该数据集包含青藏高原多年冻土区（QTP）基于野外调查和高分1号和高分2号图像的人工解释的倒退融融坍塌（RTS）清单。RTS是根据最近暴露的沉积物，不发达的植被和独特的顶壁进行的目视检测。为了避免RTS的错误划定，QTP的整个永久冻土区域被划分为大量网格，每个网格尺寸为5×5公里。排除了坡度低于1°或高于15°的网格，因为根据我们以前的研究和现场调查，在这些斜坡上很少发现RTS。其余网格中的RTS由第一作者检测和绘制草图，然后由至少两名其他经验丰富的作者检查。一旦确定了RTS，就会分配一个唯一的编号，并根据其起始位置进行分类，例如在河流旁边（R），湖泊侵蚀（L）以及活动层分离滑动发生后。
", "ds_source": "利用1—2年间拍摄的高分一号和高分二号正交影像，划定了QTP整个多年冻土区的RTS边界。此外，还获取了2018年或2020年至2年的正交卫星图像时间序列（分辨率≥5.2008 m），以估计三个典型区域RTS的年变化：Hoh Xil山（HXM），洪梁河地区（HLR）和马曲地区（MQC）。有关这些图像的更多详细信息，请参阅支持信息S1中的文本S1。\n
利用2—2013年2021 m高空气温和1年国家气象站（五道梁和沱沱河）降水数据对气候条件进行表征。由于RTS通常在解冻季节启动和活跃，因此研究了解冻季节的年平均气温和累积降水量。
", "ds_process_way": "在这项研究中，航天飞机雷达地形任务数字高程数据在90米分辨率下被用作数字高程模型（DEM）。高程、坡度角、地形位置指数（TPI）和坡向是从 ArcGIS 中的90mDEM中计算或提取的。TPI被定义为像素高程与其周围环境之间的差异。正TPI表示像素高于其周围环境，而负TPI表示较低的位置。
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2022-10-01 00:00:00", "ds_acq_end_time": "2022-10-31 00:00:00", "ds_acq_place": "青藏高原", "ds_acq_lon_east": 80.0, "ds_acq_lat_south": 25.0, "ds_acq_lon_west": 100.0, "ds_acq_lat_north": 40.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 1627603, "ds_files_count": 2, "ds_format": ".shp", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "83cabf1c-3199-4c93-936f-ec9cce112828.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2023-08-25 15:39:16", "last_updated": "2025-06-30 16:20:08", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB3911.2023", "license": null, "i18n": { "en": { "title": "Inverted thaw-collapse dataset in the permafrost region of the Tibetan Plateau", "ds_format": ".shp", "ds_source": "&Emsp;The RTS boundaries of the entire perennial permafrost zone of the QTP were delineated using Gaofen-1 and Gaofen-2 orthogonal images taken in 1-2 years. In addition, orthogonal satellite image time series (resolution ≥ 5.2008 m) were acquired for 2018 or 2020-2 to estimate the annual changes in RTS in three typical regions: the Hoh Xil Mountains (HXM), the Hongliang River region (HLR), and the Maqu region (MQC). For more detailed information on these images, see text S1 in Supporting Information S1.\n
\nClimatic conditions were characterized using 2-2013 air temperatures at 2021 m altitude and 1-year precipitation data from national weather stations (Wudaoliang and Totuohe). Since the RTS is usually initiated and active during the thaw season, the mean annual temperature and cumulative precipitation during the thaw season were studied.
", "ds_quality": "&Emsp; Good quality of data
", "ds_ref_way": "", "ds_abstract": "&Emsp This dataset contains an inventory of manually interpreted regressive thaw-thaw slumps (RTS) in the Tibetan Plateau permafrost region (QTP) based on field surveys and Gaofen-1 and Gaofen-2 imagery.The RTS are visually detected on the basis of recently exposed sediments, undeveloped vegetation, and distinctive top walls. To avoid misdelineation of the RTS, the entire permafrost area of the QTP was divided into a large number of grids, each measuring 5 × 5 km. Grids with slopes lower than 1° or higher than 15° were excluded because, based on our previous studies and field investigations, RTSs were rarely found on these slopes.RTSs in the remaining grids were detected and sketched by the first author and then checked by at least two other experienced authors. Once an RTS was identified, it was assigned a unique number and categorized according to its starting position, e.g. next to a river (R), lake erosion (L) and after active layer separation sliding had occurred.
", "ds_time_res": "", "ds_acq_place": "Qinghai-Tibetan plateau", "ds_space_res": "", "ds_projection": "", "ds_process_way": "&Emsp;In this study, Shuttle Radar Topography Mission digital elevation data at 90m resolution were used as a digital elevation model (DEM). Elevation, slope angle, terrain position index (TPI), and slope direction were computed or extracted from the 90m DEM in ArcGIS.TPI was defined as the difference between a pixel's elevation and its surroundings. A positive TPI indicates that the pixel is higher than its surroundings, while a negative TPI indicates a lower position.
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "冻土融化", "倒退融塌陷", "气候系统" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原" ], "ds_time_tags": [ 2022 ], "ds_contributors": [ { "true_name": "罗京", "email": "luojing@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": "牛富俊", "email": "niufujun@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": "林战举", "email": "zhanjulin@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": "罗京", "email": "luojing@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": "罗京", "email": "luojing@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" }