A Study of Spatial Soil Moisture Estimation Using a Multiple Linear Regression Model and MODIS Land Surface Temperature Data Corrected by Conditional Merging

A Study of Spatial Soil Moisture Estimation Using a Multiple Linear Regression Model and MODIS Land Surface Temperature Data Corrected by Conditional Merging

This study attempts to estimate spatial soil moisture in South Korea (99,000 km2) from January 2013 to December 2015 using a multiple linear regression (MLR) model and the Terra moderate-resolution imaging spectroradiometer (MODIS) land surface temperature (LST) and normalized distribution vegetatio...

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Bibliographic Details
Main Authors: Chunggil Jung, Yonggwan Lee, Younghyun Cho, Seongjoon Kim
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Remote Sensing
Subjects:
spatial soil moisture
MODIS LST
MODIS NDVI
conditional merging
multiple linear regression model
Online Access:https://www.mdpi.com/2072-4292/9/8/870

Internet

https://www.mdpi.com/2072-4292/9/8/870

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