The enhanced forest inventory and analysis program - national sampling design and estimation procedures

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  • Authors: Bechtold, William A.; Patterson, Paul L.; [Editors],
  • Publication Year: 2005
  • Publication Series: General Technical Report (GTR)
  • Source: Gen. Tech. Rep. SRS-80. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 85 p.
  • DOI: 10.2737/SRS-GTR-80

Abstract

Addendum: The supplementary documents referenced in this manuscript are posted on the Web site https://www.fia.fs.fed.us/library/sampling/index.php

The Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture Forest Service is in the process of moving from a system of quasiindependent, regional, periodic inventories to an enhanced program featuring greater national consistency, annual measurement of a proportion of plots in each State, new reporting requirements, and integration with the ground sampling component of the Forest Health Monitoring Program. This documentation presents an overview of the conceptual changes, explains the three phases of FIA's sampling design, describes the sampling frame and plot configuration, presents the estimators that form the basis of FIA's National Information Management System (NIMS), and shows how annual data are combined for analysis. It also references a number of Web-based supplementary documents that provide greater detail about some of the more obscure aspects of the sampling and estimation system, as well as examples of calculations for most of the common estimators produced by FIA.

  • Citation: Bechtold, William A.; Patterson, Paul L.; [Editors] 2005. The enhanced forest inventory and analysis program - national sampling design and estimation procedures. Gen. Tech. Rep. SRS-80. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 85 p.
  • Keywords: annual inventory, FIA, forest health monitoring, forest inventory, plot design, sampling frame
  • Posted Date: April 1, 1980
  • Modified Date: December 20, 2017
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