Sampling and Computer-contouring Technique for Estimating Distribution of Crops in a Large Geographical Area

$28.00 plus tax (Refund Policy)

Buy Article:

Abstract:

A method was developed to estimate percentage of land planted to a particular crop (or other use) over a large area based on samples taken in a regular grid. Sample points were spaced 3.2 km apart and covered 490.9 km2. A combination of two-dimensional smoothing and nonlinear transformation was used to adjust the point estimates. A computer contouring technique was used to compare estimated levels of crop density against values obtained from aerial photographs. The sampling and contouring techniques provided an adequate estimate of distribution of cotton and rangeland, which occupied 38.8 and 6.9%, respectively, of the study area. This method should be useful for estimating distribution of host plants of insect pests, and the technique provides an alternative to the use of aerial photography for estimating crop distribution.

Document Type: Research Article

Publication date: October 1, 1986

More about this publication?
  • Journal of Economic Entomology is published bimonthly in February, April, June, August, October, and December. The journal publishes articles on the economic significance of insects and is divided into the following sections: apiculture & social insects; arthropods in relation to plant disease; forum; insecticide resistance and resistance management; ecotoxicology; biological and microbial control; ecology and behavior; sampling and biostatistics; household and structural insects; medical entomology; molecular entomology; veterinary entomology; forest entomology; horticultural entomology; field and forage crops, and small grains; stored-product; commodity treatment and quarantine entomology; and plant resistance. In addition to research papers, Journal of Economic Entomology publishes Letters to the Editor, interpretive articles in a Forum section, Short Communications, Rapid Communications, and Book Reviews.
  • Editorial Board
  • Submit a Paper
  • Subscribe to this Title
  • Information for Advertisers
  • Visit this journal's homepage
  • ingentaconnect is not responsible for the content or availability of external websites
Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect 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