Skip to main content

An evaluation of sampling strategies to improve precision of estimates of gross change in land use and land cover

Buy Article:

$55.00 plus tax (Refund Policy)

Statistical sampling offers a cost‐effective, practical alternative to complete‐coverage mapping for the objective of estimating gross change in land cover over large areas. Because land cover change is typically rare, the sampling strategy must take advantage of design and analysis tools that enhance precision. Using two populations of land cover change in the eastern United States, we demonstrate that the choice of sampling unit size and use of a survey sampling regression estimator can significantly improve precision with only a minor increase in cost.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Affiliations: 1: SUNY College of Environmental Science and Forestry, 320 Bray Hall, Syracuse, NY 13210 2: Science Applications International Corporation (SAIC), USGS EROS Data Center, Sioux Falls, SD 57198 3: US Geological Survey, USGS EROS Data Center, Sioux Falls, SD 57198

Publication date: 20 November 2005

More about this publication?
  • 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
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