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
 

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

View PDF (188.0 KB bytes)

Title: Forest inventory with LiDAR and stereo DSM on Washington department of natural resources lands

Author: Strunk, Jacob L.; Gould, Peter J.;

Date: 2015

Source: In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. p. 253.

Publication Series: General Technical Report (GTR)

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

Description: DNR’s forest inventory group has completed its first version of a new remote-sensing based forest inventory system covering 1.4 million acres of DNR forest lands. We use a combination of field plots, lidar, NAIP, and a NAIP-derived canopy surface DSM. Given that height drives many key inventory variables (e.g. height, volume, biomass, carbon), remote-sensing derived height information provides a powerful tool to make fine scale inference about height related forest attributes. Predictions can also be aggregated to sub-stand, stand, or strata levels. Remote-sensing derived forest attributes can also be used to automate stand delineation, a capability that we incorporated into our inventory system following object-oriented segmentation with eCognition software.

Our sampling design is closely related to the FIA plot design (paneled hexagonal grid), with slight modifications to the plot and grid layouts to accommodate remote sensing auxiliary variables, and to provide greater flexibility in adapting to changes in funding for field measurements. Modifications include (e.g.) using 1/5 acre fixed plots, survey-grade plot positioning with Javad GNNS units, and providing extra panels in each hex grid cell.

Our presentation will provide greater detail about our new inventory system, while describing key technical hurdles we overcame in moving a technology out of a (mostly) research mode and into an operational framework. Examples include merging a patchwork of remote sensing data, processing and managing tens of terabytes of point clouds, and distributing final products to our users. We also discuss hurdles that we have not yet overcome in an effort to motivate discussions which will benefit us and others who work to operationalize remote-sensing based methods.

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.
  • You may send email to pnw_pnwpubs@fs.fed.us to request a hard copy of this publication. (Please specify exactly which publication you are requesting and your mailing address.)

XML: View XML

Citation:


Strunk, Jacob L.; Gould, Peter J. 2015. Forest inventory with LiDAR and stereo DSM on Washington department of natural resources lands. In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. p. 253.

 


 [ 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.