{
    "created": "2019-10-10 16:11:12",
    "updated": "2026-04-10 10:54:50",
    "id": "8e9e24d3-6b9d-4758-9c9c-390a23a61dbb",
    "version": 2,
    "ds_topic": "c6f9fed5-f7bf-4502-a904-d99914875270",
    "title_cn": "中亚五国90mDEM数据（2000年）",
    "title_en": "90mDEM 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。SRTM 90米分辨率高程数据来源于CIAT，数据时间为2000年，SRTM数据采用WGS84椭球投影，经过本单位工作人员对原始下载数据的预处理和处理，得到中亚五国90米DEM数据集（srtm90m_ca），数据的海拔数值为-227-7050米之间，空数据用-32768表示，DEM数据格式为IMG栅格影像，水平精度20米，高程精度16米，数据范围为东经45°-108°，北纬32°-56°。</p>",
    "ds_source": "<p>SRTM（ShuttleRadarTopographyMission）90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>所有处理过程均未对数据进行破坏，完整保留了原始数据的属性信息。渲染图的生产只是让用户看清数据的精细程度，没有添加其他要素。本数据分辨率为90米，可以和30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": "2001-12-31 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": 1011379347,
    "ds_files_count": 5,
    "ds_format": "栅格",
    "ds_space_res": null,
    "ds_time_res": "年",
    "ds_coordinate": "WGS84",
    "ds_projection": "WGS84投影",
    "ds_thumbnail": "8e9e24d3-6b9d-4758-9c9c-390a23a61dbb.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": [],
    "quality_level": 3,
    "publish_time": "2021-09-24 15:23:33",
    "last_updated": "2023-08-23 17:03:02",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.nieer.2020.1462",
    "i18n": {
        "en": {
            "title": "90mDEM data for five Central Asian countries (2000)",
            "ds_format": "Raster",
            "ds_source": "<p>The 90 meter resolution elevation data of SRTM (Shuttle Radar Topography Mission) are jointly measured by NASA and NIMA. The amount of radar image data acquired by SRTM system is about 9.8 trillion bytes. After more than two years of data processing, a digital terrain elevation model (DEM) is made, which is the current SRTM3 terrain product data. </p>",
            "ds_quality": "<p>All the processing procedures did not destroy the data, and completely retained the attribute information of the original data. The production of rendering diagram only lets users see the fineness of data without adding other elements. The resolution of this data is 90m, and it can be used with the digital elevation data products with the resolution of 30m. </p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>This data contains abundant topographic, geomorphic and hydrological information within the five Central Asian countries, which can intuitively show the topographic and geomorphic characteristics of the region. Through DEM, a large number of surface morphology information can be extracted, such as slope, aspect, water system, etc. SRTM The 90 meter resolution elevation data comes from CIAT, the data time is 2000, SRTM data adopts WGS84 ellipsoid projection, after the pretreatment and processing of the original download data by the staff of the unit, the 90 meter DEM data set (srtm90m_ca) of five Central Asian countries is obtained, the altitude value of the data is - 227-7050 meters, the spatial data is - 32768, the DEM data format is img grid image, and the horizontal accuracy is The data range is 45 ° - 108 ° E and 32 ° - 56 ° n. </p>",
            "ds_time_res": "年",
            "ds_acq_place": "Five Central Asian countries, Xinjiang Uyghur Autonomous Region",
            "ds_space_res": "",
            "ds_projection": "WGS84 projection",
            "ds_process_way": "<p>Preprocessing: open DEM elevation data with arcmap10.2 software, and get DEM data of normal elevation value (- 227-7050m) through grid calculation and re classification calculation, and then get the data through cutting the border of five Central Asian countries. DEM rendering map processing: the DEM data after preprocessing is used to generate mountain shadow data (zfactor = 5), and the mountain shadow data and DEM data are superposed to generate DEM rendering map. The rendering image can be reprocessed by users 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": [
        "DEM",
        "数字地面模型",
        "遥感数据\\DEM数据",
        "数字高程",
        "中亚五国",
        "遥感影像"
    ],
    "ds_subject_tags": [],
    "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"
}