已有观测和模型表明，气候变暖背景下青藏高原多年冻土活动层厚度增大，年平均地温升高和热融喀斯特地貌广泛发育。地面形变是多年冻土退化的重要指示器，然而目前地面形变的研究多集中在较小空间尺度的研究上，并且对多年冻土区冻融过程的时空异质性考虑不足，而且大尺度大范围地表变形的空间特征以及控制因子仍不清楚。中国科学院西北生态环境资源研究院冰冻圈科学国家重点实验室格尔木站吴通华研究员团队发展了适用于多年冻土区较大空间尺度的InSAR地面形变遥感反演方法，并将其应用于青藏高原中部约14万平方公里的区域。该方法基于Sentinel-1SAR遥感影像资料并结合MODIS地表温度和土壤数据分析，充分考虑了多年冻土区冻融过程的时空异质性，能够有效的分离与活动层冻融过程相关的地面季节形变以及与多年冻土融化引发的地面长期形变，结果表明青藏高原中部经历着明显的地面季节形变和长期形变。该成果可为青藏高原乃至北极多年冻土地面形变监测提供可靠的技术方法，进一步深化理解多年冻土区地面形变与地表冻融过程及多年冻土退化之间的关系，为高原生态环境保护和工程建设维护提供重要的科学支撑。
", "ds_source": "1.MODIS数据集来源于：https://ladsweb.modaps.eosdis.nasa.gov/search\n
\n2.Sentinel-1 SAR遥感影像资料来源于：https://search.asf.alaska.edu/#", "ds_process_way": "
该方法基于Sentinel-1 SAR遥感影像资料利用小基线集的方法并结合MODIS地表温度和土壤数据分析，充分考虑了多年冻土区冻融过程的时空异质性，能够有效的分离与活动层冻融过程相关的地面季节形变以及与多年冻土融化引发的地面长期形变，结果表明青藏高原中部经历着明显的地面季节形变和长期形变。该研究还引入了地理探测器方法和相关性分析来揭示地面形变的控制因子。", "ds_quality": "
我们将Stefan一维热传导模型与MODIS-LST结合到一起，利用SBAS InSAR方法进行解算，以定量化 青藏高原多年冻土地面变形。我们已经成功地描绘了大范围线性和季节性变形的幅度和空间模式。在MODIS-LST 和土壤信息的帮助下，我们的方法很容易能够推广到整个青藏高原尺度。\n
\n如果将来有更准确的数据，则所有外部温度和土壤参数都很容易替换。在北极地区，由于积雪覆盖的影响，只有夏季获得的SAR图像可用。此外，在北极地区已经有分辨率为1公里的MODIS-LST数据产品和分辨率为250米的土壤信息等。因此，我们相信我们的方法也可以在北极多年冻土区进行大范围的应用。", "ds_acq_start_time": "2014-01-01 00:00:00", "ds_acq_end_time": "2019-12-31 00:00:00", "ds_acq_place": "青藏高原中部地区", "ds_acq_lon_east": 104.0, "ds_acq_lat_south": 26.0, "ds_acq_lon_west": 67.0, "ds_acq_lat_north": 54.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 162880718, "ds_files_count": 2, "ds_format": "tif", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "f17d720f-b765-4342-b11d-f8d81a77f730.jpg", "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": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-11-16 16:55:25", "last_updated": "2023-06-12 16:21:34", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1977", "i18n": { "en": { "title": "Remote sensing data set of ground deformation in large-scale permafrost area of Qinghai Tibet Plateau (2014-2019)", "ds_format": "", "ds_source": "
1. MODIS dataset comes from: https://ladsweb.modaps.eosdis.nasa.gov/search\n
\n2. Sentinel-1 SAR remote sensing image data comes from: https://search.asf.alaska.edu/#", "ds_quality": "
We combined Stefan one-dimensional heat conduction model with modis-lst and solved it by SBAS InSAR method to quantify the ground deformation of permafrost in Qinghai Tibet Plateau. We have successfully described the amplitude and spatial patterns of large-scale linear and seasonal deformation. With the help of modis-lst and soil information, our method can be easily extended to the whole Qinghai Tibet Plateau scale.\n
\nIf more accurate data are available in the future, all external temperature and soil parameters can be easily replaced. In the Arctic, due to the influence of snow cover, only SAR images obtained in summer are available. In addition, there are modis-lst data products with a resolution of 1km and soil information with a resolution of 250m in the Arctic. Therefore, we believe that our method can also be widely used in the Arctic permafrost region.", "ds_ref_way": "", "ds_abstract": "
Existing observations and models show that under the background of climate warming, the thickness of permafrost active layer in Qinghai Tibet Plateau increases, the annual average ground temperature rises and the hot-melt karst landform is widely developed. Ground deformation is an important indicator of permafrost degradation. However, at present, the research on ground deformation mostly focuses on the research on small spatial scale, and the spatio-temporal heterogeneity of freezing and thawing process in permafrost area is not considered enough, and the spatial characteristics and control factors of large-scale and large-scale surface deformation are still unclear.
