本数据集基于中国土地覆盖年度数据集（CLCD）（https://www.ncdc.ac.cn/portal/metadata/9de270f3-b5ad-4e19-afc0-2531f3977f2f） 制作而成结合人工解译和算法分类方法，对中国东北区域的土地覆盖进行了精确的分类和分，数据集包含了九类主要的陆地覆盖类型，包括耕地、林地、草地、水域、城市、耕地、林地、草地、水域、城市、湿地、沙地、裸地和冰雪湿地、沙地、裸地和冰雪。", "ds_source": "
中国土地覆盖年度数据集（CLCD）（https://www.ncdc.ac.cn/portal/metadata/9de270f3-b5ad-4e19-afc0-2531f3977f2f）", "ds_process_way": "
使用 Landsat 图像，构建 1985 年至 2022 年中国第一个源自 Landsat 的年度土地覆被产品 （CLCD）；通过结合从中国土地利用/覆盖数据集（CLUD）中提取的稳定样本和来自卫星时间序列数据、谷歌地球和谷歌地图的视觉解释样本收集训练样本；通过所有可用的 Landsat 数据构建多个时态指标，并将其馈送到随机森林分类器以获得分类结果。\n
然后对东北地区进行裁剪，得到东北多年冻土区1km 分辨率土地利用/覆被空间分布数据。", "ds_quality": "
该数据集具有较高的整体分类精度，尤其以对森林、草地及裸地等自然地物的长时序稳定监测能力见长，适合用于分析大尺度的生态演变过程。", "ds_acq_start_time": "1985-01-01 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": 136.58333333333334, "ds_acq_lat_south": 37.53805555555555, "ds_acq_lon_west": 108.81972222222223, "ds_acq_lat_north": 54.62444444444444, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 694321458, "ds_files_count": 6, "ds_format": "*.tif", "ds_space_res": "30m", "ds_time_res": "5年,10年", "ds_coordinate": "WGS84", "ds_projection": "WGS_1984_Albers", "ds_thumbnail": "a197c2a7-f904-496f-ae53-8d21afffc1be.png", "ds_thumb_from": 2, "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": "2026-04-08 19:22:15", "last_updated": "2026-05-12 11:33:00", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB7296.2026", "i18n": { "en": { "title": "30m land use/cover spatial distribution data of the permafrost region in Northeast China (1985-2020)", "ds_format": "*.tif", "ds_source": "
China Land Cover Annual Dataset (CLCD)（ https://www.ncdc.ac.cn/portal/metadata/9de270f3-b5ad-4e19-afc0-2531f3977f2f ）", "ds_quality": "
This dataset has high overall classification accuracy, especially in terms of long-term stable monitoring capabilities for natural features such as forests, grasslands, and bare land, making it suitable for analyzing large-scale ecological evolution processes.", "ds_ref_way": "", "ds_abstract": "
This dataset is based on the China Land Cover Annual Dataset (CLCD)（ https://www.ncdc.ac.cn/portal/metadata/9de270f3-b5ad-4e19-afc0-2531f3977f2f ）A combination of manual interpretation and algorithmic classification methods was developed to accurately classify and categorize land cover in Northeast China. The dataset includes nine main types of land cover, including cultivated land, forest land, grassland, water area, city, cultivated land, forest land, grassland, water area, city, wetland, sandy land, bare land and ice snow wetland, sandy land, bare land and ice snow.", "ds_time_res": "", "ds_acq_place": "Northeast Permafrost Region", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
Using Landsat images, construct China's first annual land cover product (CLCD) derived from Landsat from 1985 to 2022; Collect training samples by combining stable samples extracted from the China Land Use/Cover Dataset (CLUD) with visual interpretation samples from satellite time series data, Google Earth, and Google Maps; Construct multiple temporal indicators from all available Landsat data and feed them into a random forest classifier to obtain classification results.\r\n
Then, the Northeast region was cropped to obtain 1km resolution land use/cover spatial distribution data in the permafrost region of Northeast China.", "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": [ "草地", "水域", "城市", "湿地", "沙地裸地", "冰雪", "土地覆盖", "耕地", "林地" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "东北多年冻土区" ], "ds_time_tags": [ 1985, 1990, 2000, 2010, 2020 ], "ds_contributors": [ { "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" } ], "ds_meta_authors": [ { "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" } ], "ds_managers": [ { "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" } ], "category": "冻土" }