本数据集为宁夏自治区1:10万基础数据，主要包括Ningxia_City_point(城市居民点)、Ningxia_County_point（县镇居民点）、Ningxia_Town_point（乡镇居民点）、Ningxia_Village_point（乡村居民点）、 Ningxia_Provincial_boundary（省界）、Ningxia_Prefecture_boundary（城镇界）、Ningxia_County_boundary（县界）、Ningxia_Village_boundary（乡镇界）、Ningxia_Rivers(河流)\nNingxia_Rivers_Region(面状河流)、Ningxia_Road（道路）、Ningxia_Landuse (土地利用)、Ningxia_Soil_100k（土壤类型）、Ningxia_Vegetation_1m（植被），\n根据2012年乡镇区划图、专题图及高分辨率影像提取。
\n\nNingxia_Rivers河流数据，有很多支流是没有名称的。
\n\nNingxia_Road 道路数据，很多道路是没有名称的，一些高速、国道及其他道路的转盘等，还有些乡镇道路。
\n\nNingxia_Vegetation_1m植被数据中99及999属性是非植被数据和非植被类型据。
\n\nNingxia_Soil土壤数据中有些是没有测剖面数据，剖面及其他都是空值。
\n\n比例尺为 1:10万
\n\n1、Ningxia_City_point(城市居民点)属性字段
\n\n字段1：NAME城市名称\n数据类型:Text(60)\n字段2：Coad城市编码\n数据类型:Text(30)
\n\n2、Ningxia_County_point(县镇居民点)属性字段
\n\n字段1：NAME城市名称\n数据类型:Text(60)\n字段2：Coad县镇编码\n数据类型:Text(30)
\n\n3、Ningxia_Town_point(乡镇居民点)属性字段
\n\n字段1：NAME城市名称\n数据类型:Text(60)\n字段2：Coad乡镇编码\n数据类型:Text(30)
\n\n4、Ningxia_Village_point (乡村居民点)属性字段
\n\n字段1：NAME城市名称\n数据类型:Text(60)\n字段2：Coad乡村编码\n数据类型:Text(30)
\n\n5、Ningxia_Rivers(河流)属性字段
\n\n字段1：NAME河流名称\n数据类型:Text(60)\n字段2：Shape_leng河流长度\n数据类型:Double(18)\n字段3：Code河流编码\n数据类型:Text(30)
\n\n6、Ningxia_Rivers_region(面状河流)属性字段
\n\n字段1：NAME 河流名称\n数据类型:Text(20)\n字段2：Area 河流面积\n数据类型:Double(19)\n字段3：Code 河流编码\n数据类型:Text(30)
\n\n7、Ningxia_Rode(道路)属性字段
\n\n字段1：NAME道路名称\n数据类型:Text(48)\n字段2：Rf道路等级\n数据类型:Text(16)\n字段3：Shape_leng道路长度\n数据类型:Double(18)\n字段4：Code道路编码\n数据类型:Code(Text，30)
\n\n8、Ningxia_County_boundary (县区界)属性字段
\n\n字段1：NAME县区界名称\n数据类型:Text(50)\n字段2：Code县区界编码\n数据类型:Text(50)
\n\n9、Ningxia_Prefecture_boundary(城镇界)属性字段
\n\n字段1：NAME城市界名称\n数据类型:Text(50)\n字段2：Code城市界编码\n数据类型:Text(30)
\n\n10、Ningxia_Provincial_boundary(省界)属性字段
\n\n字段1：NAME 省界名称\n数据类型:Text(50)\n字段2：Code 省界编码\n数据类型:Text(20)
\n\n11、Ningxia_Village_boundary(乡镇界)属性字段
\n\n字段1：NAME乡镇界名称\n数据类型:Text(100)\n字段2：Code乡镇界编码\n数据类型:Text(30)
\n\n12、Ningxia_Landuse(土地利用)属性字段
\n\n字段1：土地类型 \n数据类型:Text(50)\n字段2：Code土地利用编码\n数据类型:Text(30)
\n\n13、Ningxia_Soil_100k（土壤）属性字段
\n\n字段1: Area(面积)\n 数据类型：Double（14）\n字段2:Perimeter(周长)\n 数据类型：Double（14）\n字段5: SoilCode (三级编码)\n 数据类型：Double（13）\n字段6: 剖面编码\n 数据类型：Long Integer（9）\n字段9: 亚类名称\n 数据类型：Text（23）\n字段10: Pro_Name(行政名称)\n 数据类型：Length（9）\n字段11: 剖面厚度\n 数据类型：Double(10)\n字段12: 石砾\n 数据类型：Text（7）\n字段13:粗砂\n 数据类型：Double（9）\n字段14:细砂\n 数据类型：Double（9）\n字段15:粉砂\n 数据类型：Double（9）\n字段16:粘粒\n 数据类型：Double（9）\n字段17:有机质\n 数据类型：Double（9）\n字段18:PH_H2O\n 数据类型：Double（9）\n字段19:PH_KCL\n 数据类型：Double（9）\n字段20:全氮\n 数据类型：Double（10）\n字段21:全磷\n 数据类型：Double（10）\n字段22:全钾\n 数据类型：Double（10）
\n\n14、Ningxia_Vegetation（植被）属性字段
\n\n字段1: Area(面积)\n 数据类型：Double（14）\n字段2:Perimeter(周长)\n 数据类型：Double（14）\n字段3: VEGETATION\n 数据类型：Double（11）\n字段4: VEGETATI_1\n 数据类型：Double（11）\n字段5: VEGE_ID(植被编码)\n 数据类型：Text(30)\n字段6: 新编码\n 数据类型：Text(13)\n字段7:植被群系和\n 数据类型：Text(131)\n字段8: 植被型编号\n 数据类型：Text(13)\n字段9:植被群系和\n 数据类型：Short Integer(2)\n字段10:植被型\n 数据类型：Text(50)\n字段11: 植被型组编码\n 数据类型：Text(4)\n字段12:植被型组\n 数据类型：Text(12)\n字段13: 植被大类\n 数据类型：Text(10)\n字段14:VEGETATI_2英文植被系数和名称\n 数据类型：Text(245)\n字段15: VEGETATI_3英文植被类型名称\n 数据类型：Text(108)\n字段16: VEGETATI_4英文植被组名称\n 数据类型：Text(211)\n字段17: VEGETATI_5英文植被大类名称\n 数据类型：Text(23)
