You are here: Home
/ Publication Information
Title: A Model-Based Approach to Inventory Stratification
Author: McRoberts, Ronald E.
Source: In: Proceedings of the sixth annual forest inventory and analysis symposium; 2004 September 21-24; Denver, CO. Gen. Tech. Rep. WO-70. Washington, DC: U.S. Department of Agriculture Forest Service. 126p.
Publication Series: General Technical Report (GTR)
Description: Forest inventory programs report estimates of forest variables for areas of interest ranging in size from municipalities to counties to States and Provinces. Classified satellite imagery has been shown to be an effective source of ancillary data that, when used with stratified estimation techniques, contributes to increased precision with little corresponding increase in costs. A new approach to stratification based on using satellite imagery and a logistic regression model to predict proportion forest area is proposed. The results suggest that precision may be substantially increased for estimates of proportion forest area and volume per unit area.
- 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.
- This publication may be available in hard copy. Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
XML: View XML
McRoberts, Ronald E. 2006. A Model-Based Approach to Inventory Stratification. In: Proceedings of the sixth annual forest inventory and analysis symposium; 2004 September 21-24; Denver, CO. Gen. Tech. Rep. WO-70. Washington, DC: U.S. Department of Agriculture Forest Service. 126p.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility