该数据集提供了2000-2020年东北多年冻土区30 m分辨率的土地利用/覆被数据（LULC）。数据真实反映了该区域以林地为生态核心、草地与耕地东西分布、湿地系统纵横穿插的宏观空间格局。大、小兴安岭山脉构成了连续的林地主体；西部呼伦贝尔高平原以广袤草地为主；耕地则碎片化分布于南部边缘及河谷平原。特别记录了由线性工程（中俄原油管道CRCOPs I & II、G111/G301/G331等公路、嫩林/滨州等铁路）构成的工程廊道对自然覆被的分割。该数据为分析工程廊道水热稳定性、多年冻土退化环境效应提供了关键的基础覆被参数。", "ds_source": "
自主加工产生（基于公开土地利用数据）。", "ds_process_way": "
样本构建：利用现有土地覆盖样本库结合高分辨率影像进行验证点选择。\n
分类特征：提取Landsat地表反射率数据的光谱、纹理及地形特征。\n
算法执行：在GEE上运行分类模型，生成初级年度产品。\n
后处理：应用时空滤波算法（Spatiotemporal filtering）和逻辑推理消除时间序列中的“分类抖动”错误，确保土地利用变化的逻辑一致性。", "ds_quality": "
（1）模型方法：采用机器学习分类算法结合时序稳定样本进行分类，并针对东北寒区复杂的湿地与人为干扰斑块进行了分类后处理优化，确保了地类转换逻辑的一致性。\n
（2）资源采集：资源采集标准严格遵循Landsat 5/7/8遥感制图规范，空间分辨率精确至30 m，时间序列跨度21年。\n
（3）适用范围：该资源具有极佳的空间细节表现力，特别适用于反映线性工程（管道、公路、铁路）对多年冻土区自然地表切割的影响，适用于寒区气候演变模拟、生态环境评价及地质灾害预警研究。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "东北多年冻土区", "ds_acq_lon_east": 135.07999999999998, "ds_acq_lat_south": 37.18, "ds_acq_lon_west": 114.28999999999999, "ds_acq_lat_north": 53.559999999999995, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 2783589239, "ds_files_count": 128, "ds_format": "*.tif", "ds_space_res": "30m", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "WGS_1984_Albers", "ds_thumbnail": "91eef22e-d3c0-4543-a2cd-939529604669.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 18:39:23", "last_updated": "2026-05-12 09:46:38", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB7259.2026", "i18n": { "en": { "title": "Land use data of 30m in the permafrost region of Northeast China (2000-2020)", "ds_format": "*.tif", "ds_source": "
Independently processed (based on publicly available land use data).", "ds_quality": "
(1) Model method: Machine learning classification algorithm combined with time-series stable samples was used for classification, and post-processing optimization was carried out for the complex wetlands and human interference patches in the cold region of Northeast China, ensuring the consistency of land classification conversion logic.\r\n
(2) Resource collection: The resource collection standards strictly follow the Landsat 5/7/8 remote sensing mapping specifications, with spatial resolution accurate to 30 meters and a time series span of 21 years.\r\n
(3) Scope of application: This resource has excellent spatial detail expression, especially suitable for reflecting the impact of linear engineering (pipelines, highways, railways) on natural surface cutting in permafrost regions. It is suitable for simulating climate evolution in cold regions, evaluating ecological environments, and researching geological disaster warning.", "ds_ref_way": "", "ds_abstract": "
This dataset provides land use/cover data (LULC) with a resolution of 30 meters in the permafrost region of Northeast China from 2000 to 2020. The data truly reflects the macro spatial pattern of the region, with forests as the ecological core, grasslands and cultivated land distributed east-west, and wetland systems interwoven vertically and horizontally. The large and small Xing'an Mountains form a continuous forest body; The western Hulunbuir High Plain is dominated by vast grasslands; Farmland is fragmented and distributed on the southern edge and river valley plains. Special records were made on the segmentation of natural cover by the engineering corridor composed of linear engineering projects such as the China Russia crude oil pipeline CRCOPs I&II, G111/G301/G331 highways, and the Nenlin/Binzhou railways. This data provides key foundational cover parameters for analyzing the hydrothermal stability of engineering corridors and the environmental effects of permafrost degradation over the years.", "ds_time_res": "", "ds_acq_place": "Northeast Permafrost Region", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
Sample construction: Use the existing land cover sample library combined with high-resolution images to select validation points.\r\n
Classification features: Extract spectral, texture, and topographic features from Landsat surface reflectance data.\r\n
Algorithm execution: Run the classification model on GEE to generate primary annual products.\r\n
Post processing: Apply spatiotemporal filtering algorithms and logical reasoning to eliminate \"classification jitter\" errors in time series, ensuring logical consistency of land use change.", "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": [ "土地利用/覆盖（LULC）", "30 m分辨率", "土地覆盖数据集" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "东北多年冻土区" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 ], "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" }