Gap-Free LST Generation for MODIS/Terra LST Product Using a Random Forest-Based Reconstruction Method

Gap-Free LST Generation for MODIS/Terra LST Product Using a Random Forest-Based Reconstruction Method

Land surface temperature (LST) is a crucial input parameter in the study of land surface water and energy budgets at local and global scales. Because of cloud obstruction, there are many gaps in thermal infrared remote sensing LST products. To fill these gaps, an improved LST reconstruction method f...

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Bibliographic Details
Main Authors: Yao Xiao, Wei Zhao, Mingguo Ma, Kunlong He
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
land surface temperature
MODIS
random forest
reconstruction
validation
Online Access:https://www.mdpi.com/2072-4292/13/14/2828

Internet

https://www.mdpi.com/2072-4292/13/14/2828

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