{
    "created": "2019-11-05 10:57:51",
    "updated": "2026-04-12 06:39:50",
    "id": "8c1930dc-3ca9-4c94-ab9a-9df6742b0d32",
    "version": null,
    "ds_topic": null,
    "title_cn": "2015年格拉丹东峰地区典型冰川冰下地形数据集",
    "title_en": "Typical Glacial Subglacial Topography Dataset for the Grattan East Peak Region in 2015",
    "ds_abstract": "<p>本数据集针对格拉丹东峰地区，冰下地形数据集包括控制点的序号、经度、纬度、厚度。数据集包含43条记录，主要利用GPR探地雷达，在冰川表面选取适当位置的横截面，通过实测获取的该横截面位置冰川厚度数据。数据集只针对2015年当年冰川厚度，故不进行补充和完善，采用协议共享。数据集包含控制点的序号、经度（单位：度(°)）、纬度（单位：度(°)）、高程（单位：米(m)，即当年冰川厚度）4个字段。数据集主要为当年实测资料，时间为2015年8月。空间基准为WGS84/EGM96，用探地雷达测量前，先进行雷达波速在冰川冰内传播速度的测量，并对探地雷达相关参数进行修改，确保获取对应冰川最精确的厚度数据。</p>",
    "ds_source": "<p>本数据集主要为实测数据，数据主要来源为GPR探地雷达。</p>",
    "ds_process_way": "<p>在数据实测中，利用GPR探地雷达，在冰川表面选取适当位置的横截面，通过实测，然后在软件中解算获取冰川厚度。</p>",
    "ds_quality": "<p>用探地雷达测量前，先进行雷达波速在冰川冰内传播速度的测量，并对探地雷达相关参数进行修改，确保获取对应冰川最精确的厚度数据。</p>",
    "ds_acq_start_time": "2015-08-01 00:00:00",
    "ds_acq_end_time": "2015-08-31 00:00:00",
    "ds_acq_place": "格拉丹东峰",
    "ds_acq_lon_east": 91.23,
    "ds_acq_lat_south": 33.480000000000004,
    "ds_acq_lon_west": 91.19,
    "ds_acq_lat_north": 33.519999999999996,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 18800,
    "ds_files_count": 3,
    "ds_format": "TXT",
    "ds_space_res": "",
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "8c1930dc-3ca9-4c94-ab9a-9df6742b0d32.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "2015年格拉丹东峰地区典型冰川冰下地形数据集来源于科技基础性工作专项“中国西部主要冰川作用中心冰量变化调查（2013FY111400）”。 引用方式：刘时银, 张震, 吴坤鹏， 等. 中科院寒区旱区环境与工程研究所. 2015年格拉丹东峰地区典型冰川冰下地形数据集. 2019。",
    "paper_ref_way": "",
    "ds_ref_instruction": "数据产权属于中科院寒区旱区环境与工程研究所。使用数据时需注明来源本数据集可用文本软件打开查看，也可以导入地理信息系统软件进行图形可视化。",
    "ds_from_station": "中国西部主要冰川作用中心冰量变化调查",
    "organization_id": "75b2f6d5-c7ed-438c-b7be-98672c057ed5",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "lihongxing@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": null,
    "quality_level": 3,
    "publish_time": "2020-12-08 17:43:49",
    "last_updated": "2023-05-16 17:35:10",
    "protected": false,
    "protected_to": "2022-12-06 00:00:00",
    "lang": "zh",
    "cstr": "11738.11.ncdc.DIMaC.2020.143",
    "i18n": {
        "en": {
            "title": "Typical Glacial Subglacial Topography Dataset for the Grattan East Peak Region in 2015",
            "ds_format": "",
            "ds_source": "<p>This data set is mainly measured data, and the main data source is GPR ground penetrating radar. </p>",
            "ds_quality": "<p>Before using ground penetrating radar (GPR), the propagation velocity of radar wave velocity in glacier ice is measured, and the parameters of GPR are modified to ensure the most accurate thickness data of corresponding glacier. </p>",
            "ds_ref_way": "\nThe data set of typical glacier subglacial topography in geladan Dongfeng area in 2015 was derived from the \"survey of ice quantity change in major glaciation centers in Western China (2013fy111400)\". Citation: Liu Shiyin, Zhang Zhen, Wu Kunpeng, et al. Institute of environment and Engineering in cold and arid regions, Chinese Academy of Sciences. Data set of typical glacier subglacial terrain in geladan East peak area, 2015. 2019.",
            "ds_abstract": "<p>This data set is aimed at the eastern peak of gradan. The data set includes the serial number, longitude, latitude and thickness of control points. The data set contains 43 records, mainly using GPR ground penetrating radar to select the appropriate cross-section on the glacier surface, and obtain the glacier thickness data of the cross-section position through the actual measurement. The data set is only for the glacier thickness in 2015, so it is not supplemented and improved, and the protocol is used for sharing. The data set contains four fields: serial number, longitude (unit: Degree (°)), latitude (unit: Degree (°)) and elevation (unit: meter (m), that is, glacier thickness of the current year). The data set is mainly the measured data in August 2015. The spatial datum is WGS84 / EGM96. Before using GPR, the propagation velocity of radar wave velocity in glacier ice is measured, and the relevant parameters of GPR are modified to ensure the most accurate thickness data of corresponding glacier. </p>",
            "ds_time_res": "",
            "ds_acq_place": "Eastern Grantham",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>In the data measurement, GPR ground penetrating radar is used to select the appropriate cross-section on the glacier surface, and then the glacier thickness is calculated in the software. </p>",
            "ds_ref_instruction": "\nThe property right of the data belongs to the Institute of environment and Engineering in cold and arid areas of Chinese Academy of Sciences. The data set can be opened and viewed by text software or imported into GIS software for graphic visualization."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "GPR",
        "冰厚",
        "格拉丹东峰"
    ],
    "ds_subject_tags": [
        "构造地质学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "格拉丹东峰"
    ],
    "ds_time_tags": [
        2015
    ],
    "ds_contributors": [
        {
            "true_name": "刘时银",
            "email": "liusy@lzb.ac.cn",
            "work_for": "云南大学国际河流与生态安全研究院",
            "country": "中国"
        },
        {
            "true_name": "吴坤鹏",
            "email": "wukunpeng2008@lzb.ac.cn",
            "work_for": "云南大学国际河流与生态安全研究院",
            "country": "中国"
        },
        {
            "true_name": "魏俊锋",
            "email": "weijunfeng@hnust.edu.cn",
            "work_for": "湖南科技大学地球科学与空间信息工程学院",
            "country": "中国"
        },
        {
            "true_name": "朱钰",
            "email": "",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": ""
        },
        {
            "true_name": "王荣军",
            "email": "",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": ""
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "吴坤鹏",
            "email": "wukunpeng2008@lzb.ac.cn",
            "work_for": "云南大学国际河流与生态安全研究院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "吴坤鹏",
            "email": "wukunpeng2008@lzb.ac.cn",
            "work_for": "云南大学国际河流与生态安全研究院",
            "country": "中国"
        },
        {
            "true_name": "刘时银",
            "email": "liusy@lzb.ac.cn",
            "work_for": "云南大学国际河流与生态安全研究院",
            "country": "中国"
        }
    ],
    "category": "冰川"
}