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.
Data description paper
| 
17 Jan 2024
Data description paper |
| 17 Jan 2024
| 17 Jan 2024
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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- Estimation of daily XCO2 at 1 km resolution in China using a spatiotemporal ResNet model C. Wu et al. 10.1016/j.scitotenv.2024.176171
- Analysis of spatiotemporal variation in land surface temperature on the Tibetan Plateau from 2001 to 2020 Y. Zhou et al. 10.1080/2150704X.2024.2373329
- Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture M. Zhang et al. 10.1016/j.ecoinf.2024.102875
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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
- Optimized Soil Moisture Mapping Strategies on the Tibetan Plateau Using Downscaled and Interpolated Maps as Mutual Covariates M. Zhang et al. 10.3390/rs16213939
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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
17 citations as recorded by crossref.
- Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution R. Xu et al. 10.1016/j.jag.2024.104248
- Machine-Learning-Assisted Characterization of Regional Heat Islands with a Spatial Extent Larger than the Urban Size Y. Du et al. 10.3390/rs16030599
- Estimation of daily XCO2 at 1 km resolution in China using a spatiotemporal ResNet model C. Wu et al. 10.1016/j.scitotenv.2024.176171
- Analysis of spatiotemporal variation in land surface temperature on the Tibetan Plateau from 2001 to 2020 Y. Zhou et al. 10.1080/2150704X.2024.2373329
- Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture M. Zhang et al. 10.1016/j.ecoinf.2024.102875
- Impact of urban greenspace on the urban thermal environment: A case study of Shenzhen, China Y. Bai et al. 10.1016/j.scs.2024.105591
- Finding Oasis Cold Island Footprints Based on a Logistic Model—A Case Study in the Ejina Oasis W. Wu & R. Chen 10.3390/rs16162895
- Generation of global 1 km all-weather instantaneous and daily mean land surface temperatures from MODIS data B. Li et al. 10.5194/essd-16-3795-2024
- 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
- Optimized Soil Moisture Mapping Strategies on the Tibetan Plateau Using Downscaled and Interpolated Maps as Mutual Covariates M. Zhang et al. 10.3390/rs16213939
- EATEM: A Method for Estimating Equivalent Acquisition Time of Pixels in UAV Thermal Infrared Mosaics Z. Wang et al. 10.1109/LGRS.2024.3459875
- 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.
- Investigation and validation of two all-weather land surface temperature products with in-situ measurements Y. Meng et al. 10.1080/10095020.2023.2255037
- 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: 23 Nov 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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