Accurate, reliable inventory information is critical to forest management decision-making. Timber investment analysis, harvest revenue optimization, ecosystem modeling and management decisions rely heavily on inventory information. Traditional approaches to inventory involve statistical sampling, observation and measurement. These approaches are expensive, incur human-based error and usually produce spatially coarse estimates, such as by covertype or stand.
I research how to reduce the cost and time of obtaining inventory information while increasing its accuracy and precision. I am interested in developing automated processes that utilize remote-sensing and statistical survey along with probability models, spatial associations and classifications to produce integral data products. Such products can be further applied to construct or enahnce single tree and stand-based inventories or to be used in financial, resource and ecosystem modeling.
Auto-registration of aerial imagery to canopy height model.
High-accuacy fusion of aerial imagery and lidar point cloud data.
Bayesian object recognition from lidar data using texture and spectral partions.
Lean prediction from tree crown eccentricity.
Multivariate crown modeling of individual trees.
Individual tree growth and yield modeling.
Applications of stochastic frontier to individual tree parameterization.
Lidar sampling and analysis for estimating temporal carbon sequestion.
TCP/IP interface for clustered computing of lidar data.
No current instruction.
C#, C++, Java, VB, PHP, R/S+, SAS, SPSS, Matlab, HTML, CSS, AS, ArcObjects, MS DAO, MS ADO, MS XML, MS Office, Scripting
An ASPRS 2009 Abstract on Lidar Fusion
Breunig, Gasser, Holland. 2003. Wisconsin’s Forestry Best Management Practices for Water Quality: The 2002 Statewide BMP Monitoring Report. Wisconsin Department of Natural Resources, Madison, WI.
Holland. 2004. The 2003 BMP Monitoring Report, Wisconsin’s Forestry Best Management Practices for Water Quality. Wisconsin Department of Natural Resources, Madison, WI.
University of California, Berkeley
Environmental Science, Policy and Management
137 Mulford Hall
Mail Stop # 3114
Berkeley, CA 94720-3114
(202) 412-1043
