{
    "created": "2022-04-15 10:29:03",
    "updated": "2026-04-28 22:41:24",
    "id": "adf7d68b-7015-4cae-8ba3-61ba4e82ae72",
    "version": 3,
    "ds_topic": null,
    "title_cn": "甘肃省兰州市地表形变数据集（2020年）",
    "title_en": "Surface deformation data set of Lanzhou City, Gansu Province (2020)",
    "ds_abstract": "<p>&emsp;&emsp;该数据为研究团队基于升轨和降轨的Sentinel-1A影像，运用SBAS-InSAR技术获取的甘肃省兰州市2020.01-2020.12地表形变速率数据，主要字段内容包括年形变速率，相干性，垂直精度、水平精度和累积位移等，监测精度为mm级。\n</p>\n<p>&emsp;&emsp;地表形变数据监测精度为mm级，适用于具有雷达影像覆盖的陆地表面的地表形变监测；以ENVI SARscape为基础平台,通过影像裁剪、配准、干涉处理和地理编码等步骤最终将SAR坐标系下的地表形变数据转换为地理坐标系，以shpfile格式文件储存。",
    "ds_source": "<p>&emsp;&emsp;基于升轨和降轨的Sentinel-1A影像，运用SBAS-InSAR技术获取的甘肃省兰州市2020.01-2020.12地表形变速率数据",
    "ds_process_way": "<p>&emsp;&emsp;地表形变数据监测精度为mm级，适用于具有雷达影像覆盖的陆地表面的地表形变监测；以ENVI SARscape为基础平台,通过影像裁剪、配准、干涉处理和地理编码等步骤最终将SAR坐标系下的地表形变数据转换为地理坐标系，以shpfile格式文件储存。",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好。",
    "ds_acq_start_time": "2020-01-01 00:00:00",
    "ds_acq_end_time": "2020-12-31 00:00:00",
    "ds_acq_place": "甘肃省兰州市主城区",
    "ds_acq_lon_east": 104.57444444444444,
    "ds_acq_lat_south": 35.57138888888889,
    "ds_acq_lon_west": 102.59944444444444,
    "ds_acq_lat_north": 36.99861111111111,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 659961402,
    "ds_files_count": 4,
    "ds_format": "矢量",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "adf7d68b-7015-4cae-8ba3-61ba4e82ae72.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "曾润强，甘肃省兰州市地表形变数据集（2020年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2022，doi：10.12072/ncdc.LANDSLIDE.db2059.2022",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "3e397ebe-36ab-4e95-9b1b-dfce93031c18",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "10.12072/ncdc.LANDSLIDE.db2059.2022",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2022-04-20 09:30:41",
    "last_updated": "2022-04-20 17:25:01",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.LANDSLIDE.db2059.2022",
    "i18n": {
        "en": {
            "title": "Surface deformation data set of Lanzhou City, Gansu Province (2020)",
            "ds_format": "",
            "ds_source": "<pre><code>\n</code></pre>\n<p>&emsp; Based on sentinel-1a images of orbit ascending and descending, the surface deformation rate data of Lanzhou City, Gansu Province from January 2020 to December 2020 were obtained by using SBAS InSAR technology",
            "ds_quality": "<pre><code>\n</code></pre>\n<p>&emsp; Good data quality.",
            "ds_ref_way": "",
            "ds_abstract": "<pre><code>\n</code></pre>\n<p>  The data is the surface deformation rate data of Lanzhou City, Gansu Province from January 2020 to December 2020 obtained by the research team based on sentinel-1a images of orbit lifting and descending and sbas-insar technology. The main fields include annual deformation rate, coherence, vertical accuracy, horizontal accuracy and cumulative displacement. The monitoring accuracy is mm.\n</p>\n<p>  The monitoring accuracy of surface deformation data is mm, which is suitable for surface deformation monitoring of land surface covered by radar image; Based on envi sarscape, the surface deformation data in SAR coordinate system is finally converted into geographic coordinate system through image clipping, registration, interference processing and geocoding, and stored in shpfile format file.</p>",
            "ds_time_res": "",
            "ds_acq_place": "Main urban area of Lanzhou City, Gansu Province",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<pre><code>\n</code></pre>\n<p>&emsp; The monitoring accuracy of surface deformation data is mm, which is suitable for surface deformation monitoring of land surface covered by radar image; Based on envi sarscape, the surface deformation data in SAR coordinate system is finally converted into geographic coordinate system through image clipping, registration, interference processing and geocoding, and stored in shpfile format file.",
            "ds_ref_instruction": "                    "
        }
    },
    "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": [
        "年地表形变速率",
        "累积位移",
        "升轨55轨道"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "甘肃省兰州市主城区"
    ],
    "ds_time_tags": [
        2020
    ],
    "ds_contributors": [
        {
            "true_name": "曾润强",
            "email": "zengrq@lzu.edu.cn",
            "work_for": "兰州大学地质科学与矿产资源学院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "曾润强",
            "email": "zengrq@lzu.edu.cn",
            "work_for": "兰州大学地质科学与矿产资源学院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "曾润强",
            "email": "zengrq@lzu.edu.cn",
            "work_for": "兰州大学地质科学与矿产资源学院",
            "country": "中国"
        }
    ],
    "category": "灾害"
}