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Universidad glacier maps derived from external data

The dataset contains several shapefiles with information about Universidad glacier, which were derived from datasets not available to IG PAS. Said datasets were made available without charge to the PI of the "Changes of surface hydrology of a mountain glacier studied with very high resolution aerial and satellite images and machine learning " project for the purpose of realizing the goals of the project.

Data and Resources

Additional Info

Field Value
GCMD keywords
Dataset Center https://dataportal.igf.edu.pl
Maintainer Data Steward
Dataset PI
  • PI name: Julian Podgórski  PI email: jpodgofoo(at)igf.edu.pl  PI ORCID: 0000-0001-5604-3462  PI Institution: Institute of Geophysics, Polish Academy of Science  PI Department: Polar and Marine Research
Dataset Owner
  • Owner name: Institute of Geophysics of Polish Academy of Sciences  Owner PIC (Participant Identification Code): 996625337  Owner address: ul. Ksiecia Janusza 64, 01-452 Warsaw, Poland
Licence Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Dataset status Planned
Activity type maps
Access constraint Open
Embargo
Dataset modified
Version
Metadata created
Quality statement Not quality controlled
Quality Editor
  • Editor name: Julian Podgórski
Spatial distribution { "coordinates": [ [ [ -70.38436385103773, -34.71588669058857 ], [ -70.38278618365823, -34.621010142055724 ], [ -70.30223989931073, -34.62189673311622 ], [ -70.30372573409477, -34.716776406843145 ], [ -70.38436385103773, -34.71588669058857 ] ] ], "type": "Polygon" }
Region Central Chile
Start time
End time
Dataset citation
Dataset DOI https://doi.org/
External resource
Publication
  • Publication title: Evaluating the impact of the Central Chile Mega Drought on debris cover, broadband albedo, and surface drainage system of a Dry Andes glacier  Publication DOI: 10.1016/j.scitotenv.2023.166907
Project
  • Project title: Changes of surface hydrology of a mountain glacier studied with very high resolution aerial and satellite images and machine learning  Project ID: G-43  Project financing institution: National Science Center, Poland