A 1&thinsp;km gridded dataset of Northern Hemisphere permafrost active layer thickness (2000–2024)

Wei, Yujiao; Wu, Zhaoqi; Wang, Jiaxue; Shen, Huanfeng; Chen, Yiyun

doi:10.5194/essd-18-8211-2026

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.

https://doi.org/10.5194/essd-18-8211-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 11

Data description article

|

11 Nov 2026

Data description article |

| 11 Nov 2026

A 1 km gridded dataset of Northern Hemisphere permafrost active layer thickness (2000–2024)

Yujiao Wei, Zhaoqi Wu, Jiaxue Wang, Huanfeng Shen, and Yiyun Chen

Supplement

https://doi.org/10.5194/essd-18-8211-2026-supplement

Data sets

A 1 km gridded dataset of Northern Hemisphere permafrost active layer thickness (2000–2024) Yujiao Wei and Yiyun Chen https://doi.org/10.5281/zenodo.23227837

Ground temperature map, 2000-2016, northern hemisphere permafrost Jaroslav Obu et al. https://doi.org/10.1594/PANGAEA.888600

Global 1 km Resolution 2000-2024 Annual Maximum Composite Normalized Difference Vegetation Index (NDVI) Dataset (V3) Chengcheng Wang et al. https://doi.org/10.57760/sciencedb.33612

Model code and software

Code for 1 km gridded reconstruction of Northern Hemisphere active layer thickness (2000–2024) Yujiao Wei https://doi.org/10.5281/zenodo.23227376

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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.