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.
Dataset Name: SurgeGalacierCPECSince2010.Shp
Attribute information:
Glac_ID: Glacier number in RGI 7.0
Area: Glacier area (km2)
BeforeImg: Image before jumping
AfterImg: The image after jumping
Longitude: longitude of glacier center (°)
Latitude: Glacier center latitude (°)
Inidate: Date of jump start
Ter_date: The date when the jump ends
Surge_dur: Jump duration
Name: Glacier names in RGI 7.0
Ele_SIN: The lowest elevation of the glacier (m)
Ele_maX: The highest altitude of the glacier (m)
Ele_AVE: Average elevation of glaciers (m)
Slope_MIN: The lowest slope of a glacier (°)
Slope_MAX: Maximum slope of glacier (°)
Slope_AVE: Average slope of glacier (°)
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.
2. DEM data: SRTM DEM data with a spatial resolution of 1 ", download link: http://imagico.de/map/demsearch.php .
3. Historical Glacier Leap Data of China Pakistan Economic Corridor:
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.
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.
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
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.
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.
4. Interaction inspection and quality control: Further verify the reliability of events through interaction inspection.
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%.
| # | number | name | type |
| 1 | 2022YFF0711704-05 | National key R & D plan | |
| 2 | 2022YFF0711704-04 | National key R & D plan |
This work is licensed under a
Creative
Commons Attribution 4.0 International License.
CSTR:11738.11.NCDC.NIEER.DB6502.2024
10.12072/ncdc.nieer.db6502.2024
