通过文献调查收集中巴经济走廊泥石流数据集，使用2022年遥感影像识别泥石流冲刷的痕迹（如河道沉积物、裸露的岩石表面、植被冲毁、扇形冲积扇和泥石流沟的冲刷痕迹等）验证泥石流数据的真实性，得出中巴经济走廊历史泥石流事件。结合2010年遥感影像，比较泥石流前后的遥感影像，观察地表特征的变化情况，识别2010后发生的泥石流事件，制作2010年以来中巴经济走廊泥石流数据库。\n
数据集命名：\n
DebrisFlowCPECSince2010.Shp\n
DebrisFlowCPEC.shp\n
属性信息 \n
ID: 泥石流编号\n
Image: 泥石流证据的遥感影像名\n
BeforeImg: 泥石流发生前的影像\n
AfterImg: 泥石流发生后的影像\n
Longitude:泥石流冲积扇中心点的经度 (°)\n
Latitude: 泥石流冲积扇中心点纬度 (°)\n
Elevation: 泥石流的海拔 (m)\n
Basin: 泥石流所属的流域", "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. Sentinel-2卫星影像数据：从欧空局(https://dataspace.copernicus.eu/) 下载。\n
3. 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
4. 中巴经济走廊历史泥石流事件数据\n
Zou, Q. 2019. Landslides and debris flows in CPEC. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Disas.tpdc.271671. CSTR: 18406.11.Disas.tpdc.271671.\n
Jiang Y., et al. 2021 Distribution and characteristics of debris flows in China-Pakistan Economic Corridor[DS/OL]. V3. Science Data Bank, DOI:31253.11.sciencedb.j00001.00300. CSTR:31253.11.sciencedb.j00001.00300.", "ds_process_way": "
1. 历史灾害资料的收集：从多种渠道收集中巴经济走廊历史泥石流事件。\n
2. 历史灾害事件的验证：基于最新Sentinel卫星遥感影像，依据河道沉积物、裸露的岩石表面、植被冲毁、扇形冲积扇和泥石流沟的冲刷痕迹等特征验证泥石流数据的真实性，制备出中巴经济走廊历史泥石流数据。\n
3. 2010年来泥石流事件的验证：结合2010年遥感影像，比较泥石流前后的遥感影像，观察地表特征的变化情况，识别2010后发生的泥石流事件，制作2010年以来中巴经济走廊泥石流数据库\n
4.完善属性信息：利用遥感技术提取泥石流属性信息，包括泥石流发生前后遥感影像、泥石流位置、高程和坡度等，建立完善的泥石流数据库。\n
5. 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": "
泥石流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，可靠度为100%。", "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": 871751, "ds_files_count": 17, "ds_format": "shp", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "13f28b1b-78ab-4a6d-b392-5be6fe82ca71.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 16:55:23", "last_updated": "2025-07-04 09:22:12", "protected": true, "protected_to": "2026-06-07 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6506.2024", "i18n": { "en": { "title": "Debris flow inventory 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. Sentinel-2 satellite imagery data: from the European Space Agency（ https://dataspace.copernicus.eu/ ）Download.\n
3. DEM data: SRTM DEM data with a spatial resolution of 1 \", download link: http://imagico.de/map/demsearch.php .\n
4. Historical data on debris flow events in the China Pakistan Economic Corridor\n
Zou, Q. 2019. Landslides and debris flows in CPEC. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Disas.tpdc.271671. CSTR: 18406.11.Disas.tpdc.271671.\n
Jiang Y., et al. 2021 Distribution and characteristics of debris flows in China-Pakistan Economic Corridor[DS/OL]. V3. Science Data Bank, DOI:31253.11.sciencedb.j00001.00300. CSTR:31253.11.sciencedb.j00001.00300.", "ds_quality": "
The debris flow event has undergone strict quality control, and each event has corresponding remote sensing images and evidence, with a reliability of 100%.", "ds_ref_way": "", "ds_abstract": "
Collecting a dataset of debris flows in the China Pakistan Economic Corridor through literature review, using remote sensing images from 2022 to identify traces of debris flow erosion (such as river sediment, exposed rock surfaces, vegetation erosion, fan-shaped alluvial fans, and debris flow gullies) to verify the authenticity of debris flow data, and obtain historical debris flow events in the China Pakistan Economic Corridor. Based on the 2010 remote sensing images, compare the remote sensing images before and after the debris flow, observe the changes in surface features, identify debris flow events that occurred after 2010, and create a debris flow database for the China Pakistan Economic Corridor since 2010.\n
Dataset Naming:\n
DebrisFlowCPECSince2010.Shp\n
DebrisFlowCPEC.shp\n
Attribute Information\n
ID: Mudflow Number\n
Image: Remote sensing image name of debris flow evidence\n
BeforeImg: Images before the occurrence of mudslides\n
AfterImg: Image after debris flow occurrence\n
Longitude: The longitude of the center point of the debris flow alluvial fan (°)\n
Latitude: Center point latitude of debris flow alluvial fan (°)\n
Elevation: altitude of debris flow (m)\n
Basin: The watershed to which the debris flow belongs
", "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 of historical disaster data: Collect historical debris flow events in the China Pakistan Economic Corridor from various channels.\n
2. Verification of historical disaster events: Based on the latest Sentinel satellite remote sensing images, the authenticity of debris flow data is verified based on characteristics such as river sediment, exposed rock surfaces, vegetation erosion, fan-shaped alluvial fans, and debris flow gullies, and historical debris flow data of the China Pakistan Economic Corridor is prepared.\n
3. Verification of debris flow events since 2010: Combining remote sensing images from 2010, comparing the remote sensing images before and after the debris flow, observing changes in surface features, identifying debris flow events that occurred after 2010, and creating a debris flow database for the China Pakistan Economic Corridor since 2010\n
4. Improve attribute information: Utilize remote sensing technology to extract debris flow attribute information, including remote sensing images before and after debris flow occurrence, debris flow location, elevation, and slope, and establish a comprehensive debris flow database.\n
5. 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": "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": [ "泥石流", "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": [ 1970, 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": "灾害" }