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: 3,727 (including HTML, PDF, and XML)
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2,699
924
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3,727
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136
HTML: 2,699
PDF: 924
XML: 104
Total: 3,727
Supplement: 224
BibTeX: 95
EndNote: 136
Views and downloads (calculated since 08 Jun 2023)
Cumulative views and downloads
(calculated since 08 Jun 2023)
Total article views: 2,395 (including HTML, PDF, and XML)
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1,803
522
70
2,395
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HTML: 1,803
PDF: 522
XML: 70
Total: 2,395
Supplement: 127
BibTeX: 83
EndNote: 123
Views and downloads (calculated since 19 Oct 2023)
Cumulative views and downloads
(calculated since 19 Oct 2023)
Total article views: 1,332 (including HTML, PDF, and XML)
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896
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34
1,332
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HTML: 896
PDF: 402
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Total: 1,332
Supplement: 97
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: 3,727 (including HTML, PDF, and XML)
Thereof 3,692 with geography defined
and 35 with unknown origin.
Total article views: 2,395 (including HTML, PDF, and XML)
Thereof 2,390 with geography defined
and 5 with unknown origin.
Total article views: 1,332 (including HTML, PDF, and XML)
Thereof 1,302 with geography defined
and 30 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...
