该数据集是针对东北多年冻土区（大、小兴安岭及周边重点廊道）开展的工程冻融灾害专项调查成果。数据集以30 m高分辨率栅格为载体，精细刻画了热融湖塘、路面沉降、裂缝、冻融侵蚀、冰椎及水毁六大典型冻害的空间分布。该数据综合了野外实地观测数据与遥感反演指标，揭示了人为热扰动（路基吸热、管道散热）对工程廊道内冻土退化及病害集聚的影响。数据可为多年冻土区线性工程（如G111、G331、中俄原油管道、嫩林铁路等）的维护、灾害预警及寒区工程规划提供核心底图支撑。", "ds_source": "
通过野外实地监测点位为先验知识，结合高分辨率遥感影像（Landsat 8/Sentinel-2/高分系列）以及地形坡度、坡向、NDVI等因子。", "ds_process_way": "
野外调查：对漠河枢纽段、根河-伊图里河湿地段、新林油管重叠段等重点区段进行实地定点观测，记录病害坐标、规模与特征描述。\n
空间聚类：分析不同气候区（高纬度连续区 vs. 南界边缘区）冻害的分布倾向。\n
人为扰动模拟：针对G111黑沥青路面的吸热效应和CRCOP管道的主动热源，评估其路基下方冻土上限的变化对路面沉降与热融湖塘发育的驱动力。\n
专题提取：基于30 m分辨率捕捉路基边坡及微地形景观，形成最终冻害类型图。", "ds_quality": "
（1）数据精度与采集方法：资源核心数据源于2023年8月-10月、2024年3月及8月的针对性野外调查，覆盖了夏季消融峰值期与冬季初冻期。实地采集了分布于G111、G301、G331、G332等多条干线公路及中俄原油管道、铁路廊道沿线的23个典型致灾场点信息。\n
（2）仪器设备与规范：现场采用手持式电子探针温度计精确测量1.5 m深处地温，利用高精度RTK（实时动态载波相位差分技术）进行冻害位置定位，并通过无人机（UAV）近地摄影测量技术结合地面电法勘探，刻画了下部地下冰相变与冻土退化状态。\n
（3）加工处理模型：采用分区聚类分析模型，将定性的野外观察特征（如裂缝宽度、波浪状起伏、冰层掩埋、结构冲毁）定量化集成。\n
（4）适用范围与验证：资源质量经受了从漠河枢纽到南界敏感区（加格达奇南/劲松段）的多元地理环境验证。适用于多年冻土区基础设施规划建设、公路路基病害防治预警、中俄能源通道安全监测及寒区环境变化影响评估等研究。", "ds_acq_start_time": "2023-01-01 00:00:00", "ds_acq_end_time": "2024-12-31 00:00:00", "ds_acq_place": "东北多年冻土区", "ds_acq_lon_east": 127.58, "ds_acq_lat_south": 49.11, "ds_acq_lon_west": 117.43, "ds_acq_lat_north": 53.5, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 2839940455, "ds_files_count": 6, "ds_format": "*.tif", "ds_space_res": "30m", "ds_time_res": "2年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "87fa9196-c796-497f-baf2-615a5b96283d.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "221ebf56-1b0b-4574-972b-1fb6d3cf1be7", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2026-04-02 18:57:56", "last_updated": "2026-05-12 10:10:52", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB7260.2026", "i18n": { "en": { "title": "Distribution data of freezing damage zones and types for 30m projects in the permafrost region of Northeast China (2023-2024)", "ds_format": "*.tif", "ds_source": "
Based on prior knowledge of field monitoring points, combined with high-resolution remote sensing images (Landsat 8/Sentinel-2/high-resolution series) and factors such as terrain slope, aspect, NDVI, etc.", "ds_quality": "
(1) Data accuracy and collection method: The core data of the resource comes from targeted field surveys conducted from August to October 2023, March and August 2024, covering the peak melting period in summer and the initial freezing period in winter. We collected information on 23 typical disaster sites located along multiple trunk highways such as G111, G301, G331, and G332, as well as along the China Russia crude oil pipeline and railway corridor.\r\n
(2) Instrumentation and specifications: Handheld electronic probe thermometers were used on site to accurately measure the ground temperature at a depth of 1.5 meters. High precision RTK (real-time dynamic carrier phase difference technology) was used to locate the location of frost damage, and unmanned aerial vehicle (UAV) near ground photogrammetry technology was combined with ground electrical exploration to characterize the underground ice phase transition and permafrost degradation status.\r\n
(3) Processing model: Using a partition clustering analysis model, qualitative field observation features (such as crack width, wavy undulations, ice burial, and structural erosion) are quantitatively integrated.\r\n
(4) Scope of application and verification: The resource quality has been verified by multiple geographical environments from the Mohe Hub to the sensitive area at the southern boundary (Jiagedaqi South/Jinsong section). Suitable for research on infrastructure planning and construction in permafrost regions, prevention and early warning of highway subgrade diseases, safety monitoring of the China Russia energy corridor, and assessment of environmental changes in cold regions.", "ds_ref_way": "", "ds_abstract": "
This dataset is the result of a special investigation on engineering freeze-thaw disasters conducted in the permafrost regions of Northeast China (including the Greater and Lesser Khingan Mountains and surrounding key corridors). The dataset uses a 30 meter high-resolution grid as the carrier to finely depict the spatial distribution of six typical freezing damages, including hot melt lakes and ponds, road surface settlement, cracks, freeze-thaw erosion, ice cones, and water damage. This data integrates field observation data and remote sensing inversion indicators, revealing the impact of anthropogenic thermal disturbances (roadbed heat absorption, pipeline heat dissipation) on permafrost degradation and disease accumulation in engineering corridors. The data can provide core base map support for the maintenance, disaster warning, and cold region engineering planning of linear projects in permafrost regions such as G111, G331, China Russia crude oil pipelines, and Nenlin Railway.", "ds_time_res": "", "ds_acq_place": "Northeast Permafrost Region", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
