Skip to page content
USDA Forest Service
  
Treesearch

Research & Development Treesearch

 
Treesearch Home
About Treesearch
Contact Us
Research & Development
Forest Products Lab
International Institute of Tropical Forestry
Northern
Pacific Northwest
Pacific Southwest
Rocky Mountain
Southern Research Station
Help
 

Science.gov - We Participate


USA.gov  Government Made Easy


Global Forest Information Service

US Forest Service
P.O. Box 96090
Washington, D.C.
20090-6090

(202) 205-8333

You are here: Home / Search / Publication Information
Bookmark and Share

Publication Information

View PDF (1.5 MB)

Title: Accuracy assessments and areal estimates using two-phase stratified random sampling, cluster plots, and the multivariate composite estimator

Author: Czaplewski, Raymond L. Ph.D.;

Date: 2000

Source: In: Mowrer, H. Todd; Congalton, Russell G., editors. Quantifying spatial uncertainty in natural resources: Theory and applications for GIS and remote sensing. Chelsea, MI: Ann Arbor Press. p. 79-100.

Publication Series: Book Chapter

Description: Consider the following example of an accuracy assessment. Landsat data are used to build a thematic map of land cover for a multicounty region. The map classifier (e.g., a supervised classification algorithm) assigns each pixel into one category of land cover. The classification system includes 12 different types of forest and land cover: black spruce, balsam fir, white-cedar, other softwoods, aspen, birch, other hardwoods, urban, wetland, water, pasture, and agriculture. The accuracy of the map must be known by a user of the map to conduct credible analyses.

Keywords: accuracy assessments, areal estimates, two-phase stratified random sampling, cluster plots, multivariate composite estimator, Landsat data, map classifier

Publication Notes:

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
  • You may send email to rmrspubrequest@fs.fed.us to request a hard copy of this publication. (Please specify exactly which publication you are requesting and your mailing address.)

XML: View XML

Citation:


Czaplewski, Raymond L. 2000. Accuracy assessments and areal estimates using two-phase stratified random sampling, cluster plots, and the multivariate composite estimator. In: Mowrer, H. Todd; Congalton, Russell G., editors. Quantifying spatial uncertainty in natural resources: Theory and applications for GIS and remote sensing. Chelsea, MI: Ann Arbor Press. p. 79-100.

 


 [ Get Acrobat ]  Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

USDA logo which links to the department's national site. Forest Service logo which links to the agency's national site.