The centerlines and maximum lengths of global mountain glaciers were extracted using an automatic extraction algorithm based on the global glacier inventory data, digital elevation model (DEM) data, and European allocation theory. In total, 198,137 glacier centerlines were generated, accounting for 99.74% of the total input glaciers and 91.52% of the RGI v6.0. The accuracy of glacier centerlines was 89.68%. A dataset containing 17 sub-datasets was generated through the above work, including two basic input datasets (Input glacier outlines and global glacier DEMs), two key result datasets (Global glacier centerlines and global glacier maximum lengths), four process datasets, six derived result datasets, and three supplementary datasets.
Data sourced from Randolph Glacier Inventory version 6.0（ https://www.glims.org/RGI/ ）.
This study relies on two key input datasets: the Global Glacier Inventory and the Global Glacier Elevation Compilation. The main steps include (1) designing an algorithm to check all glacier contours and eliminate defective glacier polygons; (2) Buffering glaciers to generate masks containing global glaciers and their buffer zones; (3) According to the mask in step 2, embed the global DEM to prepare global glacier elevation data. (4) Repeat testing in each region to determine the automatic extraction parameters of the global glacier centerline. (5) Input the global DEM, glacier contour dataset, and all parameters into the designed automatic extraction software. (6) Verify and compare with the existing centerline results to evaluate the accuracy of the new dataset.
The data quality is good.
This work is licensed under a
Creative
Commons Attribution 4.0 International License.
CSTR:31253.11.sciencedb.01643
10.11922/sciencedb.01643