{
    "created": "2019-12-20 08:29:29",
    "updated": "2026-05-04 20:58:24",
    "id": "99635ac0-7b87-4943-96dd-b59dc9bffbc3",
    "version": null,
    "ds_topic": null,
    "title_cn": "黄河上游SRTM高程数据",
    "title_en": "Digital elevation model of SRTM in the Yellow River Upstream",
    "ds_abstract": "<p>SRTM（航天飞机雷达地形测绘任务）是由美国航空航天局、地理空间情报局及德国和意大利的航天机构于2002年2月开始执行的。由美国“奋进”号航天飞机搭载SRTM系统共计进行了222小时23分钟的数据采集工作，获取了北美60度至南纬56度之间，面积超过1.19亿km2的9.8万亿字节的雷达影像数据，费改地球表面80%以上，该数据集覆盖中国全境。耗费两年时间处理，最终获得平面经度为±20m，高程经度为±16m的全球数字高程模型（DEM）</p>",
    "ds_source": "<p>SRTM数据每经纬度方格提供一个文件，经度有1 arc-second和3 arc-second两种。称作SRTM1与SRTM3，或者称作30m与90m数据。本数据集采用的是90m分辨率的SRTM3数据。每个文件里包含1201×1201个采样点的高程数据。数据格式为DEM格式。个图幅空间位置见附图（全国1_25万图幅接图表）。</p>",
    "ds_process_way": "<p>该数据集覆盖中国全境。耗费两年时间处理，最终获得平面经度为±20m，高程经度为±16m的全球数字高程模型（DEM）.</p>",
    "ds_quality": "<p>SRTM数据的处理是由地面数据处理系统（GDPS）来完成的。GDPS由三部分组成：（1）干涉测量处理器，利用干涉测量处理器将数据转换为高程图与雷达图像条带；（2）镶嵌处理器，用于将采集的全球多条航带数据编绘成大陆高程数据与图像的镶嵌图；（3）验证系统，负责检验镶嵌图的质量，并提供精度图。这些处理器目前装在在JPL的工作站上，下一步工作是将它们安装到一组超级计算机上，以便对真个SRTM数据进行系统处理。随着这项工作的进行，JPL将向工作发布辅助数据。</p>",
    "ds_acq_start_time": "2000-01-01 00:00:00",
    "ds_acq_end_time": "2000-12-30 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": 25552973,
    "ds_files_count": 2,
    "ds_format": "adf",
    "ds_space_res": null,
    "ds_time_res": "年",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "99635ac0-7b87-4943-96dd-b59dc9bffbc3.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": null,
    "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": null,
    "quality_level": 3,
    "publish_time": "2020-12-23 10:17:23",
    "last_updated": "2023-08-23 17:03:24",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.nieer.2020.1535",
    "i18n": {
        "en": {
            "title": "Digital elevation model of SRTM in the Yellow River Upstream",
            "ds_format": "",
            "ds_source": "<p>SRTM data provides one file for each longitude and latitude grid, with longitude of 1 arc second and 3 arc second. It is called srtm1 and SRTM3, or 30m and 90m data. SRTM3 data of 90m resolution is used in this data set. Each file contains elevation data of 1201 × 1201 sampling points. The data format is DEM format. See the attached figure for the spatial location of each map (1 × 250000 maps in China). </p>",
            "ds_quality": "<p>The processing of SRTM data is completed by ground data processing system (GDPs). GDPs is composed of three parts: (1) interferometry processor, which converts data into elevation map and radar image stripe; (2) mosaic processor, which is used to compile the collected global multiple flight strip data into mosaic map of continental elevation data and image; (3) verification system, which is responsible for checking the quality of mosaic map and providing accuracy map. These processors are currently installed on JPL workstations, and the next step is to install them on a set of supercomputers for system processing of real SRTM data. As this work progresses, JPL will publish the auxiliary data to the work. </p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>The SRTM (Space Shuttle Radar topographic mapping mission) was initiated in February 2002 by NASA, the Geospatial Intelligence Agency, and space agencies in Germany and Italy. A total of 222 hours and 23 minutes of data acquisition work were carried out by the SRTM system carried out by the space shuttle Endeavour of the United States. The 9.8 trillion bytes of radar image data with an area of more than 119 million km2 between 60 degrees and 56 degrees south latitude in North America were obtained. The data set covers more than 80% of the earth's surface, covering the whole territory of China. It took two years to process, and finally a global digital elevation model (DEM) with plane longitude of ± 20 m and elevation longitude of ± 16 m was obtained</p>",
            "ds_time_res": "年",
            "ds_acq_place": "",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>The data set covers the whole territory of China. After two years of processing, the global digital elevation model (DEM) with plane longitude of ± 20 m and elevation longitude of ± 16 m was finally obtained</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",
    "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": [
        "DEM",
        "黄河上游",
        "SRTM"
    ],
    "ds_subject_tags": [
        "遥感地质学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黄河上游"
    ],
    "ds_time_tags": [
        2000
    ],
    "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"
}