Modeling Soil Moisture from Multisource Data by Stepwise Multilinear Regression: An Application to the Chinese Loess Plateau

This study aims to integrate multisource data to model the relative soil moisture (RSM) over the Chinese Loess Plateau in 2017 by stepwise multilinear regression (SMLR) in order to improve the spatial coverage of our previously published RSM. First, 34 candidate variables (12 quantitative and 22 dum...

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Principais autores:	Lina Yuan, Long Li, Ting Zhang, Longqian Chen, Weiqiang Liu, Sai Hu, Longhua Yang
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-04-01
Series:	ISPRS International Journal of Geo-Information
Assuntos:	relative soil moisture Chinese Loess Plateau stepwise multilinear regression dummy variables
Acceso en liña:	https://www.mdpi.com/2220-9964/10/4/233
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