Quantification of MODIS Land Surface Temperature Downscaled by Machine Learning Algorithms

Quantification of MODIS Land Surface Temperature Downscaled by Machine Learning Algorithms

Land Surface Temperature (LST) is essential for understanding the interactions between the land surface and the atmosphere. This study presents a comprehensive evaluation of machine learning (ML)-based downscaling algorithms to enhance the spatial resolution of MODIS LST data from 960 m to 30 m, lev...

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Bibliographic Details
Main Authors: Qi Su, Xiangchen Meng, Lin Sun, Zhongqiang Guo
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Remote Sensing
Subjects:
Land Surface Temperature
downscale
MODIS
Landsat
machine learning
Online Access:https://www.mdpi.com/2072-4292/17/14/2350
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