本数据主要反映的是2000年前后新疆土地利用现状，依据《国家资源环境信息系统数据库构建》——新疆片区土地利用TM卫星影像解译标志建立的《中国科学院土地利用分类系统》，把全疆土地分为6个一级类，24个二级类；共有超过10万个图斑，所有土地分类要素均在一个图层内，比例尺1：25万，投影坐标采用Albers投影Krasovsky_1940坐标系。
", "ds_source": "数据来源于从马里兰大学网站上下载的2000年代前后新疆全疆范围的Landsate TM、ETM影像数据和中科院新疆分院文献中心馆藏的中国70年代出版的1:10万地形图。
", "ds_process_way": "对TM数据先进行筛选，选出云覆盖比例少于4%，或是较少遮盖主要地物的，结合1:10万地形图对选出的影像进行几何精纠正、然后拼接、匀色，最后成为可矢量化的产品，由专业人员按照解译标志和分类系统对每一景TM数据进行目视解译、手工矢量化，生成COVERAGE格式数据，再利用Arcgis软件把COVERAGE转换成SHP数据，经过投影转换生成本数据.
", "ds_quality": "本数据由中国科学院新疆生态与地理研究所地理信息与制图专业人员负责数据加工，从纸质资料的扫描、影像数据的筛选、几何精纠正、拼接、匀色到数字矢量化、人工解译，整个作业流程均遵守国家相关标准，数字化误差控制在2个像素以内，保证了矢量化的界线与地形图的界线完全吻合，矢量数据真实反映地物形态和属性信息，数据精确度高达99%。
", "ds_acq_start_time": "2015-01-01 00:00:00", "ds_acq_end_time": "2015-12-31 00:00:00", "ds_acq_place": "中国新疆", "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": "apply-access", "ds_total_size": 85239018, "ds_files_count": 1, "ds_format": ".shp", "ds_space_res": "1：25万", "ds_time_res": "无", "ds_coordinate": "无", "ds_projection": "Krasovsky_1940_Albers", "ds_thumbnail": "b28410ef-8f2d-42a8-bf6a-83e0f58d2a1b.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6", "doi_value": "", "subject_codes": [ "170.40" ], "quality_level": 1, "publish_time": "2025-04-09 18:39:22", "first_publish_time": null, "last_updated": "2025-05-28 17:39:37", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00341", "license": null, "extra": null, "files_shape": [ { "name": "2000年新疆土地利用数据产品.rar", "size": 85239018, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "Xinjiang 1: 250,000 land use data (2000)", "ds_abstract": "This data mainly reflects the current situation of land use in Xinjiang around 2000. According to the \"National Resources and Environment Information System Database Construction\"-the \"Land Use Classification System of China Academy of Sciences\" established by the \"National Resources and Environment Information System Database Construction\"-Xinjiang Area Land Use TM Satellite Image Interpretation Mark, the land in Xinjiang is divided into 6 first-level categories and 24 second-level categories; there are more than 100,000 map spots in total, and all land classification elements are in one layer, with a scale of 1: 250,000, and the projection coordinates adopt the Albers projection Krasovsky_1940 coordinate system.
", "ds_source": "The data comes from Landsate TM and ETM image data from the entire Xinjiang area around the 2000s downloaded from the website of the University of Maryland, and the 1: 100,000 topographic map published in China in the 1970s collected by the Documentation Center of the Xinjiang Branch of the Chinese Academy of Sciences.
", "ds_process_way": "The TM data is first filtered to select those with cloud coverage of less than 4%, or less coverage of the main features. Combined with a 1: 100,000 topographic map, the selected images are geometrically corrected, then spliced, and evenly colored, and finally become a vectorized product. Professionals visually interpret and manually vectorize the TM data of each scene according to the interpretation mark and classification system to generate COVERAGE format data. Then Arcgis software is used to convert COVERAGE into SHP data, and the data is generated through projection conversion.
", "ds_quality": "This data is processed by the geographical information and mapping professionals of the Xinjiang Institute of Ecology and Geography, China Academy of Sciences. From scanning of paper materials, screening of image data, precise geometric correction, splicing, color uniformity to digital vectorization and manual interpretation, the entire operation process complies with relevant national standards. The digital error is controlled within 2 pixels, ensuring that the vectorized boundary is completely consistent with the boundary of the topographic map. The vector data truly reflects the shape and attribute information of the feature. Data accuracy is as high as 99%.
", "ds_acq_place": "Xinjiang, China", "ds_format": ".shp", "ds_projection": "Krasovsky_1940_Albers", "ds_space_res": "1:250 thousand", "ds_time_res": "no" } }, "license_type": null, "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", "土地利用" ], "ds_subject_tags": [ "地图学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国新疆" ], "ds_time_tags": [ 2000 ], "ds_contributors": [ "吴世新" ], "ds_meta_authors": [ "李锦" ], "ds_managers": [ "吴世新" ], "category": "土地利用/土地覆被" }