Skip to Main Content
Predicting live and dead basal area in bark beetle-affected forests from discrete-return LiDARAuthor(s): Andrew T. Hudak; Ben Bright; Jose Negron; Robert McGaughey; Hans-Erik Andersen; Jeffrey A. Hicke
Source: In: SilviLaser 2012: First Return; 12th International Conference on LiDAR Applications for Assessing Forest Ecosystems; Sept. 16-19 September 2012; Vancouver, Canada. Paper Number: ###SL2012-139. Online: http://silvilaser2012.com/wp-content/uploads/2011/11/Silvilaser2012_Full_Proceedings.pdf
Publication Series: Paper (invited, offered, keynote)
Station: Rocky Mountain Research Station
PDF: Download Publication (140.17 KB)
DescriptionRecent bark beetle outbreaks in western North America have been widespread and severe. High tree mortality due to bark beetles affects the fundamental ecosystem processes of primary production and decomposition that largely determine carbon balance (Kurz et al. 2008, Pfeifer et al. 2011, Hicke et al. 2012). Forest managers need accurate data on beetle-induced tree mortality to make better decisions on how best to remediate beetle-affected forests and restore healthy ecosystem services (Negron et al. 2008). Discrete-return LiDAR measures canopy height and density, and LiDAR intensity provides some indication of the spectral reflectance and condition of canopy elements (foliage and branches) (Kim et al. 2009). LiDAR has been successfully applied to estimate biomass and carbon stocks in healthy forest (Hudak et al. 2012) and beetle-affected forest (Bright et al. 2012). A challenge in beetle-affected forests is that most airborne LiDAR has a single near infrared wavelength; i.e., LiDAR lacks the multispectral information useful for distinguishing between green, red, and grey trees. However, LiDAR intensity values may help distinguish between live green and dead red or grey trees. Moreover, mountain pine beetles (the most widespread bark beetle currently) and spruce beetles preferentially attack larger trees, so beetles impart a canopy structural signature that may be exploited (Coops et al. 2009).
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- 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.
CitationHudak, Andrew T.; Bright, Ben; Negron, Jose; McGaughey, Robert; Andersen, Hans-Erik; Hicke, Jeffrey A. 2012. Predicting live and dead basal area in bark beetle-affected forests from discrete-return LiDAR. In: SilviLaser 2012: First Return; 12th International Conference on LiDAR Applications for Assessing Forest Ecosystems; Sept. 16-19 September 2012; Vancouver, Canada. Paper Number: ###SL2012-139. Online: http://silvilaser2012.com/wp-content/uploads/2011/11/Silvilaser2012_Full_Proceedings.pdf
Keywordsbark beetle, LiDAR
- Association genetics of oleoresin flow in loblolly pine: discovering genes and predicting phenotype for improved resistance to bark beetles and bioenergy potential
- Tree physiology and bark beetles
- Woodpecker forage availability in habitat disturbances of the Black Hills
XML: View XML