A Kalman Filter-Based Method for Reconstructing GMS-5 Land Surface Temperature Time Series

A Kalman Filter-Based Method for Reconstructing GMS-5 Land Surface Temperature Time Series

Satellite-derived environmental parameters play important roles in environmental research on global changes and regional resources. Atmosphere effects and sensor limitations often lead to data products that vary in quality. The main goal of time series data reconstruction is to use various statistic...

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Bibliographic Details
Main Authors:	Rui Qin, Genliang Chen, Haibo Zhang, Luo Liu, Shaoqiu Long
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Series:	Applied Sciences
Subjects:	land surface temperature time series reconstruction Kalman filter GMS-5
Online Access:	https://www.mdpi.com/2076-3417/12/15/7414

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