Reconstruction of All-Weather Daytime and Nighttime MODIS Aqua-Terra Land Surface Temperature Products Using an XGBoost Approach

Reconstruction of All-Weather Daytime and Nighttime MODIS Aqua-Terra Land Surface Temperature Products Using an XGBoost Approach

Generating spatiotemporally continuous land surface temperature (LST) data is in great demand for hydrology, meteorology, ecology, environmental studies, etc. However, the thermal infrared (TIR)-based LST measurements are prone to cloud contamination with missing pixels. To repair the missing pixels...

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Bibliographic Details
Main Authors: Weiwei Tan, Chunzhu Wei, Yang Lu, Desheng Xue
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Remote Sensing
Subjects:
land surface temperature
cloud contamination
reconstruction
XGBoost
MODIS
SG filtering
Online Access:https://www.mdpi.com/2072-4292/13/22/4723

Internet

https://www.mdpi.com/2072-4292/13/22/4723

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