Articles | Volume 18, issue 9
https://doi.org/10.5194/essd-18-6885-2026
© Author(s) 2026. 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-18-6885-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
16 Sep 2026
Data description article |
| 16 Sep 2026
| 16 Sep 2026
GloSVeT: a global 0.05° monthly mean surface soil and vegetation component temperature dataset (2003–2023)
Xiangyang Liu
State Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Zhao-Liang Li
CORRESPONDING AUTHOR
Hebei International Joint Research Center for Remote Sensing of Agricultural Drought Monitoring/ School of Land Science and Space Planning, Hebei GEO University, Shijiazhuang 050031, China
State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Chen Ru
State Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Si-Bo Duan
State Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Pei Leng
State Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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Short summary
Quantifying soil and vegetation temperatures separately is essential for understanding land–atmosphere energy exchange, drought dynamics, and agricultural responses to climate change. This study presents a global dataset providing monthly surface soil and vegetation temperatures from 2003 to 2023 at 0.05° resolution. The dataset enables detailed analyses of surface warming patterns and supports improved monitoring of hydrothermal conditions and ecosystem functioning.
Quantifying soil and vegetation temperatures separately is essential for understanding...
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