Articles | Volume 18, issue 11
https://doi.org/10.5194/essd-18-8211-2026
© 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-18-8211-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A 1 km gridded dataset of Northern Hemisphere permafrost active layer thickness (2000–2024)
Yujiao Wei
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Zhaoqi Wu
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Jiaxue Wang
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Huanfeng Shen
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Yiyun Chen
CORRESPONDING AUTHOR
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Key Laboratory of Digital Cartography and Land Information Application Engineering, Ministry of Natural Resources, Wuhan 430079, China
Hubei Luojia Laboratory, Wuhan University, Wuhan 430079, China
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Short summary
Thawing permafrost accelerates global warming and threatens infrastructure, yet tracking changes over vast areas remains difficult. We combined over two decades of ground observations with artificial intelligence to create a continuous, highly detailed yearly map of permafrost thaw depth across the Northern Hemisphere from 2000 to 2024. Overcoming previous mapping limitations, this reliable dataset provides a vital tool to evaluate environmental hazards and protect vulnerable regions.
Thawing permafrost accelerates global warming and threatens infrastructure, yet tracking changes...
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