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Title: Mapping forest inventory and analysis data attributes within the framework of double sampling for stratification design

Author: Chojnacky, David C.; Wynne, Randolph H.; Blinn, Christine E.;

Date: 2009

Source: In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the eighth annual forest inventory and analysis symposium; 2006 October 16-19; Monterey, CA. Gen. Tech. Report WO-79. Washington, DC: U.S. Department of Agriculture, Forest Service. 237-242.

Publication Series: General Technical Report (GTR)

   Note: This article is part of a larger document. View the larger document

Description: Methodology is lacking to easily map Forest Inventory and Analysis (FIA) inventory statistics for all attribute variables without having to develop separate models and methods for each variable. We developed a mapping method that can directly transfer tabular data to a map on which pixels can be added any way desired to estimate carbon (or any other variable) for a particular area. The method uses a remote-sensing layer coverage to stratify forest from nonforest, a standard double sampling analysis, and a definition of spatial variables for summarizing FIA data within the double sampling framework to link to maps. Further refinements are needed but the new method appears to be accurate, flexible, and straightforward.

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Citation:


Chojnacky, David C.; Wynne, Randolph H.; Blinn, Christine E. 2009. Mapping forest inventory and analysis data attributes within the framework of double sampling for stratification design. In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the eighth annual forest inventory and analysis symposium; 2006 October 16-19; Monterey, CA. Gen. Tech. Report WO-79. Washington, DC: U.S. Department of Agriculture, Forest Service. 237-242.

 


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