该数据是基于中国境内1：100万土壤类型数据源，利用乌鲁木齐河流域边界裁切形成的数据。在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。基于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_source": "数据来源于联合国粮农组织（FAO）和维也纳国际应用系统研究所(IIASA)所构建的世界土壤数据库(Harmonized World Soil Database version 1.2 )(HWSD).中国境内数据源为第二次全国土地调查南京土壤所所提供的1：100万土壤数据。
", "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": "1995-01-01 00:00:00", "ds_acq_end_time": "1995-12-31 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": 6240, "ds_files_count": 2, "ds_format": "", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "61f960ee-f8e7-44d1-823c-256057d02e97.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 12:20:07", "last_updated": "2025-04-22 16:46:36", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.db2452.2022", "i18n": { "en": { "title": "1:1 million soil type data for the Urumqi River Basin (1995)", "ds_format": "", "ds_source": "The data were obtained from the Harmonized World Soil Database version 1.2 (HWSD) constructed by the Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems (IIASA), Vienna. The source of data in China is the 1:1 million soil data provided by the Nanjing Soil Survey of the Second National Land Survey.
", "ds_quality": "Data sets are quality controlled through rigorous manual review.
", "ds_ref_way": "", "ds_abstract": "The data are based on a 1:1 million soil type data source within China, which was formed by utilizing the Urumqi River watershed boundary cropping. A long time series of surface cover change detection was completed on the cloud computing platform, and a region-by-region and period-by-period surface cover dynamic update was realized by combining the change detection results to produce a global 30-meter fine surface cover dynamic monitoring product for the period 2000-2020. Based on the global 10-meter land use data for 2021 released by Esri, the current land use data for 2021 was extracted using the Urumqi River basin boundary.
", "ds_time_res": "", "ds_acq_place": "Urumqi River basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Using all Landsat satellite data (Landsat TM, ETM+ and OLI) from 1984 to 2020, we have completed a long time series of surface cover change detection on the Google Earth Engine cloud computing platform, and realized region-by-region and period-by-period surface cover dynamic updating by combining with the change detection results, and produced a global 30-meter fine surface cover dynamic monitoring product for the period of 2000 to 2020. We have produced a global 30-meter fine surface cover dynamic monitoring product from 2000 to 2020. The required type data were extracted through the boundary of the Urumqi River basin. Based on the global 10-meter land use data for 2021 produced by ESA using sentinel-2 data processing and released by Esri, the current land use data for 2021 were extracted using the 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": [ "土壤质地", "土壤类型", "土壤含水量", "土壤有机碳" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "乌鲁木齐河流域" ], "ds_time_tags": [ 1995 ], "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" }