TY  - Data
T1  - The Alaska Permafrost Thaw Database (Version 2.0.0)
A1  - Hailey Webb
DO  - 10.12072/ncdc.permafrost‌.db7450.2026
PY  - 2026
DA  - 2026-06-10
PB  - National Cryosphere Desert Data Center
AB  - The warming rate in the Arctic region is about four times the global average, causing large-scale permafrost ablation and degradation, which has a profound impact on ecosystems and infrastructure. Progressive permafrost ablation often takes decades, and sudden permafrost ablation events such as hot karst development and retreating meltdown can quickly change the ecological environment and seriously damage various engineering facilities. At present, sudden frozen soil melting is becoming increasingly common, but there is still a lack of global spatial data sets for regional scales that can be used by land management departments and local governments. In order to fill this data gap, this study built an Alaska permafrost database. This open and shared collaborative dataset integrates 44 data sources and summarizes a total of 19540 permafrost ablation and hot karst sites across Alaska. Data sources include field observations, remote sensing products and published literature. The observation period of the dataset has continued from 1950 to the present, with a large spatial resolution span, covering field point observation data and remote sensing data with a resolution of 1 - 125 meters, achieving full coverage of Alaska. The library includes both sudden frozen soil melting points and progressive melting points from top to bottom, which can support comparative analysis and prediction model construction.This database contains data on a total of 19540 sudden and progressive permafrost melting points across Alaska. This version provides both tabular data and spatial geographical data, and file formats include CSV, GeoJSON and GeoPackage.This dataset can intuitively provide on-site observation data of active ablation areas and stable permafrost, providing basis and verification support for underground ice mapping. Combining terrain characteristics with remote sensing observations can also provide guidance for subsequent field inspections in weak areas. As the Arctic landscape
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/ac1e0e67-71f2-4da7-9290-b068d3e5a73a
ER  -