基于GLC-FCS30-2000, GLC-FCS30-2010，GLC-FCS30-2020全球精细化地表覆盖产品，结合高精度DEM数据，利用乌鲁木齐河流域边界提取2000年、2010年、2020年的土地利用现状数据，空间分辨率为30米。数据存储为栅格TIF格式。基于欧空局利用sentinel-2数据处理产生，Esri公司发布的2021年全球10米土地利用数据，利用乌鲁木齐河流域边界提取2021年的土地利用现状数据，空间分辨率为10米。数据存储为栅格TIF格式。
", "ds_source": "数据来源于中国科学院空天信息创新研究院和欧空局。
", "ds_process_way": "利用1984-2020年所有Landsat卫星数据（Landsat TM，ETM+和OLI）在Google Earth Engine云计算平台完成了长时序的地表覆盖变化检测，并结合变化检测结果实现了逐区域和逐期的地表覆盖动态更新，生产了2000年-2020年全球30米精细地表覆盖动态监测产品，通过乌鲁木齐河流域边界提取所需的类型数据。基于欧空局利用sentinel-2数据处理产生，Esri公司发布的2021年全球10米土地利用数据，利用乌鲁木齐河流域边界提取2021年的土地利用现状数据。
", "ds_quality": "数据集通过严格的人工审核控制质量。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2021-12-31 00:00:00", "ds_acq_place": "乌鲁木齐河流域", "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": 3299344, "ds_files_count": 2, "ds_format": "", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "b69eda08-6352-4346-949c-f2eaa352469a.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": "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": "2022-10-14 12:12:15", "last_updated": "2025-04-23 09:59:30", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.db2451.2022", "i18n": { "en": { "title": "Current land use dataset of Urumqi River Watershed (2000, 2010, 2020, 2021)", "ds_format": "", "ds_source": "The data were sourced from the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS) and the European Space Agency (ESA).
", "ds_quality": "The dataset underwent rigorous manual quality control verification to ensure accuracy.
", "ds_ref_way": "", "ds_abstract": "The land use/land cover (LULC) data for the years 2000, 2010, and 2020 were extracted for the Urumqi River Basin based on the GLC-FCS30 global fine-resolution land cover products (GLC-FCS30-2000, GLC-FCS30-2010, GLC-FCS30-2020), combined with high-precision DEM data, using the basin boundary for spatial clipping. The derived datasets have a spatial resolution of 30 meters and are stored in raster TIFF format.
\nFor the year 2021, the land use data were extracted from the 10-meter global LULC product (released by Esri and derived from Sentinel-2 imagery processed by the European Space Agency, ESA). The dataset was similarly clipped to the Urumqi River Basin boundary, yielding a spatial resolution of 10 meters, and stored in raster TIFF format.
", "ds_time_res": "", "ds_acq_place": "Urumqi River Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Long-term land cover change detection was conducted using the complete Landsat satellite archive (Landsat TM, ETM+, and OLI) from 1984 to 2020 on the Google Earth Engine (GEE) cloud computing platform. Through spatiotemporal change analysis and regional adaptive updating, we produced a global 30-meter fine-resolution dynamic land cover monitoring product for 2000-2020. The required land cover classes were subsequently extracted using the Urumqi River Basin watershed boundary.
\nFor the 2021 land use data, we utilized the global 10-meter land cover product developed by Esri, which was generated from Sentinel-2 data processed by the European Space Agency (ESA). The 2021 land use status data were then extracted using the same Urumqi River Basin boundary.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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": [ "地表覆盖", "30米", "乌鲁木齐河流域" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "乌鲁木齐河流域" ], "ds_time_tags": [ 2000, 2010, 2020, 2021 ], "ds_contributors": [ { "true_name": "张耀南", "email": "yaonan@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": "李红星", "email": "lihongxing@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": "敏玉芳", "email": "myf@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": "遥感及产品" }