", "ds_source": "地形图，扫描专题图，遥感影像TM/ETM,ASTER,OSM数据库等数据源。
", "ds_process_way": "利用GIS，ENVI等遥感软件，对所需影像进行精纠正，确保相邻影像的误差小于一个像元，然后经过数字化，严格按照10万比例尺所需提取、整理和修编空间数据和属性数据。
", "ds_quality": "经过精纠正的规划图、地图及遥感影像等数据。
", "ds_acq_start_time": "2012-01-01 00:00:00", "ds_acq_end_time": "2012-12-31 00:00:00", "ds_acq_place": "宁夏自治区", "ds_acq_lon_east": 106.36333333333333, "ds_acq_lat_south": 36.00472222222222, "ds_acq_lon_west": 105.17, "ds_acq_lat_north": 39.03055555555555, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 69683001, "ds_files_count": 2, "ds_format": "shp", "ds_space_res": "/", "ds_time_res": "/", "ds_coordinate": "WGS84", "ds_projection": "/", "ds_thumbnail": "1cefe8e8-9113-46a3-85d3-df2e005febb7.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "lihongxing@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2020-04-22 17:00:46", "last_updated": "2025-06-03 10:07:56", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.776", "i18n": { "en": { "title": "Ningxia Autonomous Region 1:100000 Basic Geographic Dataset (2012)", "ds_format": "shp", "ds_source": "Topographic maps, scanned thematic maps, remote sensing images TM/ETM, ASTER, OSM databases, and other data sources
", "ds_quality": "Data such as finely corrected planning maps, maps, and remote sensing images
", "ds_ref_way": "", "ds_abstract": "This data set is 1:100,000 basic data of Ningxia Autonomous Region. Ningxia_City_point(urban residential point), Ningxia_County_point (county and town residential point), Ningxia_Town_point (township and town residential point), Ningxia_Village_point (rural residential point), ningXIA_city_Point (urban residential point), ningXIA_village_Point (rural residential point), Ningxia_Provincial_boundary (provincial boundary), Ningxia_Prefecture_boundary (town boundary), Ningxia_County_boundary (county boundary), Ningxia_Village_boundary (town boundary) Ningxia_Rivers), ningxia_rivers\nNingxia_Rivers_Region(planar river), Ningxia_Road (road), Ningxia_Landuse (land use), Ningxia_Soil_100k (soil type), Ningxia_Vegetation_1m (vegetation),\nBased on 2012 township zoning map, thematic map and high-resolution image extraction.
\nNingxia_Rivers data, there are many tributaries are not named.
\nNingxia_Road data, many roads are not named, some highways, national roads and other road turntables, and some township roads.
\nNingxia_Vegetation_1m The attributes 99 and 999 in the vegetation data are non-vegetation data and non-vegetation type data.
\nNingxia_Soil Some of the soil data do not have measured profile data, and the profile and others are empty values.
