本数据包括林地、草地、湿地、耕地、人工表面、其他等6个一级类型和38个二级类型，比例尺1:25万，数据反映2010年新疆土地覆被情况。以1:10万新疆地形图、1:100万新疆土地利用数据、1:100万新疆草地资源数据、1:100万新疆林地资源数据、新疆地区30米分辨率的2010年度TM数据、空间格网精度不低于30米的DEM数据等为数据源，给数据较能全面反映新疆2010年度土地覆被/土地利用现状情况，结合2000、2005年两期新疆土地覆被数据可反映新疆近10年来的土地覆被变化情况，为新疆土地利用研究和国家宏观决策提供科学数据支持。
", "ds_source": "2010年新疆土地覆被数据由中国科学院新疆生态与地理研究所独立完成，以1:100万新疆土地利用数据和遥感分类数据的基础上，采用全数字化的方式完成，主要数据源： 1. 1:100万新疆土地利用数据； 2. 30米分辨率的2010年度TM数据； 3. 30米分辨率的DEM数据； 4. 辅助数据1:100万新疆草地资源数据（矢量），1:100万新疆林地资源数据（矢量）； 5. 2009-2010年实地考察定位获取的照片和记录资料 上述数据均来自历年科研成果的积累。
", "ds_process_way": "在ERDAS、eCognition和ArcGIS等环境下，通过专家分析和遥感自动分类相结合的方法，配合野外实地考察成果进行解译精度验证，按照内容和区域，采用专题制图的方式完成的。主要环节：\n基于1:100万新疆土地利用数据作为基本底图，作为制图的框架数据和控制基础；\n基于2010年前后1-2年时间范围内的TM影像数据，通过叠加空间格网精度不低于30米的DEM数据，生成正射影像图，利用遥感影像分析软件Ecognition对正射图进行遥感解译，实现不同土地覆被类型的属性划分和制图；\n在上述3种数据的基础上，结合人工目视判读，野外实地考察成果，进行全数字成图。
", "ds_quality": "样区尺度的土地覆盖的一级类别总精度达到95%，二级类别总精度达到85%，森林、灌木的二级类别精度分别达到85%，其它单类别的最低精度达到65%；每个气候分区的二级类别总精度达到85%；变化检测二级类别总精度大于72%，单类别的最低精度达到42%。
", "ds_acq_start_time": "2010-01-01 00:00:00", "ds_acq_end_time": "2010-12-31 00:00:00", "ds_acq_place": "新疆维吾尔自治区", "ds_acq_lon_east": 108.0, "ds_acq_lat_south": 27.0, "ds_acq_lon_west": 73.0, "ds_acq_lat_north": 49.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 304021744, "ds_files_count": 4, "ds_format": "矢量", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "Albers椭球体正轴等面积双标准纬线割圆锥投影", "ds_thumbnail": "c6c80fd9-bdd5-4308-b8cc-0969a170944a.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李锦", "ds_serv_phone": "09917827369", "ds_serv_mail": "lijin@ms.xjb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-09-24 15:24:17", "last_updated": "2023-08-23 17:03:32", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1298", "license": null, "i18n": { "en": { "title": "1:250000 Land Cover Data of Xinjiang in 2010", "ds_format": "vector", "ds_source": "In 2010, Xinjiang land cover data was independently completed by Xinjiang Institute of ecology and geography, Chinese Academy of Sciences. On the basis of 1:1 million Xinjiang land use data and remote sensing classification data, it was completed in a full digital way. The main data sources are: 1.1:1 million Xinjiang land use data; 2. 2010 TM data with a resolution of 30 meters; 3. DEM data with a resolution of 30 meters; 4 Auxiliary data: 1:1 million Xinjiang grassland resource data (vector), 1:1 million Xinjiang woodland resource data (vector); 5. The above data are from the accumulation of scientific research achievements over the years.
", "ds_quality": "The results show that the total precision of the first class of land cover is 95%, the second class is 85%, the second class of forest and shrub is 85%, and the lowest precision of other single class is 65%; the total precision of the second class of each climate zone is 85%; the total precision of the second class of change detection is more than 72%, and the lowest precision of single class is 42%.
", "ds_ref_way": "", "ds_abstract": "This data includes six first-class types and 38 second-class types, including forest land, grassland, wetland, cultivated land, artificial surface and others, with a scale of 1:250000. The data reflects the land cover in Xinjiang in 2010. Taking 1:100000 Xinjiang topographic map, 1:1 million Xinjiang land use data, 1:1 million Xinjiang grassland resources data, 1:1 million Xinjiang forest land resources data, 2010 TM data with a resolution of 30 meters in Xinjiang area, DEM data with a spatial grid accuracy of no less than 30 meters as data sources, under the environment of ERDAS, ecognition and ArcGIS, the method of combining expert analysis and remote sensing automatic classification is adopted In accordance with the contents and regions, thematic mapping is used to complete the interpretation accuracy verification in cooperation with the field investigation results. See the data document for the definition and code meaning of each type. The data can comprehensively reflect the current situation of land cover / land use in Xinjiang in 2010. Combined with the data of land cover in 2000 and 2005, it can reflect the land cover changes in Xinjiang in the past 10 years, and provide scientific data support for Xinjiang land use research and national macro decision-making.
", "ds_time_res": "年", "ds_acq_place": "Xinjiang Uygur Autonomous Region", "ds_space_res": "", "ds_projection": "Orthogonal equal area double standard weft secant conic projection of Albers ellipsoid", "ds_process_way": "Under the environment of ERDAS, ecognition and ArcGIS, through the combination of expert analysis and remote sensing automatic classification, and with the results of field investigation, the interpretation accuracy is verified. According to the content and area, the method of thematic mapping is adopted. Main links:\nBased on 1:1 million Xinjiang land use data as the basic base map, as the frame data and control basis of mapping;\nBased on the TM image data within the time range of 1-2 years before and after 2010, the orthophoto map is generated by superposition of DEM data whose spatial grid accuracy is not less than 30 meters. The orthophoto map is interpreted by remote sensing image analysis software ecognition to realize the attribute division and mapping of different land cover types;\nOn the basis of the above three kinds of data, combined with the results of artificial visual interpretation and field investigation, full digital mapping is carried out.
", "ds_ref_instruction": "In order to respect intellectual property rights, protect the rights and interests of data authors, expand the services of data centers, and evaluate the application potential of data, data users are requested to clearly indicate the data source and data authors in the research results (including published papers, works, data products and unpublished research reports, data products, etc.) produced by using data. For data reprinted (secondary or multiple releases), the author must also indicate the source of the original data." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "土地利用", "LUCC", "土地覆被" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆维吾尔自治区" ], "ds_time_tags": [ 2010 ], "ds_contributors": [ { "true_name": "吴世新", "email": "wsx@ms.xjb.ac.cn", "work_for": "中科院新疆生态与地理研究所", "country": "" } ], "ds_meta_authors": [ { "true_name": "李锦", "email": "lijin@ms.xjb.ac.cn", "work_for": "新疆生态与地理研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "李锦", "email": "lijin@ms.xjb.ac.cn", "work_for": "新疆生态与地理研究所", "country": "中国" }, { "true_name": "吴世新", "email": "wsx@ms.xjb.ac.cn", "work_for": "中科院新疆生态与地理研究所", "country": "" } ], "category": "基础地理" }