%0 Dataset
%T A 1 km Resolution Permafrost Distribution Dataset over Eurasia from (2000-2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/34bd5f28-ebc0-417b-8904-620c9b4cb9ea
%W NCDC
%R 10.12072/ncdc.nieer.db6870.2025
%A Xiao Yao
%A LIU Guangyue
%A ZHAO Guohui
%A WU Xiaodong
%A ZHAO Lin
%K None;None;None;None
%X The existence and distribution of permafrost not only profoundly affect surface energy balance, hydrological processes, and ecosystem stability, but also control the dynamic evolution of global terrestrial carbon storage. It is a key foundation for evaluating the impact of climate change and carbon emission feedback mechanisms. Based on 1749 permafrost and non permafrost sites, multiple high-resolution environmental factors such as temperature, precipitation, snow days, altitude, and soil properties were integrated, and the optimal feature combination and random forest model were used for modeling and prediction. After 40 rounds of 5-fold cross validation evaluation, the model achieved an accuracy of 0.936 and an F1 value of 0.936, demonstrating good generalization performance. On this basis, a permafrost distribution dataset covering the Eurasian continent was constructed, providing spatial prediction results for five time periods of 2000, 2005, 2010, 2015, and 2020 with a spatial resolution of 1 km. The permafrost distribution map generated by the dataset has good spatial continuity and can accurately reflect the permafrost distribution pattern in high latitude and high altitude areas. This data can provide basic support for permafrost change analysis, carbon release risk assessment, regional climate response simulation, and ecological environment monitoring.