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.
Dataset Name: LandslidePEC.Shp
Attribute Information
ID: Landslide Number
Image: Remote sensing image name of landslide evidence
Elevation: altitude at the landslide site
Latitude: The latitude of the landslide mass
Longitude: The longitude of the landslide mass
Basin: The watershed to which the landslide belongs
Country: The country to which the landslide belongs
1. Google Earth imagery: accessed through Google Earth software.
2. DEM data: SRTM DEM data with a spatial resolution of 1 ", download link: http://imagico.de/map/demsearch.php .
3. Historical landslide data of the China Pakistan Economic Corridor:
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.
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.
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.
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.
1. Collection of historical disaster data: Collect historical landslide events in the China Pakistan Economic Corridor from various channels.
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.
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.
4. Interaction inspection and quality control: Further verify the reliability of events through interaction inspection.
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%.
| # | number | name | type |
| 1 | 2022YFF0711704-05 | National key R & D plan | |
| 2 | 2022YFF0711704-04 | National key R & D plan | |
| 3 | 2022YFF0711703 | Permafrost Variable Rapid Change Intelligent Discovery and Evolution Perception Data Engineering | National key R & D plan |
This work is licensed under a
Creative
Commons Attribution 4.0 International License.
CSTR:11738.11.NCDC.NIEER.DB6505.2024
10.12072/ncdc.nieer.db6505.2024
