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...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhihui Yang, Jun Zhao, Jialiang Liu, Yuanyuan Wen, Yanqiang Wang
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
Online Access:https://doaj.org/article/bf9d0c331ef5403db51de6dedb27aa71
Tags: Add Tag
No Tags, Be the first to tag this record!