TY  - Data
T1  - Distribution data of 100m freeze-thaw disasters in the permafrost region of Northeast China (2023-2024)
A1  - JIN Huijun
A1  - Tang Jianjun
A1  - Wang Wenhui
A1  - Jin Xiaoying
A1  - Li Shanzhen
A1  - Huang Shuai
A1  - Chen Dun
A1  - WANG Hongwei
A1  - Yangsui Bridge
A1  - Li Zuwang
A1  - Soaring Swallows
A1  - Cheng Yaohui
A1  - Li Jingtao
A1  - Zhang Ze
A1  - Wang Lifeng
A1  - Zhang Hu
A1  - Liu Mengxin
A1  - Zhang Shengrong
A1  - Yang Xue
A1  - Liu Zirui
A1  - Yue Ziying
A1  - Wu Haibin
A1  - Xing Luning
A1  - Chen Siyu
A1  - Xu Jingyan
A1  - He Zhengyun
A1  - Mi Hongqi
A1  - Peng Wenhao
A1  - Liang Junhe
A1  - Shi Yanling
A1  - Zhou Zhiyi
DO  - 10.12072/ncdc.nieer.db7262.2026
PY  - 2026
DA  - 2026-04-02
PB  - National Cryosphere Desert Data Center
AB  - The data is based on multi-source remote sensing images and field investigations of engineering diseases. Machine learning algorithms are used to determine the weights of factors such as terrain, weather, and frozen soil types, achieving systematic identification and mapping of regional scale freeze-thaw disasters. The dataset focuses on reflecting the disaster aggregation characteristics within linear engineering corridors such as highways, railways, and crude oil pipelines (CRCOP), revealing the evolution of frost damage from "patchy distribution" to "point/corridor aggregation" during the transition from large discontinuous permafrost areas in the north to scattered island shaped permafrost areas in the south. This data can provide core data support for the safety evaluation of infrastructure in cold regions and the study of environmental effects of permafrost degradation.  The classification system of this dataset (grid values 1-6) strictly corresponds to typical engineering diseases in permafrost regions:  1: Hot melt lake pond  2: Road cracks  3: Freeze-thaw erosion  4: Uneven settlement of road surface  5: Ice vertebrae  6: Water destroyed.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/6799fb86-a763-43d0-b05a-99b8c656693e
ER  -