{
    "created": "2019-11-05 02:48:48",
    "updated": "2026-04-30 09:52:53",
    "id": "376a3753-12a2-4f82-8f4e-259beca5b4e5",
    "version": null,
    "ds_topic": null,
    "title_cn": "2016年西昆仑主峰周围地区数字高程模型数据集",
    "title_en": "Digital elevation model dataset for the area around the main peak of West Kunlun in 2016",
    "ds_abstract": "<p>本数据集针对西昆仑主峰周围地区，利用遥感影像获取的2016年该地区数字高程模型。数据集包含1个波段，主要通过使用搭载合成孔径雷达传感器的平台，同时观测或两次平行的观测，获取地面同一地物目标的复数数据。经过精确配准后对复数图像进行共轭相乘可得到复干涉纹图。利用飞行平台、波束视及基线之间的几何关系，对复干涉纹图中的相位信息进行解缠获取的冰川区数字高程模型。只针对2016年当年冰川表面高程，故不进行补充和完善，采用完全开放共享。数据集包含DEM2016，共1个波段。数据集文件名及波段名称对应如下：数据集文件名：2016年西昆仑主峰周围地区数字高程模型数据集，DEM2016——2016年该地区数字高程模型（单位：米(m)）。</p>",
    "ds_source": "<p>本数据集主要为解译数据，数据主要来源为TerraSAR-X/TanDEM-X微波遥感数据。</p>",
    "ds_process_way": "<p>通过使用搭载合成孔径雷达传感器的平台，同时观测或两次平行的观测，获取地面同一地物目标的复数数据。经过精确配准后对复数图像进行共轭相乘可得到复干涉纹图。利用飞行平台、波束视及基线之间的几何关系，对复干涉纹图中的相位信息进行解缠获取的冰川区数字高程模型。</p>",
    "ds_quality": "<p>通过使用搭载TerraSAR-X和TanDEM-X传感器的平台，同时观测，获取地面同一地物目标的复数数据（包括振幅和相位信息），组成干涉对。经过精确配准后对复数图像进行共轭相乘可得到复干涉纹图。利用飞行平台、波束视及基线之间的几何关系，对复干涉纹图中的相位信息进行解缠，从而得到地面高程信息。其垂直方向的绝对精度优于10 m，相对精度在局部坡度角&gt;20%时达到4 m，&lt;20%时精度达到2 m。</p>",
    "ds_acq_start_time": "2016-02-01 00:00:00",
    "ds_acq_end_time": "2016-02-29 00:00:00",
    "ds_acq_place": "西昆仑主峰",
    "ds_acq_lon_east": 82.0,
    "ds_acq_lat_south": 35.0,
    "ds_acq_lon_west": 80.0,
    "ds_acq_lat_north": 35.5,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 73092118,
    "ds_files_count": 3,
    "ds_format": "TIFF",
    "ds_space_res": "30.0m",
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "376a3753-12a2-4f82-8f4e-259beca5b4e5.jpg",
    "ds_thumb_from": 2,
    "ds_ref_way": "曹泊, 赵井东, 王杰， 等. 兰州大学. 2016年西昆仑主峰周围地区数字高程模型数据集. 2019。赵井东, 曹泊，2016年西昆仑主峰周围地区数字高程模型数据集，国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2019，doi：10.12072/DIMaC.0007.2020.db",
    "paper_ref_way": "",
    "ds_ref_instruction": "2016年西昆仑主峰周围地区数字高程模型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）”。数据产权属于兰州大学。本数据集可用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": "2020-12-15 17:37:54",
    "last_updated": "2023-05-16 17:36:01",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.DIMaC.2020.119",
    "i18n": {
        "en": {
            "title": "Digital elevation model dataset for the area around the main peak of West Kunlun in 2016",
            "ds_format": "",
            "ds_source": "<p>This data set is mainly interpreted data, and the main data source is TerraSAR-X / TanDEM-X microwave remote sensing data. </p>",
            "ds_quality": "<p>By using the platform equipped with TerraSAR-X and TanDEM-X sensors, the complex data (including amplitude and phase information) of the same ground object are obtained at the same time to form an interference pair. After accurate registration, complex interferograms can be obtained by conjugate multiplication of complex images. Based on the geometric relationship among flight platform, beam view and baseline, the phase information in complex interferogram is unwrapped to obtain the ground elevation information. The absolute accuracy in the vertical direction is better than 10 m, and the relative accuracy is 4 m at & gt; 20% and 2 m at & lt; 20%. </p>",
            "ds_ref_way": "\nCao Po, Zhao Jingdong, Wang Jie, et al. Lanzhou University. DEM data set around the main peak of West Kunlun Mountain in 2016. 2019. Zhao Jingdong, Cao Bo, 2016 digital elevation model data set around the main peak of West Kunlun Mountains, national glacier frozen soil desert scientific data center（ www.ncdc.ac.cn )，2019，doi：10.12072/DIMaC.0007.2020.db",
            "ds_abstract": "<p>This data set aims at the area around the main peak of West Kunlun Mountain, and obtains the digital elevation model of the area in 2016 by using remote sensing images. The data set contains one band, and the complex data of the same ground object can be obtained by using the platform equipped with synthetic aperture radar sensor at the same time or two parallel observations. After accurate registration, complex interferograms can be obtained by conjugate multiplication of complex images. Based on the geometric relationship among flight platform, beam view and baseline, the digital elevation model of glacier area is obtained by unwrapping the phase information of complex interferogram. It is only aimed at the glacier surface elevation in 2016, so it will not be supplemented and improved, and fully open sharing is adopted. The data set contains dem2016, a total of 1 band. Data set file name and band name are as follows: data set file name: 2016 digital elevation model data set around the main peak of West Kunlun Mountains, dem2016-2016 digital elevation model of the region (unit: meter (m)). </p>",
            "ds_time_res": "",
            "ds_acq_place": "The main peak of West Kunlun",
            "ds_space_res": "30.0m",
            "ds_projection": "",
            "ds_process_way": "<p>The complex data of the same object on the ground can be obtained by using the platform equipped with synthetic aperture radar (SAR) sensor and observing at the same time or twice in parallel. After accurate registration, complex interferograms can be obtained by conjugate multiplication of complex images. Based on the geometric relationship among flight platform, beam view and baseline, the digital elevation model of glacier area is obtained by unwrapping the phase information of complex interferogram. </p>",
            "ds_ref_instruction": "\nThe data set of DEM around the main peak of West Kunlun Mountains in 2016 is derived from the special project of basic scientific and technological work \"investigation of ice change in major glaciation centers in Western China (2013fy111400)\". The property right of data belongs to Lanzhou University. The data set can be visualized by GIS software."
        }
    },
    "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": [
        "雷达干涉",
        "西昆仑主峰",
        "DEM"
    ],
    "ds_subject_tags": [],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "西昆仑主峰"
    ],
    "ds_time_tags": [
        2016
    ],
    "ds_contributors": [
        {
            "true_name": "赵井东",
            "email": "jdzhao@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": ""
        },
        {
            "true_name": "曹泊",
            "email": "caobo@lzu.edu.cn",
            "work_for": "兰州大学",
            "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": "赵井东",
            "email": "jdzhao@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": ""
        }
    ],
    "category": "冰川"
}