A PCA–OLS Model for Assessing the Impact of Surface Biophysical Parameters on Land Surface Temperature Variations

A PCA–OLS Model for Assessing the Impact of Surface Biophysical Parameters on Land Surface Temperature Variations

Analysis of land surface temperature (LST) spatiotemporal variations and characterization of the factors affecting these variations are of great importance in various environmental studies and applications. The aim of this study is to propose an integrated model for characterizing LST spatiotemporal...

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Bibliographic Details
Main Authors: Mohammad Karimi Firozjaei, Seyed Kazem Alavipanah, Hua Liu, Amir Sedighi, Naeim Mijani, Majid Kiavarz, Qihao Weng
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Remote Sensing
Subjects:
LST variation
surface biophysical parameters
PCA
OLS regression
regional and local optimization
Online Access:https://www.mdpi.com/2072-4292/11/18/2094

Internet

https://www.mdpi.com/2072-4292/11/18/2094

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