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2000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2000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，结合2005、2010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": "2000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2005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）； 上述数据均来自历年科研成果的积累。
", "ds_process_way": "采集2000年前后1-2年时间范围内的TM影像数据，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，加入人工目视判读，配合野外实地考察成果进行解译精度验证，生成土地覆被数据。\n行政区划边界以1：100 000地形图上的行政边界为准；每个土地覆盖类别外业标定采样率，平均每影像块50个点，每片区多于5000个点；野外调查时间与影像获取时间间隔小于1年；外业标定空间定位精度优于15米；采样照片占采样点大于10%。
", "ds_quality": "样区尺度的土地覆盖的一级类别总精度>95%，二级类别总精度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>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>42%。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2000-12-31 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": "apply-access", "ds_total_size": 286715495, "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": "84382015-db02-40fb-8d89-cb9b3955bfc3.jpg", "ds_thumb_from": 0, "ds_ref_way": "吴世新，2000年新疆1:25万土地覆被数据，中科院新疆生态与地理研究所，2011", "paper_ref_way": "", "ds_ref_instruction": null, "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": null, "quality_level": 3, "publish_time": "2021-01-05 16:14:07", "last_updated": "2023-08-23 02:10:02", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1299", "i18n": { "en": { "title": "1:250000 land cover data of Xinjiang in 2000", "ds_format": "", "ds_source": "In 2000, Xinjiang land cover data was independently completed by Xinjiang Institute of ecology and geography, Chinese Academy of Sciences, based on 1:1 million Xinjiang land use data and remote sensing classification data, using full digital method. The main data sources are: 1.1:1 million Xinjiang land use data; 2.30 m resolution of 2005 TM data; 3.30 m resolution of DEM data; 4 The auxiliary data are 1:1 million Xinjiang grassland resource data (vector) and 1:1 million Xinjiang woodland resource data (vector), all of which come from the accumulation of scientific research achievements over the years.
", "ds_quality": "The total precision of the first class, the second class, the forest and the shrub, the other single class, the climate zone, the change detection, the second class and the single class is 95%, 85%, 65%, 85%, 65%, 85%, 72% and 42%, respectively.
", "ds_ref_way": "Wu Shixin, 1:250000 land cover data of Xinjiang in 2000, Xinjiang Institute of ecology and geography, Chinese Academy of Sciences, 2011
", "ds_abstract": "The data includes six primary types and 38 secondary types, including woodland, grassland, wetland, cultivated land, artificial surface and others, with a scale of 1:250000. The data reflects the land cover situation of Xinjiang in 2000. Combined with the TM data of land use, grassland and land cover in Xinjiang with the resolution of 1:1:1 million in 2005, the land cover and land cover in Xinjiang are less than 100 000 meters To provide scientific data support for land use research and national macro decision-making in Xinjiang.
", "ds_time_res": "年", "ds_acq_place": "Xinjiang Uygur Autonomous Region", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Collect TM image data within 1-2 years before and after 2000, overlay DEM data with spatial grid accuracy no less than 30 meters, and generate Orthophoto Image. Ecognition, a remote sensing image analysis software, is used to interpret the orthophoto, add artificial visual interpretation, cooperate with the field investigation results to verify the interpretation accuracy, and generate land cover data.\nThe boundary of administrative division is subject to the administrative boundary on the 1:100000 topographic map; the field calibration sampling rate of each land cover category is 50 points per image block, more than 5000 points per area; the time interval between field survey and image acquisition is less than 1 year; the spatial positioning accuracy of field calibration is better than 15m; the sampling photos account for more than 10% of the sampling points.
", "ds_ref_instruction": " \nIn 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", "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", "LUCC", "土地利用" ], "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": [ 2000 ], "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" }