{
    "created": "2019-10-10 16:12:32",
    "updated": "2026-04-04 05:36:57",
    "id": "6fec4a1f-bbc6-4cd2-ac0f-bb141a2ce713",
    "version": 2,
    "ds_topic": "c6f9fed5-f7bf-4502-a904-d99914875270",
    "title_cn": "中亚五国30mDEM数据(2000年)",
    "title_en": "30mDEM data for five Central Asian countries (2000)",
    "ds_abstract": "<p>本数据包含了中亚五国范围内丰富的地形、地貌、水文信息，能够直观展现该区域的地形、地貌特征，通过DEM可以提取大量的地表形态信息，如坡度、坡向、水系等等。ASTER GDEM 30米分辨率高程数据来源于NASA，ASTER GDEM数据采用UTM/WGS84投影，数据格式为img栅格影像，数据的值域范围为-300-7445米之间，其垂直精度20米，水平精度30米。本数据为2000年中亚五国区域东经45°-108°，北纬32°-56°范围的DEM数据。</p>",
    "ds_source": "<p>原始数据由吉尔吉斯斯坦地图局提供，原始数据中包括行政区划、城市、铁路、公路、水系、名胜古迹6类要素，交通分类标准以吉尔吉斯斯坦国家标准为主。SRTM（ShuttleRadarTopographyMission）30米分辨率高程数据由美国太空总署（NASA）和国防部国家测绘局（NIMA）联合测量。SRTM系统获取的雷达影像的数据量约为9.8万亿字节，经过两年多的数据处理，制成了数字地形高程模型（DEM），即现在的SRTM3地形产品数据。</p>",
    "ds_process_way": "<p>预处理：利用Arcmap10.2软件打开DEM高程数据，经过栅格计算和再分类计算得到正常海拔值（-227-7050米）的DEM数据，经由中亚五国边界裁剪，得到该数据。 DEM渲染图处理：由预处理后的DEM数据分别生成山体阴影数据（Zfactor=5），山体阴影数据与DEM数据叠加生成DEM渲染图。该渲染图可由用户根据自身需要再加工处理。</p>",
    "ds_quality": "<p>本数据集利用ASTER GDEM第一版本（V1）的数据进行加工得来，是全球空间分辨率为30米的数字高程数据产品。由于云覆盖，边界堆叠产生的直线，坑，隆起，大坝或其他异常等的影响，ASTER GDEM第一版本原始数据局部地区存在异常，所以由ASTER GDEMV1加工的数字高程数据产品存在个别区域的数据异常现象，可以和全球90米分辨率数字高程数据产品互相补充使用。</p>",
    "ds_acq_start_time": "2000-01-01 00:00:00",
    "ds_acq_end_time": "2015-12-12 00:00:00",
    "ds_acq_place": "中亚五国，新疆维吾尔自治区",
    "ds_acq_lon_east": 108.0,
    "ds_acq_lat_south": 32.0,
    "ds_acq_lon_west": 45.0,
    "ds_acq_lat_north": 56.0,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 5444605871,
    "ds_files_count": 4,
    "ds_format": "栅格",
    "ds_space_res": null,
    "ds_time_res": "年",
    "ds_coordinate": "WGS84",
    "ds_projection": "UTM投影",
    "ds_thumbnail": "6fec4a1f-bbc6-4cd2-ac0f-bb141a2ce713.jpg",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "None",
    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2021-09-24 15:21:32",
    "last_updated": "2023-08-23 17:03:02",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.nieer.2020.1463",
    "license": null,
    "i18n": {
        "en": {
            "title": "30mDEM data for five Central Asian countries (2000)",
            "ds_format": "Raster",
            "ds_source": "<p>The original data is provided by the Kyrgyz Map Bureau, which includes six categories of elements: administrative divisions, cities, railways, highways, water systems, and scenic spots. The transportation classification standards are mainly based on the Kyrgyz national standards. SRTM (ShuttleRadarTopographyMission) 30 meter resolution elevation data was jointly measured by NASA and the National Surveying and Mapping Administration (NIMA) of the Department of Defense. The data volume of radar images obtained by the SRTM system is approximately 9.8 trillion bytes. After more than two years of data processing, a digital terrain elevation model (DEM), now known as the SRTM3 terrain product data, has been developed</ p>",
            "ds_quality": "<p>This dataset was processed using ASTER GDEM first version (V1) data and is a digital elevation data product with a global spatial resolution of 30 meters. Due to the influence of straight lines, pits, ridges, dams, or other anomalies generated by cloud coverage and boundary stacking, there are anomalies in some areas of the original data of the first version of ASTER GDEM. Therefore, the digital elevation data products processed by ASTER GDEMV1 have individual regional data anomalies, which can be complementary to the global 90 meter resolution digital elevation data products</ p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>This data contains rich terrain, geomorphology, and hydrological information within the five Central Asian countries, which can intuitively display the terrain and geomorphic characteristics of the region. Through DEM, a large amount of surface morphology information can be extracted, such as slope, aspect, water system, and so on. The ASTER GDEM 30 meter resolution elevation data is sourced from NASA, and the ASTER GDEM data is projected using UTM/WGS84. The data format is img raster image, with a range of values ranging from -300 to 7445 meters, with a vertical accuracy of 20 meters and a horizontal accuracy of 30 meters. This data is the DEM data of the five Central Asian countries in the range of 45 ° -108 ° E and 32 ° -56 ° N in 2000</p>",
            "ds_time_res": "年",
            "ds_acq_place": "Five Central Asian countries, Xinjiang Uyghur Autonomous Region",
            "ds_space_res": "",
            "ds_projection": "UTM projection",
            "ds_process_way": "<p>Pre processing: Open the DEM elevation data using Arcmap10.2 software, and obtain the normal elevation value (-227-7050 meters) DEM data through grid calculation and reclassification calculation. Crop the data through the borders of the five Central Asian countries to obtain this data. DEM rendering image processing: The preprocessed DEM data is used to generate mountain shadow data (Zfactor=5), and the mountain shadow data is overlaid with the DEM data to generate a DEM rendering image. The rendered image can be further processed by the user according to their own needs</ p>",
            "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 requested to clearly indicate the data source and data authors in the research results (including published papers, works, data products and unpublished research reports, data products, etc.) produced by using data. For data reprinted (secondary or multiple releases), the author must also indicate the source of the original data."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "数字地面模型",
        "DEM",
        "遥感数据\\DEM数据",
        "数字高程",
        "中亚五国",
        "遥感影像"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中亚五国"
    ],
    "ds_time_tags": [
        2000
    ],
    "ds_contributors": [
        {
            "true_name": "方晖",
            "email": "fanghui@ms.xjb.ac.cn",
            "work_for": "新疆生态与地理研究所",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "李锦",
            "email": "lijin@ms.xjb.ac.cn",
            "work_for": "新疆生态与地理研究所",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "方晖",
            "email": "fanghui@ms.xjb.ac.cn",
            "work_for": "新疆生态与地理研究所",
            "country": "中国"
        }
    ],
    "category": "基础地理"
}