Reconstruction of Land Surface Temperature Derived from FY-4A AGRI Data Based on Two-Point Machine Learning Method

Reconstruction of Land Surface Temperature Derived from FY-4A AGRI Data Based on Two-Point Machine Learning Method

Land surface temperature (LST) is one of the most important parameters of the interface between the earth surface and the atmosphere, and it plays a significant role in many research fields, such as agriculture, climate, hydrology, and the environment. However, the thermal infrared band of remote se...

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Bibliographic Details
Main Authors: Yueli Li, Shanyou Zhu, Yumei Luo, Guixin Zhang, Yongming Xu
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Remote Sensing
Subjects:
land surface temperature
missing data reconstruction
FY-4A
random forest
two-point machine method
ERA5
Online Access:https://www.mdpi.com/2072-4292/15/21/5179

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