{ "created": "2022-04-15 12:12:00", "updated": "2026-06-13 18:51:18", "id": "c98fc1d5-22f6-48f3-a7c5-83472ae22fac", "version": 4, "ds_topic": null, "title_cn": "陕西省延安市地表形变和潜在滑坡隐患数据（2019年-2020年6月）", "title_en": "Data of surface deformation and potential landslide hazards in Yan'an City, Shaanxi Province (2019-june 2020)", "ds_abstract": "

  该数据是研究团队基于Sentinel-1A影像，运用SBAS-InSAR技术获取的陕西省延安市2019.01-2020.06年地表形变速率数据，主要字段内容包括年形变速率，相干性，垂直精度、水平精度、累积位移、潜在滑坡面数据和经纬度坐标，监测精度为mm级。", "ds_source": "

  数据来源于欧空局https://search.asf.alaska.edu/\n sentinel-1影像数据。", "ds_process_way": "

  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shapefile格式文件储存。", "ds_quality": "

  数据质量良好。", "ds_acq_start_time": "2019-01-01 00:00:00", "ds_acq_end_time": "2020-06-30 00:00:00", "ds_acq_place": "陕西省延安市", "ds_acq_lon_east": 110.5461111111111, "ds_acq_lat_south": 35.345, "ds_acq_lon_west": 107.65444444444445, "ds_acq_lat_north": 37.49777777777778, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 60880111, "ds_files_count": 2, "ds_format": "矢量", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "c98fc1d5-22f6-48f3-a7c5-83472ae22fac.png", "ds_thumb_from": 0, "ds_ref_way": "曾润强，陕西省延安市地表形变和潜在滑坡隐患数据（2019年-2020年6月），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2022，doi：10.12072/ncdc.LANDSLIDE.db2049.2022", "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.db2049.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-04-20 15:23:27", "last_updated": "2022-04-20 17:26:31", "protected": false, "protected_to": "2024-04-20 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.LANDSLIDE.db2049.2022", "i18n": { "en": { "title": "Data of surface deformation and potential landslide hazards in Yan'an City, Shaanxi Province (2019-june 2020)", "ds_format": "", "ds_source": "

  Data from ESA https://search.asf.alaska.edu/\nSentinel-1 image data.", "ds_quality": "

\n
\n

  Good data quality.", "ds_ref_way": "", "ds_abstract": "

\n
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  The data is the surface deformation rate data of Yan'an City, Shaanxi Province from January 2019 to June 2020 obtained by the research team based on sentinel-1a image and sbas-insar technology. The main fields include annual deformation rate, coherence, vertical accuracy, horizontal accuracy, cumulative displacement, potential landslide surface data and longitude and latitude coordinates. The monitoring accuracy is mm.

", "ds_time_res": "", "ds_acq_place": "Yan'an City, Shaanxi Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
\n
\n

  Based on envi sarscape, through image clipping, registration, interference processing and geocoding, the surface deformation data in SAR coordinate system is finally converted into geographic coordinate system and stored in ShapeFile format.", "ds_ref_instruction": " " } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/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, "belong_to_nieer": false, "ds_topic_tags": [ "年地表形变速率", "累积位移", "滑坡面数据" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "陕西省延安市" ], "ds_time_tags": [ 2019, 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": "遥感及产品" }