Soil Moisture Retrieval Using Microwave Remote Sensing Data and a Deep Belief Network in the Naqu Region of the Tibetan Plateau
Soil moisture plays an important role in the land surface model. In this paper, a method of using VV polarization Sentinel-1 SAR and Landsat optical data to retrieve soil moisture data was proposed by combining the water cloud model (WCM) and the deep belief network (DBN). Since the simple combinati...
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Autores principales: | , , , , |
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Formato: | article |
Lenguaje: | EN |
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MDPI AG
2021
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Acceso en línea: | https://doaj.org/article/bf9d0c331ef5403db51de6dedb27aa71 |
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