Digital Elevation Model (DEM) Data for the North Slope of Alaska [Jia, J., H. Epstein, D. Walker]

This dataset contains the digital elevation model on the North Slope of Alaska, with 1m vertical resolution and 1-km pixel resolution. This dataset was originally subtracted from United States Geological Survey (USGS) GTOPO30 Dataset, and made appropriate conversion and correction.

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Temporal Range

  • Begin:  2000-04-01T00:00:00Z
    End:  2000-10-13T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2000-04-01T00:00:00Z
Temporal Range End 2000-10-13T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 67.69000
Bounding Box South Lat 52.92000
Bounding Box West Long -168.59000
Bounding Box East Long -116.01000
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Documentation #1 : nsdem.txt
Additional Information N/A
Resource Format ARCINFO
Standardized Resource Format ArcInfo
Asset Size 1 MB
Legal Constraints

none
Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email datahelp@eol.ucar.edu
Resource Support Organization UCAR/NCAR - Earth Observing Laboratory
Distributor UCAR/NCAR - Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email datahelp@eol.ucar.edu
Metadata Contact Organization UCAR/NCAR - Earth Observing Laboratory

Author Gensuo Jiong Jia
Howard Epstein
Donald A. (Skip) Walker
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2007-11-02T13:36:45
Digital Object Identifier (DOI) https://doi.org/10.5065/D6BV7DR4
Alternate Identifier 46.642
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:46:38Z
Metadata Record Identifier edu.ucar.eol::46.642
Metadata Language eng; USA
Suggested Citation Gensuo Jiong Jia, Howard Epstein, Donald A. (Skip) Walker. (2007). Digital Elevation Model (DEM) Data for the North Slope of Alaska [Jia, J., H. Epstein, D. Walker]. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.5065/D6BV7DR4. Accessed 22 November 2024.

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