A Spatiotemporal Fusion Model of Land Surface Temperature Based on Pixel Long Time-Series Regression: Expanding Inputs for Efficient Generation of Robust Fused Results

A Spatiotemporal Fusion Model of Land Surface Temperature Based on Pixel Long Time-Series Regression: Expanding Inputs for Efficient Generation of Robust Fused Results

Spatiotemporal fusion technology effectively improves the spatial and temporal resolution of remote sensing data by fusing data from different sources. Based on the strong time-series correlation of pixels at different scales (average Pearson correlation coefficients > 0.95), a new long time-seri...

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Bibliographic Details
Main Authors: Shize Chen, Linlin Zhang, Xinli Hu, Qingyan Meng, Jiangkang Qian, Jianfeng Gao
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
spatiotemporal fusion (STF)
land surface temperature (LST)
time-series
Landsat
moderate resolution imaging spectroradiometer (MODIS)
Online Access:https://www.mdpi.com/2072-4292/15/21/5211

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https://www.mdpi.com/2072-4292/15/21/5211

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