My current research focuses on methods and tools to analyze LIDAR (light detection and ranging) data to describe vegetation structure and spatial distribution. My primary focus is using LIDAR data to augment or replace conventional forest inventory practices. My research efforts feature strong development and technology transfer components that provide methods and tools for other scientists and natural resource specialists to use on their own analyses. My work has been proven on projects ranging from several hundred to several hundred thousand hectares in size and in a variety of forest conditions.
Remote-sensing data, improved data collection methods, global positioning system hardware and protocols, measurement tools, and semi-automated measurement of individual tree characteristics.
My past research interests include digital terrain modeling, visual simulation of forest characteristics at stand- and landscape-scales, and planning and analysis of forest operations. I also am the developer of the Preliminary Logging Analysis System (PLANS), Stand Visualization System (SVS), EnVision (landscape visualization), and FUSION/LDV (LIDAR data analysis and visualization) software systems.
Why This Research is Important
The questions being asked of forest managers are becoming more complex, thus managers require more extensive descriptions of resource characteristics to do their jobs. New remote sensing tools can provide information describing large land areas and capture more detailed characteristics for small, spatially explicit sites. The potential applications for such information range from land allocation planning (forest plans) to resource monitoring. In addition to forestry applications, these technologies are being used by state and local governments to produce detailed topographic models for use in surface water managment and flood risk assessment. In many cases, remotely sensed data are being collected over forested areas for reasons not related to forest management. It is important for forestry professionals to be aware of such data acquisitions and have the knowledge to help specify the kinds of data that can be useful for their needs to ensure that remotely sensed data meets the needs of all interested parties.
- Purdue University, MSF Forest Products and Harvesting, 1983
- Purdue University, BSF Forest Products and Harvesting, 1981
- Research Forester, USDA Forest Service, Pacific Northwest Research Station
1991 - Current
I worked to develop stand- and landscape-scale visualization systems for use by foresters, landscape architects, and silviculturists. I started working on LIDAR data processing and analysis in 2000 and released the FUSION/LDV LIDAR visualization and processing package in 2006. I continue to work on enhancing the capabilites in FUSION and improve workflows to process LIDAR data for large acquisitions.
- Forester/Research Forester, USDA Forest Service, Pacific Northwest Research Station
1984 - 1991
I worked to develop computer methods to assist with planning and analyzing logging operations. Early work was done on HP minicomputers with attached graphics terminals, digitizing tablets, and plotters. The Preliminary Logging Analysis System (PLANS) was released for this eraly platform in 1987. I developed a PC version of the package (released in 1992).
Featured Publications & Products
- Kane, Van R.; Bakker, Jonathan D.; McGaughey, Robert J.; Lutz, James A.; Gersonde, Rolf F.; Franklin, Jerry F. 2010. Examining conifer canopy structural complexity across forest ages and elevations with LiDAR data.
- Kane, Van R.; McGaughey, Robert J.; Bakker, Jonathan D.; Gersonde, Rolf F.; Lutz, James A.; Franklin, Jerry F. 2010. Comparisons between field- and LiDAR-based measures of stand structrual complexity.
- Kim, Sooyoung; McGaughey, Robert J.; Andersen, Hans-Erik; Schreuder, Gerard. 2009. Tree species differentiation using intensity data derived from leaf-on and leaf-off airborne laser scanner data.
- Sullivan, Alicia A.; McGaughey, Robert J.; Andersen, Hans-Erik; Schiess, Peter. 2009. Object-oriented classification of forest structure from light detection and ranging data for stand mapping.
Publications & Products
- Garabedian, James E.; McGaughey, Robert J.; Reutebuch, Stephen E.; Parresol, Bernard R.; Kilgo, John C.; Moorman, Christopher E.; Peterson, M. Nils. 2014. Quantitative analysis of woodpecker habitat using high-resolution airborne LiDAR estimates of forest structure and composition.
- Bright, Benjamin C.; Hudak, Andrew T.; McGaughey, Robert; Andersen, Hans-Erik; Negron, Jose. 2013. Predicting live and dead tree basal area of bark beetle affected forests from discrete-return lidar.
- d'Oliveira, Marcus V.N.; Reutebuch, Stephen E.; McGaughey, Robert J.; Andersen, Hans-Erik. 2012. Estimating forest biomass and identifying low-intensity logging areas using airborne scanning lidar in Antimary State Forest, Acre State, Western Brazilian Amazon.
- Strunk, Jacob L.; Reutebuch, Stephen E.; Andersen, Hans-Erik; Gould, Peter J.; McGaughey, Robert J. 2012. Model-assisted forest yield estimation with light detection and ranging.
- Hudak, 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.
- Beets, Peter N.; Reutebuch, Stephen; Kimberley, Mark O.; Oliver, Graeme R.; Pearce, Stephen H.; McGaughey, Robert J. 2011. Leaf area index, biomass carbon and growth rate of radiata pine genetic types and relationships with LiDAR.
- Reutebuch, Steve; McGaughey, Robert; Andersen, Hans; Carson, Ward. 2003. Accuracy of a high-resolution lidar terrain model under a conifer forest canopy.
|Mapping Hardwood and Softwood Vegetation Types with LiDAR|
Study informs forest management activities and assesses woodpecker habitat