Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-387-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-387-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
TRIMS LST: a daily 1 km all-weather land surface temperature dataset for China's landmass and surrounding areas (2000–2022)
Wenbin Tang
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
Ji Zhou
CORRESPONDING AUTHOR
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
Ziwei Wang
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
Lirong Ding
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
Xiaodong Zhang
Shanghai Aerospace Electronic Technology Institute, Shanghai 201109, China
Shanghai Spaceflight Institute of TT&C and Telecommunication, Shanghai 201109, China
Xu Zhang
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
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Latest update: 09 Jun 2026
Short summary
This paper reported a daily 1 km all-weather land surface temperature (LST) dataset for Chinese land mass and surrounding areas – TRIMS LST. The results of a comprehensive evaluation show that TRIMS LST has the following special features: the longest time coverage in its class, high image quality, and good accuracy. TRIMS LST has already been released to the scientific community, and a series of its applications have been reported by the literature.
This paper reported a daily 1 km all-weather land surface temperature (LST) dataset for Chinese...
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