Research Forester/VMaRS Team Leader
161 E 1st Ave. Door #8
Contact Hans Andersen
My research consists of developing new techniques for using remote sensing and other geospatial technologies within large-scale, multiobjective resource inventory systems. The scale of the Alaskan landscape, and the remoteness and lack of access to most of the forest and related ecosystems, requires development and application of inventory and monitoring techniques that largely depend on remotely acquired information, which must be integrated with field-based information in innovative and complex statistical sampling designs. I investigate how emerging geospatial/remote sensing technologies and analytical techniques can best be applied to assess the extent, condition, use, and trends associated with Alaska's ecosystems and natural resources.
Why This Research is Important
This research is important because adequate technology has not been developed or applied to effectively, and comprehensively, inventory and monitor the forested ecosystems of Alaska. Therefore, critical baseline information on the extent, condition, trends, and uses of all Alaskan forests is not available to meet the needs for management and protection of these areas.
- University of Washington, Ph.D. Quantitative Resource Management (Forest Biometrics) 2003
- International Institute for Aerospace Survey and Earth Sciences (ITC), Professional Master Forest Survey 1998
- University of Washington, M.S. Forest Resources 1997
- Williams College, B.A. History 1994
Featured Publications & Products
- 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.
- Andersen, Hans-Erik; Clarkin, Tobey; Winterberger, Ken; Strunk, Jacob. 2009. An accuracy assessment of positions obtained using survey- and recreational-grade Global Positioning System receivers across a range of forest conditions within the Tanana Valley of interior Alaska.
- Pang, Yong; Lefsky, Michael; Andersen, Hans-Erik; Miller, Mary Ellen; Sherrill, Kirk. 2008. Validation of the ICEsat vegetation product using crown-area-weighted mean height derived using crown delineation with discrete return lidar data.
- Deo, Ram K.; Domke, Grant M.; