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，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2005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，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。各类型的定义和代码含义见本数据文档。给数据较能全面反映新疆2005年度土地覆被/土地利用现状情况，结合2000、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": "1. 1:100万新疆土地利用数据；\n2. 30米分辨率的2005年度TM数据；\n3. 30米分辨率的DEM数据；\n4.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）；\n5. 2004-2005年实地考察定位获取的照片和记录资料。\n
", "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2005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。\n
", "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": "2013-01-01 00:00:00", "ds_acq_end_time": "2013-12-31 00:00:00", "ds_acq_place": "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": 337913445, "ds_files_count": 2, "ds_format": "shp格式", "ds_space_res": "无", "ds_time_res": "无", "ds_coordinate": "WGS84", "ds_projection": "WGS84", "ds_thumbnail": "d9ffc1a5-9d7c-4898-9c52-d7e038d30158.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": [ "170.45" ], "quality_level": 1, "publish_time": "2025-04-22 18:42:18", "first_publish_time": null, "last_updated": "2025-05-28 17:33:22", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00381", "license": null, "extra": null, "files_shape": [ { "name": "XJ_LUCC_2005-data.rar", "size": 337895141, "is_dir": false }, { "name": "土地利用类型代码说明.docx", "size": 18304, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "Xinjiang land cover data of 1: 250,000 in 2005", "ds_abstract": "This data includes 6 first-level types and 38 second-level types of forest land, grassland, wetland, cultivated land, artificial surfaces, and others. It uses 1: 100,000 Xinjiang topographic map, 1:1 million Xinjiang land use data, 1:1 million Xinjiang grassland resource data, 1:1 million Xinjiang forest land resource data, 2005 TM data with a resolution of 30 meters in Xinjiang, DEM data with a spatial grid accuracy of not less than 30 meters, etc. as data sources, in ERDAS, eCognition and ArcGIS and other environments, through the combination of expert analysis and remote sensing automatic classification, and the results of field inspections, interpretation accuracy verification is carried out, and thematic mapping is used according to the content and region. See this data document for the definitions and code meanings of each type. The data can more comprehensively reflect the current situation of land cover/land use in Xinjiang in 2005. Combined with Xinjiang land cover data in 2000 and 2010, it can reflect the changes in land cover in Xinjiang in the past 10 years, providing scientific data support for Xinjiang's land use research and national macro decision-making.
", "ds_source": "1. 1:1 million Xinjiang land use data;\n2. 2005 TM data with a resolution of 30 meters;\n3. DEM data with a resolution of 30 meters;\n4. Auxiliary data 1:1 million Xinjiang grassland resource data (vector), 1:1 million Xinjiang forest land resource data (vector);\n5. 2004-2005 Photos and recorded data obtained from field inspections and positioning in 2000.\n
", "ds_process_way": "In environments such as ERDAS, eCognition, and ArcGIS, through a combination of expert analysis and remote sensing automatic classification, combined with field field inspection results to verify the interpretation accuracy, it is completed by using thematic mapping according to the content and area. Main links:\nBased on 1:1 million Xinjiang land use data as the basic base map, as the framework data and control basis for mapping;\nBased on TM image data within a time range of 1-2 years before and after 2005, an orthophoto map is generated by superposing DEM data with a spatial grid accuracy of not less than 30 meters, and remote sensing image analysis software Ecogitation is used to remotely sense the orthophoto map. Interpret, realize attribute division and mapping of different land cover types;\nOn the basis of the above three types of data, combined with manual visual interpretation and field inspection results, full digital mapping is carried out.\n
", "ds_quality": "The total accuracy of the first-level category of land cover at the sample scale is>95%, the total accuracy of the second-level category is 85%, the accuracy of the second-level category of forests and shrubs reaches 85% respectively, and the lowest accuracy of other single categories is>65%; The total accuracy of the second-level category of each climate zone reaches 85%; the total accuracy of the second-level category of change detection is greater than 72%, and the lowest accuracy of the single category is greater than 42%.
", "ds_acq_place": "Xinjiang", "ds_format": "SHP format", "ds_projection": "WGS84", "ds_space_res": "no", "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": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国新疆" ], "ds_time_tags": [ 2005 ], "ds_contributors": [ "吴世新" ], "ds_meta_authors": [ "李锦" ], "ds_managers": [ "李锦" ], "category": "土地利用/土地覆被" }