地面沉降会对城市基础设施、自然环境以及社会经济发展造成多重危害，因此有必要对齐进行长期监测。本研究选取2017年3月27日至2025年7月19日期间获取的116幅 Sentinel-1 卫星 SAR 影像，结合精密轨道数据、30 m 空间分辨率的 Shuttle Radar Topography Mission（SRTM）数据以及 GACOS 天顶对流层延迟产品，通过 SBAS-InSAR 技术获取了兰州市黄河流域的地表形变信息。结果显示，袁家营、白道坪、西津坪周边以及罗家滩东北部、包家咀西北部等区域存在较为明显的地表沉降，而研究区大部分区域未发现显著沉降或隆起现象。
", "ds_source": "在本数据集中，InSAR 处理所依赖的数据包括 ASF 提供的 Sentinel-1 InSAR 影像、精密星历数据、SRTM 数字高程模型以及 GACOS 天顶对流层延迟产品。ASF 的 Sentinel-1 影像具有较高的相位精度和良好的时空覆盖条件，结合干涉处理后能够实现毫米至厘米级的地表形变探测。本数据集采用的影像间的默认时间间隔为24天，部分时间段可能会根据实际情况有所调整。为了进一步提高几何定位精度，采用 ASF 发布的 Sentinel-1 精密星历产品（POEORB），其轨道三维误差通常小于 5 cm，是 InSAR 高精度解算的关键辅助数据。地形相位的移除基于 30 m 分辨率的 Shuttle Radar Topography Mission（SRTM）数字高程模型，该数据具有约 10 m 的垂直精度和较好的全球一致性。为减弱大气对流层造成的相位延迟干扰，使用了 GACOS 提供的天顶对流层延迟数据，其对流层延迟误差可降低至 1–2 cm。
", "ds_process_way": "", "ds_quality": "地理编码几何质量度量RMSE（mm），该值越高拟合和反演的质量，本数据集中最大值为21.23mm，最小值为0.99mm其中99%的区域均小于7.2mm.形变速率的平均精度最大值为2mm/year,最小值为0.07mm/year.高程测量的平均精度最大值为2mm,最小值为0.13mm.
", "ds_acq_start_time": "2017-01-01 00:00:00", "ds_acq_end_time": "2025-12-31 00:00:00", "ds_acq_place": "中国，兰州", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 3463528732, "ds_files_count": 0, "ds_format": ".dat", "ds_space_res": "", "ds_time_res": "24天", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "79ba29c3-79a1-47f6-b834-af31a271cbc4.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": "", "organization_id": "bf138922-7121-438c-8d1b-19d5f751c907", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.35", "410.30" ], "quality_level": 0, "publish_time": "2026-05-21 15:41:57", "last_updated": "2026-05-21 15:41:57", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.loess.db7340.2026", "i18n": { "en": { "title": "Dataset of ground deformation in the Yellow River Basin of Lanzhou from 2017 to 2025", "ds_format": ".dat", "ds_source": "In this dataset, the InSAR processing relies on Sentinel-1 InSAR imagery provided by ASF, precise orbit ephemerides, the SRTM digital elevation model, and GACOS zenith tropospheric delay products. The Sentinel-1 images from ASF offer high phase accuracy and good spatial–temporal coverage, enabling millimeter- to centimeter-level ground deformation detection after interferometric processing. The default temporal interval between adjacent images in this dataset is 24 days, although it may be adjusted for certain periods depending on data availability. To further improve geometric accuracy, the precise orbit products (POEORB) released by ASF are used, with a typical three-dimensional orbit accuracy better than 5 cm; these data serve as a key auxiliary component for high-precision InSAR solutions. The removal of topographic phase is based on the 30-m-resolution Shuttle Radar Topography Mission (SRTM) digital elevation model, which provides a vertical accuracy of approximately 10 m and good global consistency. To mitigate tropospheric phase delay effects, GACOS zenith tropospheric delay products are employed, reducing tropospheric delay errors to the level of 1–2 cm.", "ds_quality": "
The geocoding geometric quality is quantified by the RMSE (mm), where higher values indicate lower fitting and inversion quality. In this dataset, the maximum RMSE is 21.23 mm and the minimum is 0.99 mm, with 99% of the area having values below 7.2 mm. The mean precision of the deformation rate reaches a maximum of 2 mm/year and a minimum of 0.07 mm/year. For elevation measurements, the mean precision ranges from 0.13 mm to 2 mm.", "ds_ref_way": "", "ds_abstract": "
Land subsidence can pose multiple threats to urban infrastructure, the natural environment, and socio-economic development; therefore, long-term monitoring is essential. In this study, 116 Sentinel-1 SAR images acquired between March 27, 2017 and July 19, 2025, together with precise orbit data, 30-m Shuttle Radar Topography Mission (SRTM) data, and GACOS zenith tropospheric delay products, were used to obtain surface deformation information in the Yellow River Basin of Lanzhou City through the SBAS-InSAR technique. The results indicate that significant land subsidence occurs in areas such as Yuanjiaying, Baidaoping, the surroundings of Xijinping, the northeastern part of Luojiatan, and the northwestern part of Baojiazui, while most regions within the study area exhibit no notable subsidence or uplift.", "ds_time_res": "", "ds_acq_place": "Lanzhou China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "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, "ds_topic_tags": [ "地面形变", "沉降监测", "sbas-insar" ], "ds_subject_tags": [ "大地测量学", "工程地质学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "兰州" ], "ds_time_tags": [ 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025 ], "ds_contributors": [ { "true_name": "徐达", "email": "xuda24@mails.jlu.edu.cn", "work_for": "吉林大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "徐达", "email": "xuda24@mails.jlu.edu.cn", "work_for": "吉林大学", "country": "中国" } ], "ds_managers": [ { "true_name": "徐达", "email": "xuda24@mails.jlu.edu.cn", "work_for": "吉林大学", "country": "中国" } ], "category": "其他" }