1,310 (including HTML, PDF, and XML)
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883
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34
1,310
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HTML: 883
PDF: 393
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Total: 1,310
Supplement: 93
BibTeX: 12
EndNote: 13
Views and downloads (calculated since 08 Jun 2023)
Cumulative views and downloads
(calculated since 08 Jun 2023)
Viewed (geographical distribution)
Total article views: 3,616 (including HTML, PDF, and XML)
Thereof 3,584 with geography defined
and 32 with unknown origin.
Total article views: 2,306 (including HTML, PDF, and XML)
Thereof 2,303 with geography defined
and 3 with unknown origin.
Total article views: 1,310 (including HTML, PDF, and XML)
Thereof 1,281 with geography defined
and 29 with unknown origin.
Using machine learning, we estimated global surface soil moisture (SSM) to aid in understanding water, energy, and carbon exchange. Ensemble models outperformed individual algorithms in predicting SSM under different climates. The best-performing ensemble included K-neighbours Regressor, Random Forest Regressor, and Extreme Gradient Boosting. This is important for hydrological and climatological applications such as water cycle monitoring, irrigation management, and crop yield prediction.
Using machine learning, we estimated global surface soil moisture (SSM) to aid in understanding...
