Machine Learning Techniques for Downscaling SMOS Satellite Soil Moisture Using MODIS Land Surface Temperature for Hydrological Application

标题
Machine Learning Techniques for Downscaling SMOS Satellite Soil Moisture Using MODIS Land Surface Temperature for Hydrological Application
作者
关键词
Soil moisture, SMOS, Soil moisture deficit, Artificial intelligence, Support vector machine, Relevance vector machine, Artificial neural network, Generalized linear models
出版物
WATER RESOURCES MANAGEMENT
Volume 27, Issue 8, Pages 3127-3144
出版商
Springer Nature
发表日期
2013-04-17
DOI
10.1007/s11269-013-0337-9

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