Combining Spatiotemporally Global and Local Interpolations Improves Modeling of Annual Land Surface Temperature Cycles

Combining Spatiotemporally Global and Local Interpolations Improves Modeling of Annual Land Surface Temperature Cycles

Annual temperature cycle (ATC) models are widely used to characterize temporally continuous land surface temperature (LST) dynamics within an annual cycle. However, the existing ATC models ignore the spatiotemporally local correlations among adjacent LST pixels and are inadequate for capturing the c...

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Bibliographic Details
Main Authors:	Yangyi Chen, Wenfeng Zhan, Zihan Liu, Pan Dong, Huyan Fu, Shiqi Miao, Yingying Ji, Lu Jiang, Sida Jiang
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Land
Subjects:	land surface temperature thermal remote sensing annual temperature cycle global–local interpolation random forest
Online Access:	https://www.mdpi.com/2073-445X/12/2/309

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