Articles | Volume 16, issue 8
https://doi.org/10.5194/essd-16-3795-2024
https://doi.org/10.5194/essd-16-3795-2024
Data description paper
 | 
27 Aug 2024
Data description paper |  | 27 Aug 2024

Generation of global 1 km all-weather instantaneous and daily mean land surface temperatures from MODIS data

Bing Li, Shunlin Liang, Han Ma, Guanpeng Dong, Xiaobang Liu, Tao He, and Yufang Zhang

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Cited articles

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Short summary
This study describes 1 km all-weather instantaneous and daily mean land surface temperature (LST) datasets on the global scale during 2000–2020. It is the first attempt to synergistically estimate all-weather instantaneous and daily mean LST data on a long  global-scale time series. The generated datasets were evaluated by the observations from in situ stations and other LST datasets, and the evaluation indicated that the dataset is sufficiently reliable.
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