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
 

GeoTreesearch


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

(1.7 MB)

Title: Improving Forest Inventory and Analysis efficiency with common land unit information

Author: Liknes, Greg C.; Nelson, Mark D.

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. 363-366.

Publication Series: General Technical Report (GTR)

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

Description: The Forest Service, U.S. Department of Agriculture's (USDA's) Northern Research Station Forest Inventory and Analysis program (NRS-FIA) examines inventory locations on digital aerial imagery to determine if the land use at each plot location meets the FIA definition of forest and thereby becomes a field visit site. This manual image-interpretation effort requires a significant amount of staff time yet accrues substantial financial savings. Using the same imagery currently used by NRS-FIA, the Service Center Agencies of the USDA have initiated work on a digital data set detailing agricultural areas, including a land class designation. These data are known as Common Land Units (CLUs). In this study, CLU data for the State of Minnesota were acquired from USDA?s Farm Service Agency. NRS-FIA manual image-interpretation information for inventory locations was compared with the land class information in the CLU data set. Thirty-five percent of Minnesota FIA plots were identified as nonforest using the CLU data set. A little less than 1 percent of plots fell within nonforest CLU polygons yet were observed during field visits to be forested. Thus, the CLU method for identifying nonforest plots may introduce a small underestimation bias into the inventory. Because NRS-FIA plots previously observed as forested will be revisited regardless of an updated land use status, however, this bias would not occur. Thus, the CLU data set shows the potential to eliminate manual, prefield image interpretation of plots occurring within agricultural areas delineated by CLU boundaries.

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.
  • 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, shobrla@fs.fed.us if you notice any errors which make this publication unusable.

XML: View XML

Citation:


Liknes, Greg C.; Nelson, Mark D. 2009. Improving Forest Inventory and Analysis efficiency with common land unit information. 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. 363-366.

 


 [ 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.