中国土地覆被重建数据是将多种地表遥感数据产品进行融合，形成和统计数据相一致的土地覆被类型数据。\n
本数据利用了20余种30m分辨率和4种10m分辨率的地表遥感数据，采用贝叶斯模型平均方法，在省级尺度上与国家森林资源清查、全国土地调查、国土变更调查等统计数据进行匹配。\n
数据主要由7种类型组成，包括冰雪和水域，裸地，建成区，森林，灌木，农田，稀疏植被。其中建成区，森林，灌木，农田经过了统计数据约束。\n
最终数据空间范围为中国全境，时间跨度1985-2021年，每年一个数据，空间分辨率为 90m，投影格式为 Albers 投影。包括了相应约束的代码。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "1985-01-01 00:00:00", "ds_acq_end_time": "2021-12-31 00:00:00", "ds_acq_place": "中国", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 11348198612, "ds_files_count": 1, "ds_format": "*.tif", "ds_space_res": "90m", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "Albers", "ds_thumbnail": "baf888e8-2ea6-4b07-9074-23455bd12d00.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 0, "publish_time": "2026-05-09 16:39:43", "last_updated": "2026-05-09 16:39:50", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.landcover.db7316.2026", "i18n": { "en": { "title": "China 90m Land Cover Reconstruction Dataset (1985-2021)", "ds_format": "*.tif", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
China's land cover reconstruction data is the fusion of multiple surface remote sensing data products to form land cover type data that is consistent with statistical data.\r\n
This data utilizes over 20 types of 30m resolution and 4 types of 10m resolution surface remote sensing data, and uses Bayesian model averaging method to match statistical data such as national forest resource inventory, national land survey, and land use change survey at the provincial level.\r\n
The data mainly consists of 7 types, including ice and snow and water bodies, bare land, built-up areas, forests, shrubs, farmland, and sparse vegetation. The built-up areas, forests, shrubs, and farmland have undergone statistical data constraints.\r\n
The final data space covers the entire territory of China, with a time span of 1985-2021, one data per year, a spatial resolution of 90m, and a projection format of Albers projection. Code that includes corresponding constraints.", "ds_time_res": "", "ds_acq_place": "China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 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": [ "土地覆被", "重建数据", "贝叶斯模型" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 ], "ds_contributors": [ { "true_name": "张宇翔", "email": "zyx2012@pku.edu.cn", "work_for": "中国农业大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张宇翔", "email": "zyx2012@pku.edu.cn", "work_for": "中国农业大学", "country": "中国" } ], "ds_managers": [ { "true_name": "张宇翔", "email": "zyx2012@pku.edu.cn", "work_for": "中国农业大学", "country": "中国" } ], "category": "生态" }