通过文献调查收集中巴经济走廊滑坡数据集，使用最新Google Earth遥感影像识别滑坡的地表证据（如连续的地貌形态突然被破坏、明显的滑坡壁、滑坡舌从滑坡体向下延伸的特征、滑坡造成的地形地貌、植被、水系及景观生态等的异常突变）验证滑坡数据的真实性，制备中巴经济走廊历史滑坡事件。\n
数据集命名：LandslideCPEC.Shp\n
属性信息 \n
ID: 滑坡编号\n
Image: 滑坡证据的遥感影像名\n
Elevation: 滑坡处的海拔\n
Latitude: 滑坡体的纬度\n
Longitude:滑坡体的经度\n
Basin:滑坡所属流域\n
Country: 滑坡所属国家", "ds_source": "
1. Google Earth影像：通过Google Earth软件访问。\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. 中巴经济走廊历史滑坡数据：\n
YI, X., et al. 2021. An inventory dataset of the typical rockfalls and landslides in CPEC from 1970 to 2020[DS/OL]. V2. Science Data Bank, DOI: 31253.11.sciencedb.j00001.00294. CSTR:31253.11.sciencedb.j00001.00294.\n
NASA Landslide Viewer. 2021. 全球滑坡点及滑坡区域数据集（1915-2021年）. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), DOI: 10.12072/ncdc.nieer.db2700.2023. CSTR: 11738.11.ncdc.nieer.db2700.2023.\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
Liu Q., et al.2020 .inventory dataset of glacier and glacial lake related hazards (events) along the China-Pakistan Economic Corridor[DS/OL]. V1. Science Data Bank, DOI:10.11922/sciencedb.j00001.00145. CSTR:31253.11.sciencedb.j00001.00145.", "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滑坡事件。\n
2. 历史灾害事件的验证：基于Google Earth影像影像，依据连续的地貌形态突然被破坏、明显的滑坡壁、滑坡舌从滑坡体向下延伸的特征等特征验证滑坡数据的真实性，制备出中巴经济走廊历史泥石流数据。\n
3.完善属性信息：利用遥感技术提取滑坡的属性参数，包括滑坡的面积、前后缘高差、滑坡的位置、滑坡的前后平距等，建立完善的滑坡数据库。\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": "
滑坡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，考虑到部分因施工挖除、遥感解译误判等，整体可靠度优于90%。", "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": 77.78333333333333, "ds_acq_lat_south": 34.5, "ds_acq_lon_west": 72.5, "ds_acq_lat_north": 40.28333333333333, "ds_acq_alt_low": 240.0, "ds_acq_alt_high": 8560.0, "ds_share_type": "login-access", "ds_total_size": 4499673, "ds_files_count": 9, "ds_format": "shp", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "ec6269b7-9659-4cc0-b5d2-84bc08ddcdf9.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 16:55:27", "last_updated": "2025-12-08 17:35:06", "protected": true, "protected_to": "2026-06-07 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6505.2024", "i18n": { "en": { "title": "Landslide inventory of CPEC", "ds_format": "shp", "ds_source": "
1. Google Earth imagery: accessed through Google Earth software.\n
2. DEM data: SRTM DEM data with a spatial resolution of 1 \", download link: http://imagico.de/map/demsearch.php .\n
3. Historical landslide data of the China Pakistan Economic Corridor:\n
YI, X., et al. 2021. An inventory dataset of the typical rockfalls and landslides in CPEC from 1970 to 2020[DS/OL]. V2. Science Data Bank, DOI: 31253.11.sciencedb.j00001.00294. CSTR:31253.11.sciencedb.j00001.00294.\n
NASA Landslide Viewer. 2021. Global landslide point and landslide area dataset (1915-2021) National Glacier, Frozen Soil and Desert Science Data Center（ http://www.ncdc.ac.cn ), DOI: 10.12072/ncdc.nieer.db2700.2023. CSTR: 11738.11.ncdc.nieer.db2700.2023.\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
Liu Q., et al.2020 .inventory dataset of glacier and glacial lake related hazards (events) along the China-Pakistan Economic Corridor[DS/OL]. V1. Science Data Bank, DOI:10.11922/sciencedb.j00001.00145. CSTR:31253.11.sciencedb.j00001.00145.", "ds_quality": "
The landslide event has undergone strict quality control, and each event has corresponding remote sensing images and evidence. Considering some factors such as construction excavation and remote sensing interpretation errors, the overall reliability is better than 90%.", "ds_ref_way": "", "ds_abstract": "
Collect a landslide dataset for the China Pakistan Economic Corridor through literature review, and use the latest Google Earth remote sensing images to identify surface evidence of landslides (such as sudden destruction of continuous landforms, obvious landslide walls, features of landslide tongues extending downward from the landslide body, abnormal changes in topography, vegetation, water systems, and landscape ecology caused by landslides) to verify the authenticity of landslide data and prepare historical landslide events for the China Pakistan Economic Corridor.\n
Dataset Name: LandslidePEC.Shp\n
Attribute Information\n
ID: Landslide Number\n
Image: Remote sensing image name of landslide evidence\n
Elevation: altitude at the landslide site\n
Latitude: The latitude of the landslide mass\n
Longitude: The longitude of the landslide mass\n
Basin: The watershed to which the landslide belongs\n
Country: The country to which the landslide 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 landslide events in the China Pakistan Economic Corridor from various channels.\n
2. Verification of historical disaster events: Based on Google Earth imagery, the authenticity of landslide data is verified through features such as sudden destruction of continuous landforms, obvious landslide walls, and the downward extension of landslide tongues from the landslide body, and historical debris flow data for the China Pakistan Economic Corridor is prepared.\n
3. Improve attribute information: Utilize remote sensing technology to extract attribute parameters of landslides, including landslide area, height difference between front and rear edges, landslide location, and front and rear horizontal distance, and establish a comprehensive landslide database.\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": [ "滑坡", "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": "灾害" }