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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- A Retrieval Algorithm for Passive Microwave-Based Land Surface Temperature Considering Spatiotemporal Soil Moisture and Land Scenarios W. Ji et al. 10.1109/JSTARS.2024.3432770
- Non-negligible clear-sky biases of satellite thermal infrared observations for analyzing surface urban heat island intensity: A case study in China J. Ma et al. 10.1016/j.scitotenv.2024.174928
- All weather land surface temperature estimation by combining thermal infrared and passive microwave radiometry: a study over India R. Harod & E. Rajasekaran 10.1080/01431161.2024.2394232
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- Spatio-temporal assessment of heat health risk in Chinese metropolitan cities based on the modified multi-indicators coupled risk framework H. Sun et al. 10.1016/j.scs.2024.105451
- Thermokarst landslides susceptibility evaluation across the permafrost region of the central Qinghai-Tibet Plateau: Integrating a machine learning model with InSAR technology F. Wang et al. 10.1016/j.jhydrol.2024.131800
- Ambient air pollutants exposure during gestation and incidence risk of hypertensive disorders of pregnancy or preeclampsia in China W. Zhang et al. 10.1016/j.envpol.2024.124722
- Correcting land surface temperature from thermal imager by considering heterogeneous emissivity W. Yan et al. 10.1016/j.jag.2024.103824
2 citations as recorded by crossref.
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- Elevation-dependent patterns of temporally asymmetrical vegetation response to climate in an alpine basin on the Qinghai-Tibet Plateau T. Bai et al. 10.1016/j.ecolind.2024.111736
Latest update: 04 Oct 2024
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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