%0 Dataset
%T 1km freeze-thaw disaster susceptibility data of the permafrost region in Northeast China (2010-2024)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/6df10e98-614e-4c25-84f4-53e6e9ab5bae
%W NCDC
%R 10.12072/ncdc.nieer.db7284.2026
%A Li Guoyu
%A Chen Dun
%A Gao Kai
%A Wang Fei
%A Cao Yapeng
%A Yin Guoan
%A NIU Fujun
%A Shang Yunhu
%A Lin Juncen
%A Du Qingsong
%A Jia Han
%A Wang Yapeng
%A Qi Shunshun
%A Ai Xihui
%A Yang Jiawei
%A Li Zhaoxiang
%A Hu Meirong
%K Degradation of frozen soil;freeze-thaw disasters;Northeast China;Greater Khingan Range
%X The susceptibility assessment dataset for freeze-thaw disasters in Northeast China is based on on-site investigation data of freeze-thaw disasters in Northeast China. Five machine learning models (GAM, GAM, GBM, RF, ANN) and their weighted integration methods are used to construct a 1000 meter resolution freeze-thaw disaster susceptibility assessment product for Northeast China. The data expresses the spatial susceptibility level of regional freeze-thaw disasters in grid form, which can be used in fields such as permafrost disaster monitoring, risk assessment, ecological environment research, and regional planning.  The levels of freeze-thaw disasters are divided into the following 5 categories:  1: Extremely low  2: Low  3: Medium  4: High  5: Extremely high