本数据集通过文献调查收集中巴经济走廊冰川跃动数据，获取不同时间的遥感影像，比较不同时间遥感影像的差异，观察冰川的形态、位置和边界的变化情况，如冰舌的伸缩或冰川前缘的移动，冰川表面的裂缝、褶皱、堆积物等情况，校验研究区历史冰川跃动得真实性与可靠性。\n
数据集命名：SurgeGlacierCPECSince2010.Shp\n
属性信息：\n
Glac_ID: RGI 7.0中的冰川编号\n
Area: 冰川的面积(km2)\n
BeforeImg: 跃动前的影像\n
AfterImg: 跃动后的影像\n
Longitude: 冰川中心经度(°)\n
Latitude: 冰川中心纬度(°)\n
Ini_date: 跃动开始的日期\n
Ter_date: 跃动结束的日期\n
Surge_dur: 跃动持续时间\n
Name: RGI 7.0中的冰川名称\n
Ele_MIN: 冰川的最低海拔(m)\n
Ele_MAX: 冰川的最高海拔(m)\n
Ele_AVE: 冰川的平均海拔(m)\n
Slope_MIN: 冰川的最低坡度(°)\n
Slope_MAX: 冰川的最大坡度(°)\n
Slope_AVE: 冰川的平均坡度(°)", "ds_source": "
1. Landsat陆地卫星影像数据：从美国地质调查局网站(https://www.usgs.gov/)和地理空间数据云(http://www.gscloud.cn/)下载。\n
2. DEM数据：空间分辨率为1″的SRTM DEM数据，下载地址:http://imagico.de/map/demsearch.php。\n
3. 中巴经济走廊历史冰川跃动数据：\n
Guo, L.,et al. 2023. A new inventory of High Mountain Asia surging glaciers derived from multiple elevation datasets since the 1970s, Earth Syst. Sci. Data, 15, 2841–286.\n
Lv, M., et al. 2021. A dataset of surge-type glaciers in the High Mountain Asia based on elevation change and satellite imagery[DS/OL]. V2. Science Data Bank.", "ds_process_way": "
1. 历史灾害资料的收集和筛选：从多种渠道收集中巴经济走廊历史冰川跃动事件，筛选2010年来爆发的事件\n
2. 灾害事件的验证：合成Landsat卫星影像的假彩色，基于Landsat卫星影像，依据冰舌的伸缩或冰川前缘的移动，冰川表面的裂缝、褶皱、堆积物等情况，检验收集到的冰川跃动事件的可靠性。\n
3. 参数提取：借助遥感技术与平台提取冰川面积、冰川跃动前后遥感影像名称、地理位置、高程、坡度，完善研究区历史冰川跃动数据库。\n
4. 交互检查和质量控制：通过交互检查进一步检验事件的可靠性。", "ds_quality": "
冰川跃动事件经过严格的质量控制，且每个事件均有对应的遥感影像和证据，可靠度优于95%。", "ds_acq_start_time": "2010-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "中巴经济走廊北部高山高海拔区，中巴公路喀什至塔科特段沿途全部内流流域", "ds_acq_lon_east": 77.75, "ds_acq_lat_south": 34.5, "ds_acq_lon_west": 72.5, "ds_acq_lat_north": 40.25, "ds_acq_alt_low": 240.0, "ds_acq_alt_high": 8560.0, "ds_share_type": "login-access", "ds_total_size": 1204080, "ds_files_count": 8, "ds_format": "shp", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "5af5540d-d7e1-4fda-97e3-aedd067ed61a.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "9de89acc-5714-4927-aba3-ac88067dff8a", "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": "2024-06-07 16:51:24", "last_updated": "2025-12-08 17:32:10", "protected": true, "protected_to": "2026-06-07 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6502.2024", "i18n": { "en": { "title": "Surge glacier of CPEC", "ds_format": "shp", "ds_source": "
1. Landsat land satellite imagery data: from the website of the United States Geological Survey（ https://www.usgs.gov/ ）Geospatial Data Cloud（ http://www.gscloud.cn/ ）Download.\n
2. DEM data: SRTM DEM data with a spatial resolution of 1 \", download link: http://imagico.de/map/demsearch.php .\n
3. Historical Glacier Leap Data of China Pakistan Economic Corridor:\n
Guo, L.,et al. 2023. A new inventory of High Mountain Asia surging glaciers derived from multiple elevation datasets since the 1970s, Earth Syst. Sci. Data, 15, 2841–286.\n
Lv, M., et al. 2021. A dataset of surge-type glaciers in the High Mountain Asia based on elevation change and satellite imagery[DS/OL]. V2. Science Data Bank.", "ds_quality": "
The glacier jumping event has undergone strict quality control, and each event has corresponding remote sensing images and evidence, with a reliability of over 95%.", "ds_ref_way": "", "ds_abstract": "
This dataset collects glacier leaping data in the China Pakistan Economic Corridor through literature review, obtains remote sensing images at different times, compares the differences in remote sensing images at different times, observes the changes in glacier morphology, position, and boundaries, such as the expansion and contraction of ice tongues or the movement of glacier front edges, cracks, folds, deposits on glacier surfaces, etc., and verifies the authenticity and reliability of historical glacier leaping in the study area.\n
Dataset Name: SurgeGalacierCPECSince2010.Shp\n
Attribute information:\n
Glac_ID: Glacier number in RGI 7.0\n
Area: Glacier area (km2)\n
BeforeImg: Image before jumping\n
AfterImg: The image after jumping\n
Longitude: longitude of glacier center (°)\n
Latitude: Glacier center latitude (°)\n
Inidate: Date of jump start\n
Ter_date: The date when the jump ends\n
Surge_dur: Jump duration\n
Name: Glacier names in RGI 7.0\n
Ele_SIN: The lowest elevation of the glacier (m)\n
Ele_maX: The highest altitude of the glacier (m)\n
Ele_AVE: Average elevation of glaciers (m)\n
Slope_MIN: The lowest slope of a glacier (°)\n
Slope_MAX: Maximum slope of glacier (°)\n
Slope_AVE: Average slope of glacier (°)
", "ds_time_res": "", "ds_acq_place": "The high mountain and high-altitude areas in the northern part of the China Pakistan Economic Corridor, along the Kashgar to Takote section of the China Pakistan Highway, all flow into the river basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "1. Collection and screening of historical disaster data: Collect historical glacier leaping events in the China Pakistan Economic Corridor from various channels and screen for events that have erupted since 2010\n
2. Verification of disaster events: Synthesize false color Landsat satellite images, and based on Landsat satellite images, verify the reliability of collected glacier jumping events based on the expansion and contraction of ice tongues or the movement of glacier front edges, cracks, folds, deposits, and other conditions on glacier surfaces.\n
3. Parameter extraction: Using remote sensing technology and platforms to extract glacier area, remote sensing image names before and after glacier leaping, geographic location, elevation, and slope, and improve the historical glacier leaping database in the study area.\n
4. Interaction inspection and quality control: Further verify the reliability of events through interaction inspection.", "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": [ "冰川跃动", "中巴经济走廊" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中巴经济走廊" ], "ds_time_tags": [ 2010, 2022 ], "ds_contributors": [ { "true_name": "吴宇宏", "email": "wyh@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" }, { "true_name": "聂勇", "email": "nieyong@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" }, { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "吴宇宏", "email": "wyh@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" }, { "true_name": "聂勇", "email": "nieyong@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" }, { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" } ], "ds_managers": [ { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" } ], "category": "冰川" }