Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If You Use a Screen Reader

This content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.

A Remote Rangeland Analysis System

Eugene L. Maxwell
Journal of Range Management
Vol. 29, No. 1 (Jan., 1976), pp. 66-73
DOI: 10.2307/3897699
Stable URL: http://www.jstor.org/stable/3897699
Page Count: 8
  • Read Online (Free)
  • Subscribe ($19.50)
  • Cite this Item
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
A Remote Rangeland Analysis System
Preview not available

Abstract

This paper describes a "now" capability whereby satellite imagery could provide range managers with maps and tables giving standing crop biomass for selected species groups or range types (swales, uplands, etc.). This capability is provided by a remote rangeland analysis system which can monitor the effects of weather, grazing intensity, and land-management actions on primary production. The system concepts resulted from a project designed to assess the usefulness of ERTS and other remote sensing systems as sources of information for rangeland management. A field measurement program supported and verified the successful use of ERTS imagery for computer classification of vegetation type and quantity of standing crop biomass. Biomass classification was accomplished on three successive ERTS images, without changing the classification parameters, indicating that biomass classification may be less critical than expected. Extensive statistical analysis of ERTS data has shown that the MSS (multispectral scanner) Channel 5 and the ratio of Channel 7 to Channel 5 provide the most significant variables for vegetation type and biomass classifications. Cross-classification results of vegetation type and biomass provide tables summarizing biomass availability by species groups and in total acres.

Page Thumbnails

  • Thumbnail: Page 
66
    66
  • Thumbnail: Page 
67
    67
  • Thumbnail: Page 
68
    68
  • Thumbnail: Page 
69
    69
  • Thumbnail: Page 
70
    70
  • Thumbnail: Page 
71
    71
  • Thumbnail: Page 
72
    72
  • Thumbnail: Page 
73
    73