一、概述
\n\n本数据集以卫星遥感为手段，基于Landsat MSS, TM和ETM遥感数据构建的。本数据采用一个分层的土地覆盖分类系统，将全区域分为6个一级分类（耕地、林地、草地、水域、城乡、工矿、居民用地与未利用土地），31个二级分类。
\n\n二、数据处理说明
\n\n数据集基于Landsat MSS、TM与ETM遥感数据为底图，数据集投影设置为Alberts等积投影，将比例尺放在1:24000下进行人机交互目视解译，数据集存储形式为ESRI coverage格式。
\n\n三、数据内容说明
\n\n本数据集采用分层土地覆盖分类系统，共分为6个一级分类（耕地、林地、草地、水域、城乡、工矿、居民用地与未利用土地），31个二级分类。
\n\n四、数据使用说明
\n\n主要应用于国家土地资源调查、气候变化、水文、生态研究工作中。
", "ds_source": "Landsat MSS, TM和ETM遥感数据
", "ds_process_way": "数据集基于Landsat MSS、TM与ETM遥感数据为底图，数据集投影设置为Alberts等积投影，将比例尺放在1:24000下进行人机交互目视解译，数据集存储形式为ESRI coverage格式。
", "ds_quality": "数据集通过严格的人工审核控制质量
", "ds_acq_start_time": "2010-01-01 00:00:00", "ds_acq_end_time": "2010-12-31 00:00:00", "ds_acq_place": "黄河上游", "ds_acq_lon_east": 112.0, "ds_acq_lat_south": 32.0, "ds_acq_lon_west": 95.0, "ds_acq_lat_north": 42.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 42170744, "ds_files_count": 4, "ds_format": "ESRI coverage", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ", "ds_thumbnail": "ec96092b-f978-4cbf-b53b-67a5d1d0bcc7.png", "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": "薛娴", "ds_serv_phone": "0931-4967567", "ds_serv_mail": "xianxue@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2020-03-26 09:15:20", "last_updated": "2023-08-23 16:46:33", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.573", "i18n": { "en": { "title": "1:100,000 land use data for the upper reaches of the Yellow River in 2010", "ds_format": "ESRI coverage", "ds_source": "Remote sensing data of Landsat MSS, TM and ETM
", "ds_quality": "Data set quality control through strict manual audit
", "ds_ref_way": "", "ds_abstract": "1、 Overview
\nThis dataset is based on LANDSAT MSS, TM and ETM Remote sensing data. Using a hierarchical land cover classification system, the data divides the whole region into six first-class classifications (cultivated land, forest land, grassland, water area, urban and rural areas, industrial and mining land, residential land and unused land), and 31 second-class classifications.
\n2、 Data processing instructions
\nThe data set is based on the LANDSAT MSS, TM and ETM Remote sensing data as the base map, the projection of the data set is set as the Alberts equal product projection, the scale is placed at 1:24000 for human-computer interactive visual interpretation, and the storage form of the data set is ESRI coverage format.
\n3、 Data content description
\nThe data set adopts a hierarchical land cover classification system, which is divided into 6 first-class classifications (cultivated land, forest land, grassland, water area, urban and rural areas, industrial and mining land, residential land and unused land), and 31 second-class classifications.
\n4、 Data use instructions
\nIt is mainly used in national land resources investigation, climate change, hydrology and ecological research.
", "ds_time_res": "", "ds_acq_place": "Upper Yellow River", "ds_space_res": "", "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ", "ds_process_way": "The data set is based on the LANDSAT MSS, TM and ETM Remote sensing data as the base map, the projection of the data set is set as the Alberts equal product projection, the scale is placed at 1:24000 for human-computer interactive visual interpretation, and the storage form of the data set is ESRI coverage format.
", "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 invited to use the data Students' research results (including published papers, treatises, data products and unpublished research reports, data products, etc.) shall be clearly indicated with data Source and data author. For data reprinted (secondary or multiple releases), the author must also indicate the source of the original data. The results published in Chinese refer to the following specifications:\r\n\r\nData source: national key basic research and planning project (973), \"process and regulation mechanism of aeolian sand flow and sediment in broad valley of desert in the upper reaches of the Yellow River\" topic 6, \"desert in the upper reaches of the Yellow River\"Prediction of the evolution trend of river erosion and deposition in kuangu section and its control measures -- a comprehensive data platform for Ningmeng reach of the upper Yellow River, http://westdc.westgis.ac.cn/yrnmr.\r\n\r\nThe data set is provided by \"comprehensive data platform of Ningxia-Inner Mongolia Reach of the Yellow River”, National KeyBasic Research Program of China (2011CB403306), http://westdc.westgis.ac.cn/yrnmr”" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "土地利用" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黄河上游" ], "ds_time_tags": [ 2010 ], "ds_contributors": [ { "true_name": "薛娴", "email": "xianxue@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": "杜鹤强", "email": "dilikexue119@163.com", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "ds_managers": [ { "true_name": "薛娴", "email": "xianxue@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" }