Downscaling of SMAP Soil Moisture Data by Using a Deep Belief Network

Downscaling of SMAP Soil Moisture Data by Using a Deep Belief Network

The spatial resolution of current soil moisture (SM) products is generally low, consequently limiting their applications. In this study, a deep belief network-based method (DBN) was used to downscale the Soil Moisture Active Passive (SMAP) L4 SM product. First, the factors affecting soil surface moi...

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Bibliographic Details
Main Authors: Yulin Cai, Puran Fan, Sen Lang, Mengyao Li, Yasir Muhammad, Aixia Liu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
deep learning
deep belief network
soil moisture
SMAP L4
Shandian River Basin
Online Access:https://www.mdpi.com/2072-4292/14/22/5681

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