Using FengYun-3C VSM Data and Multivariate Models to Estimate Land Surface Soil Moisture

Using FengYun-3C VSM Data and Multivariate Models to Estimate Land Surface Soil Moisture

Land surface soil moisture (SM) monitoring is crucial for global water cycle and agricultural dryness research. The FengYun-3C Microwave Radiation Imager (FY-3C/MWRI) collects various Earth geophysical parameters, and the FY-3C/MWRI SM product (FY-3C VSM) has been widely applied to determine regiona...

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Bibliographic Details
Main Authors: Lei Wang, Shibo Fang, Zhifang Pei, Yongchao Zhu, Dao Nguyen Khoi, Wei Han
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
soil moisture estimation
remote sensing
fengyun-3c vsm product
quantile regression
multivariate linear regression
back-propagation neural network
Online Access:https://www.mdpi.com/2072-4292/12/6/1038

Internet

https://www.mdpi.com/2072-4292/12/6/1038

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