Skip to main content

Optimum Dot-Grid Density for Area Estimation with Aerial Photographs

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

Dot-count sampling to estimate area from 1:12,000 scale aerial photographs was tested with grid densities of 4, 16, and 49 dots per square inch. All three densities gave unbiased estimates. Variances may be validly estimated by assuming random sampling and the binomial model when dot density is greater than 27--the optimum density for per-dot reduction in variance. The coefficient of variation can be predicted from dot density of the grid and estimated proportion of dots in the cover type of interest.

Document Type: Journal Article

Affiliations: Associate Professor, of Forest Biometrics at the University of Georgia, Athens 30602

Publication date: 1984-07-01

More about this publication?
  • The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.

    2015 Impact Factor: 1.476
    Ranking: 22 of 66 in forestry

    Average time from submission to first decision: 39.6 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Forest Science
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • SAF Convention Abstracts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more