Spatial Downscaling of Land Surface Temperature over Heterogeneous Regions Using Random Forest Regression Considering Spatial Features

Spatial Downscaling of Land Surface Temperature over Heterogeneous Regions Using Random Forest Regression Considering Spatial Features

Land surface temperature (LST) is one of the crucial parameters in the physical processes of the Earth. Acquiring LST images with high spatial and temporal resolutions is currently difficult because of the technical restriction of satellite thermal infrared sensors. Downscaling LST from coarse to fi...

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Bibliographic Details
Main Authors: Kai Tang, Hongchun Zhu, Ping Ni
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
downscaling
spatial feature
land surface temperature
random forest regression
Landsat 8
feature selection
Online Access:https://www.mdpi.com/2072-4292/13/18/3645

Internet

https://www.mdpi.com/2072-4292/13/18/3645

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