在全球变暖和人类活动的双重作用下，位于青藏高原腹地的青藏工程走廊多年冻土区段多年冻土退化强烈，从而引发了一系列病害问题，这为位于其内的青藏公路、青藏铁路等线性工程基础设施的维护和安全带来了较大的困扰。地表形变作为路基病害及环境地质灾害的第一表征，可以对工程病害进行有效的指示，但到目前为止，尚未有覆盖整个工程走廊多年冻土区的相关地表形变数据集，特别是垂直向的形变数据。
", "ds_source": "本研究首先基于LiCSBAS工具包对LiCSAR产品进行时序InSAR处理，以获得工程走廊多年冻土区地表升、降轨一维LOS向形变；然后以SAR影像获取日期为条件，筛选出影像获取日期相同或相近的升、降轨时序InSAR形变监测数据，在忽略南北向形变的情况下解算出地表东西向和垂直向形变，从而获得2017-2022年观测期内的地表一维（升、降轨LOS向）和二维（东西向和垂直向）形变速率和时序累积形变结果（共计51期），即青藏工程走廊多年冻土区地表形变数据集。
", "ds_process_way": "基于现场监测的形变结果与垂直向形变结果的对比表明，精度大多在10 mm内，最大不超过30 mm。本数据不仅可以作为后续相关InSAR形变监测的对比数据，而且还可以为交通线性工程，如青藏公路、青藏铁路等的正常运营和维护提供数据支撑和有效建议。此外，本数据集还可以作为输入数据用于多年冻土活动层厚度的反演等工作。
", "ds_quality": "数据质量良好。
", "ds_acq_start_time": "2017-02-01 00:00:00", "ds_acq_end_time": "2022-03-31 00:00:00", "ds_acq_place": "青藏高原", "ds_acq_lon_east": 95.22083333333333, "ds_acq_lat_south": 36.2275, "ds_acq_lon_west": 91.22083333333333, "ds_acq_lat_north": 32.16361111111111, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 1890250528, "ds_files_count": 7, "ds_format": "*.tif", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "7a226198-19c8-4e92-b811-ea6390d392aa.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "lihongxing@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2026-01-04 10:19:19", "last_updated": "2026-05-11 16:23:19", "protected": false, "protected_to": null, "lang": "zh", "cstr": "https://cstr.cn/18406.11.Cryos.tpdc.300400", "i18n": { "en": { "title": "Two-dimensional ground deformation dataset in permafrost zone of the Qinghai-Tibet Engineering Corridor, China (from February 2017 to March 2022)", "ds_format": "*.tif", "ds_source": "This study first uses the LiCBSA toolkit to perform time-series InSAR processing on LiCSAR products, in order to obtain one-dimensional LOS deformation of surface uplift and descent in permafrost regions of engineering corridors; Then, based on the SAR image acquisition date as a condition, InSAR deformation monitoring data with the same or similar image acquisition date for ascending and descending orbit time series were selected. Ignoring the north-south deformation, the surface deformation in the east-west and vertical directions was calculated to obtain the one-dimensional (ascending and descending orbit LOS) and two-dimensional (east-west and vertical) deformation rates and time series cumulative deformation results of the surface during the observation period from 2017 to 2022 (a total of 51 periods), which is the surface deformation dataset of the permafrost region in the Qinghai Tibet Engineering Corridor.
", "ds_quality": "The data quality is good.
", "ds_ref_way": "", "ds_abstract": "Under the dual effects of global warming and human activities, the permafrost degradation in the permafrost section of the Qinghai Tibet Engineering Corridor located in the hinterland of the Qinghai Tibet Plateau is severe, leading to a series of disease problems. This poses significant challenges to the maintenance and safety of linear engineering infrastructure such as the Qinghai Tibet Highway and Qinghai Tibet Railway located within it. As the first characterization of roadbed diseases and environmental geological hazards, surface deformation can effectively indicate engineering diseases. However, so far, there is no relevant surface deformation dataset covering the entire permafrost area of the engineering corridor, especially vertical deformation data.
", "ds_time_res": "", "ds_acq_place": "Tibetan Plateau", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The comparison between deformation results based on on-site monitoring and vertical deformation results shows that the accuracy is mostly within 10 mm, with a maximum not exceeding 30 mm. This data can not only serve as comparative data for subsequent InSAR deformation monitoring, but also provide data support and effective suggestions for the normal operation and maintenance of transportation linear projects such as the Qinghai Tibet Highway and Qinghai Tibet Railway. In addition, this dataset can also be used as input data for inversion of the thickness of permafrost active layers and other related work.
", "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_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "青藏工程走廊", "多年冻土", "地表形变" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原" ], "ds_time_tags": [ 2017, 2018, 2019, 2020, 2021, 2022 ], "ds_contributors": [ { "true_name": "杜青松", "email": "xbdqs@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "李国玉", "email": "guoyuli@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "车涛", "email": "chetao@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "穆彦虎", "email": "muyanhu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "马巍", "email": "mawei@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "李国玉", "email": "guoyuli@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "李国玉", "email": "guoyuli@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "冻土" }