{
    "created": "2024-09-25 16:24:50",
    "updated": "2026-08-08 11:13:00",
    "id": "fd41f5f0-ccd6-4212-b6e9-a6cb3c5cac1d",
    "version": 6,
    "ds_topic": null,
    "title_cn": "2010年中亚五国1：100万基础地理要素矢量数据集",
    "title_en": "",
    "ds_abstract": "<p>本数据包括中亚五国国界、州界、河流、湖泊、道路、铁路、居民点、城市等8个基础地理要素，面状、线状和名称标注17个矢量文件，采用GCS_WGS_1984经纬度投影，以1990年度ESRI DCW数据集（1993版）结合2010年度TM遥感影像和1:10万地形图为数据源，利用ERDAS和ArcGIS软件平台，经过处理，生成中亚基础地理矢量数据。比例尺为1：100万。</p>",
    "ds_source": "<p>中亚基础地理数据由中国科学院新疆生态与地理研究所采用全数字化的方式独立完成，主要数据源：\n1.  1990年度1：100万ESRI DCW数据集；\n2.  2010年度TM遥感数据\n3.  1:10万地形图\n上述数据来自马里兰大学网站和研究所多年科研成果的积累。</p>\n<p>DCW，The Digital Chart of the World的缩写，是ESRI公司产品，最初是为美国国防地图机构DMA开发的产品。本数据使用的是DCW1993版，比例尺为1：100万。</p>",
    "ds_process_way": "<p>利用ERDAS和ArcGIS软件平台，通通过进行筛选整理、数据拼接及数据分层处理生成中亚基础地理数据。\n主要环节：\n1.  数据筛选整理，从ESRI DCW数据集挑选出感兴趣的专题要素，整理TM数据和相应的地形图；\n2.  数据拼接，对已处理的TM数据进行镶嵌拼接，作为对专题要素的修改的底图；\n3.  数据分层，对数字化处理之后的专题要素进行overlay。\n</p>",
    "ds_quality": "<p>数据采集按照矢量化标准执行，严格按照TM和地形图进行修正。</p>",
    "ds_acq_start_time": "2010-01-01 00:00:00",
    "ds_acq_end_time": "2010-12-31 00:00:00",
    "ds_acq_place": "哈萨克斯坦；吉尔吉斯坦；塔吉克斯坦；乌兹别克斯坦；土库曼斯坦",
    "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": "login-access",
    "ds_total_size": 6116505,
    "ds_files_count": 1,
    "ds_format": "矢量数据",
    "ds_space_res": "1:100万",
    "ds_time_res": "年",
    "ds_coordinate": "WGS84",
    "ds_projection": "WGS84",
    "ds_thumbnail": "fd41f5f0-ccd6-4212-b6e9-a6cb3c5cac1d.png",
    "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": "2025-03-12 19:11:53",
    "first_publish_time": null,
    "last_updated": "2025-05-28 14:39:25",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "33110.11.ariddc.00142",
    "license": null,
    "extra": null,
    "files_shape": [
        {
            "name": "Data.rar",
            "size": 6116505,
            "is_dir": false
        }
    ],
    "features": null,
    "data_level": 0,
    "i18n": {
        "en": {
            "title": "2010 1:1 million vector dataset of basic geographical elements for the five Central Asian countries",
            "ds_abstract": "<p>This data includes 8 basic geographical elements including borders, state boundaries, rivers, lakes, roads, railways, residential areas, and cities of the five Central Asian countries, and 17 vector files with area, line and name labeling. GCS_WGS_1984 longitude and latitude projection is used. The 1990 ESRI DCW dataset (1993 version) combined with 2010 TM remote sensing images and 1: 100,000 topographic maps are used as data sources, and the ERDAS and ArcGIS software platforms are used to generate basic geographical vector data for Central Asia. The scale is 1:1 million. </p>",
            "ds_source": "<p>The basic geographical data of Central Asia was independently completed by the Xinjiang Institute of Ecology and Geography of China Academy of Sciences in a fully digital way. The main data sources are:\n1.  1990 Year 1:1 million ESRI DCW dataset;\n2.  2010 TM remote sensing data\n3.  1: 100,000 topographic map\nThe above data comes from the University of Maryland website and research institute's accumulation of years of scientific research results. </p>\n<p>DCW, abbreviation for The Digital Chart of the World, is an ESRI product originally developed for the U.S. Defense Mapping Agency DMA. This data uses DCW1993 version, and the scale is 1:1 million. </p>",
            "ds_process_way": "<p>Using ERDAS and ArcGIS software platforms, basic geographical data in Central Asia is generated through screening, data splicing and data layering.\nMain links:\n1.  Data screening and sorting, selecting interesting thematic elements from the ESRI DCW dataset, and sorting TM data and corresponding topographic maps;\n2.  Data splicing: mosaic and splicing the processed TM data as a base map for the modification of thematic elements;\n3.  Data is layered and thematic elements after digital processing are overlaid.\n</p>",
            "ds_quality": "<p>Data collection is carried out in accordance with vectorization standards and corrected strictly in accordance with TM and topographic maps. </p>",
            "ds_acq_place": "Kazakhstan; Kyrgyzstan; Tajikistan; Uzbekistan; Turkmenistan",
            "ds_format": "vector data",
            "ds_projection": "WGS84",
            "ds_space_res": "1:1 million",
            "ds_time_res": "years"
        }
    },
    "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": [
        "道路",
        "行政界线",
        "河流"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中亚"
    ],
    "ds_time_tags": [
        2010
    ],
    "ds_contributors": [
        "方晖",
        "陈曦"
    ],
    "ds_meta_authors": [
        "方晖"
    ],
    "ds_managers": [
        "李锦"
    ],
    "category": "基础地理"
}