Generating Daily Gap-Free MODIS Land Surface Temperature Using the Random Forest Model and Similar Pixels Method

Generating Daily Gap-Free MODIS Land Surface Temperature Using the Random Forest Model and Similar Pixels Method

The land surface temperature (LST) is one of the vital variables for surface-atmosphere interaction. However, due to the vulnerability of thermal infrared remote sensing to clouds, the MODIS LST products have many observation gaps, which seriously limits their application. In this paper, to make up...

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Bibliographic Details
Main Authors: Dong Chen, Qifeng Zhuang, Liang Zhu, Wenjie Zhang, Tao Sun
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Land surface temperature (LST)
remote sensing
MODIS
random forest (RF) regression
reconstruction
similar pixels (SP)
Online Access:https://ieeexplore.ieee.org/document/10261185/

Internet

https://ieeexplore.ieee.org/document/10261185/

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