USGS Selected 3-Second Elevations for Colorado, Hawaii, and the U.S. Great Plains

This dataset contains 3-second terrain elevation data, from the U.S. Geological Survey, for Colorado, Hawaii, and the U.S. Great Plains covered by the STORM-FEST project.

To Access Resource:

Questions? Email Resource Support Contact:

  • Bob Dattore
    dattore@ucar.edu
    UCAR/NCAR - Research Data Archive

Keywords

Resource Type dataset
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format ASCII
Standardized Resource Format ASCII
Asset Size 1606 MB
Legal Constraints

Creative Commons Attribution 4.0 International License
Access Constraints None
Software Implementation Language N/A

Resource Support Name Bob Dattore
Resource Support Email dattore@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author Earth Resources Observation and Science Center, U.S. Geological Survey, U.S. Department of the Interior
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1991-10-03
Digital Object Identifier (DOI) https://doi.org/10.5065/GEBK-6956
Alternate Identifier d756005
Resource Version N/A
Topic Category elevation
Progress completed
Metadata Date 2024-08-04T02:11:42Z
Metadata Record Identifier edu.ucar.rda::d756005
Metadata Language eng; USA
Suggested Citation Earth Resources Observation and Science Center, U.S. Geological Survey, U.S. Department of the Interior. (1991). USGS Selected 3-Second Elevations for Colorado, Hawaii, and the U.S. Great Plains. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/GEBK-6956. Accessed 05 February 2025.

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