GRASS Hardware Configurations Guide

Abstract

The Geographic Resources Analysis Support System (GRASS) is a geographic information and image processing system originally designed to serve land managers and environment planners at Army installations. GRASS is written in C and operates on computers running UNIX. Since its initial development, GRASS has been used for many applications on a number of different hardware configurations. This Guide contains information to aid the user in configuring a hardware system that will support the implementation and use of GRASS software. Included are minimum hardware specifications that have been tested and are fully supported, and information on systems currently supported by an authorized GRASS support center that have successfully completed a beta test as outlined by the U.S. Army Construction Engineering Research Laboratory (USACERL). Also included is information on peripheral and performance options compatible with GRASS hardware configuration, and a listing of GRASS support centers and the computer systems and/or agencies that they support. This Guide is not meant as an endorsement of the products or tradenames listed within, but only as a reference for the user considering hardware upon which to run GRASS.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA220954

Entities

People

  • Douglas Brooks
  • Mark A. Johnson
  • Michael Higgins

Organizations

  • Construction Engineering Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Backup Systems
  • Beta Testing
  • Cartography
  • Computer Science
  • Computers
  • Data Processing
  • Electronics Industry
  • Engineering
  • Environment
  • Geographic Information Systems
  • Graphics
  • Image Processing
  • Information Processing
  • Operating Systems
  • Remote Sensing
  • Standards

Readers

  • Agricultural Chemistry/Soil Science
  • Computer Science.
  • Library and Information Science