Global Digital 1-Degree Soil Type and Surface Slope

Global data for soil type, texture, surface slope and other properties, at a 1 degree resolution. Based on FAO soil maps (1974) and on Matthews vegetation dataset (DS765.0. [http://rda.ucar.edu/datasets/ds765.0/]). Has more details about soil than the Wilson dataset (DS767.0 [http://rda.ucar.edu/datasets/ds767.0/]) (from Zobler, 1986 files). See NASA Technical Memorandum 100685, Staub and Rosenzweig.

To Access Resource:

Questions? Email Resource Support Contact:

  • Chi-Fan Shih
    chifan@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 90
Bounding Box South Lat -90
Bounding Box West Long -180
Bounding Box East Long 180
Spatial Representation grid
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format ASCII
Standardized Resource Format ASCII
Asset Size 3.00 MB
Legal Constraints

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

Resource Support Name Chi-Fan Shih
Resource Support Email chifan@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 Staub, Brad
Rosenzweig, Cynthia R.
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1988-01-27
Digital Object Identifier (DOI) https://doi.org/10.5065/01ED-AG50
Alternate Identifier d770000
Resource Version N/A
Topic Category imageryBaseMapsEarthCover
Progress completed
Metadata Date 2024-08-04T02:11:44Z
Metadata Record Identifier edu.ucar.rda::d770000
Metadata Language eng; USA
Suggested Citation Staub, Brad, Rosenzweig, Cynthia R.. (1988). Global Digital 1-Degree Soil Type and Surface Slope. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/01ED-AG50. Accessed 22 November 2024.

Harvest Source