\nScale is 1:100,000
\n1. Ningxia_City_point Attribute field
\nField 1: NAME City name\nData type :Text(60)\nField 2: Coad city code\nData type :Text(30)
\n2. Ningxia_County_point attribute field
\nField 1: NAME City name\nData type :Text(60)\nField 2: Coad County Town code\nData type :Text(30)
\n3. Ningxia_Town_point Attribute field
\nField 1: NAME City name\nData type :Text(60)\nField 2: Coad township code\nData type :Text(30)
\nField 1: NAME City name\nData type :Text(60)\nField 2: Coad village code\nData type :Text(30)
\n5. Ningxia_Rivers Attribute field
\nField 1: NAME River name\nData type :Text(60)\nField 2: Shape_leng River length\nData type :Double(18)\nField 3: Code River code\nData type :Text(30)
\n6. Ningxia_Rivers_region attribute field
\nField 1: NAME River name\nData type :Text(20)\nField 2: Area River area\nData type :Double(19)\nField 3: Code River code\nData type :Text(30)
\n7, Ningxia_Rode(road) attribute field
\nField 1: NAME Name of the road\nData type :Text(48)\nField 2: Rf Road Class\nData type :Text(16)\nField 3: Shape_leng Road length\nData type :Double(18)\nField 4: Code Road code\nData type :Code(Text, 30)
\n8. Ningxia_County_boundary Attribute field
\nField 1: NAME Name of the county boundary\nData type :Text(50)\nField 2: Code County boundary code\nData type :Text(50)
\n9. Ningxia_Prefecture_boundary Attribute field
\nField 1: NAME City boundary name\nData type :Text(50)\nField 2: Code City boundary code\nData type :Text(30)
\n10. Ningxia_Provincial_boundary Attribute field
\nField 1: NAME Name of the provincial boundary\nData type :Text(50)\nField 2: Code Provincial boundary code\nData type :Text(20)
\n11. Ningxia_Village_boundary Attribute field
\nField 1: NAME Name of the township boundary\nData type :Text(100)\nField 2: Code Town boundary code\nData type :Text(30)
\n12, Ningxia_Landuse attribute field
\nField 1: Land type\nData type :Text(50)\nField 2: Code Land use code\nData type :Text(30)
\n13, Ningxia_Soil_100k (soil) Attribute field
\nField 1: Area\nData type: Double (14)\nField 2:Perimeter\nData type: Double (14)\nField 5: SoilCode (three-level encoding)\nData type: Double (13)\nField 6: Profile coding\nData type: Long Integer (9)\nField 9: Subclass name\nData type: Text (23)\nField 10: Pro_Name(Administrative name)\nData type: Length (9)\nField 11: Section thickness\nData type: Double(10)\nField 12: Gravel\nData type: Text (7)\nField 13: Coarse sand\nData type: Double (9)\nField 14: Fine sand\nData type: Double (9)\nField 15: Silt\nData type: Double (9)\nField 16: Clay particles\nData type: Double (9)\nField 17: Organic matter\nData type: Double (9)\nField 18:PH_H2O\nData type: Double (9)\nField 19:PH_KCL\nData type: Double (9)\nField 20: Total nitrogen\nData type: Double (10)\nField 21: Total phosphorus\nData type: Double (10)\nField 22: Total potassium\nData type: Double (10)
\n14, Ningxia_Vegetation Attribute field
\nField 1: Area\nData type: Double (14)\nField 2:Perimeter\nData type: Double (14)\nField 3: VEGETATION\nData type: Double (11)\nField 4: VEGETATI_1\nData type: Double (11)\nField 5: VEGE_ID\nData type: Text(30)\nField 6: New encoding\nData type: Text(13)\nField 7: Vegetation formation and\nData type: Text(131)\nField 8: Vegetation type number\nData type: Text(13)\nField 9: Vegetation formation and\nData type: Short Integer(2)\nField 10: Vegetation type\nData type: Text(50)\nField 11: Vegetation type group coding\nData type: Text(4)\nField 12: Vegetation type group\nData type: Text(12)\nField 13: Vegetation categories\nData type: Text(10)\nField 14:VEGETATI_2 Vegetation coefficient and name in English\nData type: Text(245)\nField 15: VEGETATI_3 English vegetation type name\nData type: Text(108)\nField 16: VEGETATI_4 English vegetation group name\nData type: Text(211)\nField 17: VEGETATI_5 Name of the English vegetation category\nData type: Text(23)
", "ds_time_res": "/", "ds_acq_place": "Ningxia Autonomous Region", "ds_space_res": "/", "ds_projection": "/", "ds_process_way": "Using remote sensing software such as GIS and ENVI, perform precise correction on the required images to ensure that the error of adjacent images is less than one pixel. Then, after digitization, extract, organize, and edit spatial and attribute data strictly according to the 100000 scale requirements
", "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": [ "城镇界", "边界", "土壤类型", "植被", "面状河流", "居民点" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "宁夏" ], "ds_time_tags": [ 2012 ], "ds_contributors": [ { "true_name": "吴立宗", "email": "wulizong@pric.org.cn", "work_for": "国家极地科学数据中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "盖春梅", "email": "Gechm@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": "基础地理" }