Field investigation: Conduct on-site fixed-point observations on key sections such as the Mohe Hub section, the Genhe Ituli River wet section, and the overlapping section of the Xinlin oil pipeline, recording the coordinates, scale, and characteristic descriptions of the diseases.\r\n
Spatial clustering: Analyze the distribution tendency of frost damage in different climate zones (high latitude continuous zone vs. southern boundary edge zone).\r\n
Human disturbance simulation: Evaluate the driving force of changes in the upper limit of frozen soil below the roadbed on road settlement and the development of thermal melting lakes and ponds, based on the heat absorption effect of G111 black asphalt pavement and the active heat source of CRCOP pipeline.\r\n
Topic extraction: Capture roadbed slopes and micro terrain landscapes based on a 30 meter resolution to form the final frost damage type map.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "工程冻融灾害", "30 m分辨率", "线性工程廊道", "路基稳定性", "多年冻土南" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "东北多年冻土区" ], "ds_time_tags": [ 2023, 2024 ], "ds_contributors": [ { "true_name": "金会军", "email": "hjjin@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "唐建军", "email": "jianjuntang@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "王文辉", "email": "wangwenhui@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "金晓颖", "email": "xyj@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "李善珍", "email": "lsz@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "黄帅", "email": "s_hwang@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "陈敦", "email": "chendun@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "王宏伟", "email": "wanghw@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "杨岁桥", "email": "yangsuiqiao@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "李祖旺", "email": "lzwang@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "燕翱翔", "email": "yanaoxiang@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "程耀辉", "email": "yhcheng@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "李景涛", "email": "ljtao@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "张泽", "email": "zez@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "王立峰", "email": "9431629@qq.com", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "张虎", "email": "zhanghu@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "刘萌心", "email": "liumengxin@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "张圣嵘", "email": "zhangshengrong@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "杨雪", "email": "yangx014@nenu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "刘子瑞", "email": "lzr@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "岳子颖", "email": "zyyue@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "吴海彬", "email": "haibinwu@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "邢鲁宁", "email": "18363701763@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "陈思宇", "email": "chensy@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "徐景妍", "email": "JingyanXu@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "何峥雲", "email": "yunhardworking@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "米虹岐", "email": "mimhq07@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "彭文昊", "email": "Pengwh@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "梁峻贺", "email": "liangjh@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "史艳玲", "email": "15247298387@163.com", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "周智熠", "email": "v1ncentharrious@outlook.com", "work_for": "东北林业大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "金会军", "email": "hjjin@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "唐建军", "email": "jianjuntang@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "王文辉", "email": "wangwenhui@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" } ], "ds_managers": [ { "true_name": "金会军", "email": "hjjin@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" } ], "category": "冻土" }