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2010•Unpublished venueOpen access

The Forest Inventory and Analysis Database: Database description and users manual version 4.0 for Phase 2

Sharon W. Woudenberg, Barbara L. Conkling, Barbara M. O'Connell, Elizabeth B. LaPoint, Jeffery A. Turner, Karen L. Waddell

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Abstract

This document is based on previous documentation of the nationally standardized Forest Inventory and Analysis database (Hansen and others 1992;Woudenberg and Farrenkopf 1995; Miles and others 2001).Documentation of the structure of the Forest Inventory and Analysis database (FIADB) for Phase 2 data, as well as codes and definitions, is provided.Examples for producing population level estimates are also presented.This database provides a consistent framework for storing forest inventory data across all ownerships for the entire United States.These data are available to the public.

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This document is based on previous documentation of the nationally standardized Forest Inventory and Analysis database (Hansen and others 1992;Woudenberg and Farrenkopf 1995; Miles and others 2001).Documentation of the structure of the Forest Inventory and Analysis database (FIADB) for Phase 2 data, as well as codes and definitions, is provided.Examples for producing population level estimates are also presented.This database provides a consistent framework for storing forest inventory data across all ownerships for the entire United States.These data are available to the public.

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Available abstract

This document is based on previous documentation of the nationally standardized Forest Inventory and Analysis database (Hansen and others 1992;Woudenberg and Farrenkopf 1995; Miles and others 2001).Documentation of the structure of the Forest Inventory and Analysis database (FIADB) for Phase 2 data, as well as codes and definitions, is provided.Examples for producing population level estimates are also presented.This database provides a consistent framework for storing forest inventory data across all ownerships for the entire United States.These data are available to the public.

Key concepts: Database, Computer science, Information retrieval

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