%0 Dataset
%T Distribution map of 30m freeze-thaw disasters in the permafrost region of Northeast China (2023-2024)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/6d8f3829-5d4b-4185-a13a-bab98fc24891
%W NCDC
%R 10.12072/ncdc.nieer.db7263.2026
%A JIN Huijun
%A Tang Jianjun
%A Wang Wenhui
%A Jin Xiaoying
%A Li Shanzhen
%A Huang Shuai
%A Chen Dun
%A WANG Hongwei
%A Yangsui Bridge
%A Li Zuwang
%A Soaring Swallows
%A Cheng Yaohui
%A Li Jingtao
%A Zhang Ze
%A Wang Lifeng
%A Zhang Hu
%A Liu Mengxin
%A Zhang Shengrong
%A Yang Xue
%A Liu Zirui
%A Yue Ziying
%A Wu Haibin
%A Xing Luning
%A Chen Siyu
%A Xu Jingyan
%A He Zhengyun
%A Mi Hongqi
%A Peng Wenhao
%A Liang Junhe
%A Shi Yanling
%A Zhou Zhiyi
%K Engineering freeze-thaw disasters;machine learning;spatial distribution patterns;linear engineering corridors;uneven settlement of road surfaces;and thermal thawing of lakes and ponds
%X This data provides a detailed characterization of the spatial pattern of freeze-thaw disasters in the permafrost region of Northeast China under the coupling effects of climate change and human engineering activities. The resource content covers the distribution of disaster types from large discontinuous permafrost areas to seasonal permafrost transition zones, with a focus on identifying six major disaster types: uneven road settlement, hot melt lakes and ponds, road cracks, freeze-thaw erosion, ice cones, and water damage.  Resource characteristics: (1) Large spatial span: covering the main permafrost areas of Daxing'an Mountains and Xiaoxing'an Mountains. (2) High precision: Using a scale of 1:100000, it reveals the distribution characteristics of "north dense and south sparse, high dense and low sparse". (3) Strong engineering relevance: Highlighting the disaster gathering trend of linear engineering corridors such as highways (G111, G331, etc.), railways, and Sino Russian crude oil pipelines. (4) Typical representatives: Five typical regions including Mohe, Genhe Ituli River, Xinlin, Heihe, and the southern section of Gagdachi were selected for micro analysis.