\nWu Tonghua, a research team of Golmud station, State Key Laboratory of Cryosphere science, Northwest Institute of ecological environment and resources, Chinese Academy of Sciences, developed an InSAR remote sensing inversion method for ground deformation in permafrost areas on a large spatial scale, and applied it to an area of about 140000 square kilometers in the middle of the Qinghai Tibet Plateau.\n
\nBased on sentinel-1 SAR remote sensing image data and MODIS surface temperature and soil data analysis, this method fully considers the spatio-temporal heterogeneity of freezing and thawing process in permafrost area, and can effectively separate the ground seasonal deformation related to the freezing and thawing process of active layer and the ground long-term deformation caused by thawing of permafrost, The results show that the central Qinghai Xizang Plateau has experienced obvious ground seasonal deformation and long-term deformation.\n
\nThe results can provide reliable technical methods for monitoring the surface deformation of permafrost land in the Qinghai Tibet Plateau and even the Arctic, further deepen the understanding of the relationship between ground deformation, surface freezing and thawing process and permafrost degradation in permafrost areas, and provide important scientific support for plateau ecological environment protection and engineering construction and maintenance.
", "ds_time_res": "", "ds_acq_place": "Central Qinghai Tibet Plateau", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Based on sentinel-1 SAR remote sensing image data, using the method of small baseline set and combined with MODIS surface temperature and soil data analysis, this method fully considers the spatio-temporal heterogeneity of freezing and thawing process in permafrost area, and can effectively separate the ground seasonal deformation related to the freezing and thawing process of active layer and the ground long-term deformation caused by permafrost melting, The results show that the central Qinghai Xizang Plateau has experienced obvious ground seasonal deformation and long-term deformation. The geo detector method and correlation analysis are also introduced to reveal the control factors of ground deformation.", "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": [ "多年冻土变形", "合成孔径雷达", "地下冰损失", "大范围", "青藏高原" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原中部地区" ], "ds_time_tags": [ 2014, 2015, 2016, 2017, 2018, 2019 ], "ds_contributors": [ { "true_name": "陈杰", "email": "chenjie@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院，青藏高原冰冻圈研究站, 冰冻圈科学国家重点实验室", "country": "中国" }, { "true_name": "吴通华", "email": "thuawu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院，青藏高原冰冻圈研究站, 冰冻圈科学国家重点实验室, ", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "陈杰", "email": "chenjie@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院，青藏高原冰冻圈研究站, 冰冻圈科学国家重点实验室", "country": "中国" }, { "true_name": "吴通华", "email": "thuawu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院，青藏高原冰冻圈研究站, 冰冻圈科学国家重点实验室, ", "country": "中国" } ], "ds_managers": [ { "true_name": "陈杰", "email": "chenjie@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院，青藏高原冰冻圈研究站, 冰冻圈科学国家重点实验室", "country": "中国" }, { "true_name": "吴通华", "email": "thuawu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院，青藏高原冰冻圈研究站, 冰冻圈科学国家重点实验室, ", "country": "中国" } ], "category": "冻土" }