2012年新编黑河流域2000年土地利用/土地覆盖是中科院寒旱所遥感研究室，以卫星遥感为手段，基于2000年左右LandsaTM和ETM遥感数据，综合野外考察验证，建立了黑河流域1：10万土地利用/土地覆盖影像和矢量数据库。包括的内容主要有：黑河流域1:10万土地利用图形数据和属性数据。
\n\n黑河流域1：10万（2011年）土地覆被数据和以往土地覆被采用同一个分层的土地覆被分类系统，将全流域划分为6个一级类（耕地、林地、草地、水域、城镇和农村居民及工矿用地和未利用土地），25个二级类；数据类型为矢量多边形，以Shape格式存储。。
", "ds_source": "2012年新编黑河流域2000年土地利用/土地覆盖是中科院寒旱所遥感研究室，以卫星遥感为手段，基于2000年左右LandsaTM和ETM遥感数据，综合野外考察验证，建立了黑河流域1：10万土地利用/土地覆盖影像和矢量数据库。包括的内容主要有：黑河流域1:10万土地利用图形数据和属性数据。
", "ds_process_way": "数字矢量化
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2000-12-31 00:00:00", "ds_acq_place": "黑河流域", "ds_acq_lon_east": 104.19972222222222, "ds_acq_lat_south": 37.7, "ds_acq_lon_west": 96.06666666666666, "ds_acq_lat_north": 43.266666666666666, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 152126023, "ds_files_count": 8, "ds_format": "矢量", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ", "ds_thumbnail": "d8594848-d25e-4064-88e8-8f027c79cdf5.png", "ds_thumb_from": 0, "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": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-01-11 15:25:25", "last_updated": "2023-08-23 16:47:00", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.450", "i18n": { "en": { "title": "A new 2000 land use/land cover dataset for the Heihe River Basin was compiled in 2012", "ds_format": "vector", "ds_source": "In 2012, the newly compiled Heihe River basin land use / land cover in 2000 is the Remote Sensing Research Office of Institute of cold and drought of Chinese Academy of Sciences. By means of satellite remote sensing, based on the landsatm and ETM Remote sensing data around 2000 and comprehensive field investigation and verification, a 1:100000 land use / land cover image and vector database of Heihe River Basin was established. The main contents include: 1:100000 land use graph data and attribute data of Heihe River Basin.
", "ds_quality": "Good data quality
", "ds_ref_way": "", "ds_abstract": "The new edition of land use / land cover in Heihe River Basin in 2012 is the Remote Sensing Research Office of Institute of cold and drought, Chinese Academy of Sciences. By means of satellite remote sensing, based on landsatm and ETM Remote sensing data around 2000, a 1:100000 land use / land cover image and vector database of Heihe River Basin was established. The main contents include: 1:100000 land use graph data and attribute data of Heihe River Basin.
\nThe 1:100000 (2011) land cover data of Heihe River Basin and the previous land cover use the same hierarchical land cover classification system, and the whole basin is divided into 6 primary categories (cultivated land, forest land, grassland, water area, urban and rural residents and industrial and mining land and unused land), 25 secondary categories; the data type is vector polygon, stored in shape format..
", "ds_time_res": "", "ds_acq_place": "Heihe River Basin", "ds_space_res": "", "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ", "ds_process_way": "Digital Vectorization
", "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": [ "土地覆盖", "土地利用", "基础地理" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域" ], "ds_time_tags": [ 2000 ], "ds_contributors": [ { "true_name": "王建华 ", "email": "jhwang@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_meta_authors": [ { "true_name": "黑河计划数据管理中心", "email": "westdc@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "ds_managers": [ { "true_name": "王建华 ", "email": "jhwang@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": "生态" }