本数据集为中国东北地区30 m分辨率现今多年冻土分布图，覆盖黑龙江、吉林、辽宁及内蒙古东部，空间范围约为111.1°–135.1°E、38.6°–53.6°N。中国东北多年冻土位于亚洲高纬度多年冻土区东南缘，分布不连续且持续退化，传统中低分辨率产品难以准确刻画受局地地形、植被、湿地和地表条件控制的破碎化多年冻土。该数据集整合钻孔记录、已发表资料和2023–2025年野外调查获取的1614个多年冻土/季节冻土地面样本，结合地理、地形、植被、水文、土壤和气候等21个环境因子，采用随机森林（RF）模型开展像元尺度制图。模型经200次重复验证，平均总体精度为0.91，平均Kappa系数为0.82。中国东北现今保存的多年冻土面积约为12.1×10⁴ km²，占区域总面积的8.3%，主要集中于大兴安岭和小兴安岭；其中，大兴安岭北部构成中国东北多年冻土核心分布区，向南、向东多年冻土逐渐破碎化，并主要保存于冷湿谷地、森林湿地、北坡和高海拔地形等局地有利环境中。本数据集可为中国东北多年冻土退化监测、生态环境评估、工程规划和模型验证提供高分辨率基础数据。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "2023-01-01 00:00:00", "ds_acq_end_time": "2025-12-31 00:00:00", "ds_acq_place": "大兴安岭,小兴安岭,东北地区", "ds_acq_lon_east": 135.08333333333334, "ds_acq_lat_south": 38.6, "ds_acq_lon_west": 111.08333333333333, "ds_acq_lat_north": 53.6, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 81648967, "ds_files_count": 0, "ds_format": "*.tif", "ds_space_res": "30米", "ds_time_res": "无", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "cd14fcab-cf5f-424a-84de-613ecc2d7f93.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170", "170.4510" ], "quality_level": 0, "publish_time": "2026-07-09 10:19:58", "last_updated": "2026-07-09 10:19:58", "protected": false, "protected_to": "2027-01-05 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.permafrost.db7638.2026", "i18n": { "en": { "title": "A field-constrained 30 m map of present-day permafrost distribution in Northeast China", "ds_format": "*.tif", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
This dataset provides a 30 m map of present-day permafrost distribution in Northeast China, covering Heilongjiang, Jilin, Liaoning, and eastern Inner Mongolia within 111.1°–135.1°E and 38.6°–53.6°N. Permafrost in Northeast China lies near the southeastern margin of the Asian high-latitude permafrost zone, where it is discontinuous and undergoing sustained degradation. Conventional medium- to low-resolution products remain limited in resolving fragmented permafrost controlled by local terrain, vegetation, wetlands, and surface conditions. This dataset was developed using 1614 ground samples of permafrost and seasonal frost from borehole records, published studies, and field surveys conducted during 2023–2025. These samples were integrated with 21 environmental factors, including geographic, topographic, vegetation, hydrological, soil, and climatic variables, and mapped at the pixel scale using a random forest (RF) model. Based on 200 repeated validation runs, the model achieved a mean overall accuracy of 0.91 and a mean Kappa coefficient of 0.82. The mapped preserved permafrost area is approximately 12.1 × 10⁴ km², accounting for 8.3% of Northeast China. Permafrost is mainly concentrated in the Da Xing’anling and Xiao Xing’anling Mountains. The northern Da Xing’anling Mountains form the regional permafrost core, while permafrost becomes increasingly fragmented southward and eastward, persisting mainly in locally favorable environments such as cold–wet valleys, forested wetlands, north-facing slopes, and high-elevation terrain. This dataset provides high-resolution baseline data for permafrost degradation monitoring, environmental assessment, engineering planning, and model validation in Northeast China.", "ds_time_res": "", "ds_acq_place": "Daxing 'an Mountains, Xiaoxing' an Mountains, Northeast China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "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, "belong_to_nieer": false, "ds_topic_tags": [ "多年冻土", "冻土分布图", "30 m分辨率", "随机森林" ], "ds_subject_tags": [ "地球科学", "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国东北", "大兴安岭", "小兴安岭" ], "ds_time_tags": [ 2023, 2024, 2025 ], "ds_contributors": [ { "true_name": "邹德富", "email": "defuzou@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": "赵林", "email": "lzhao@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" }, { "true_name": "金会军", "email": "hjjin@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "胡国杰", "email": "huguojie123@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": "臧淑英", "email": "zsy6311@163.com", "work_for": "哈尔滨师范大学", "country": "中国" }, { "true_name": "李国玉", "email": "guoyuli@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": "吴晓东", "email": "wxd565@163.com", "work_for": "中国科学院西北生态环境与资源研究院", "country": "中国" }, { "true_name": "刘广岳", "email": "liuguangyue@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": "肖瑶", "email": "xiaoyao@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": "杜二计", "email": "duerji@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": "王翀", "email": "wangchong2022@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" }, { "true_name": "汪凌霄", "email": "lx.wang@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "邹德富", "email": "defuzou@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": "赵林", "email": "zhaolin_110@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": "金会军", "email": "hjjin@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "胡国杰", "email": "huguojie123@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": "臧淑英", "email": "zsy6311@163.com", "work_for": "哈尔滨师范大学", "country": "中国" }, { "true_name": "李国玉", "email": "guoyuli@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": "吴晓东", "email": "wxd565@163.com", "work_for": "中国科学院西北生态环境与资源研究院", "country": "中国" }, { "true_name": "刘广岳", "email": "liuguangyue@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": "肖瑶", "email": "xiaoyao@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": "杜二计", "email": "duerji@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": "王翀", "email": "wangchong2022@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" }, { "true_name": "汪凌霄", "email": "lx.wang@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" } ], "ds_managers": [ { "true_name": "邹德富", "email": "defuzou@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "冻土" }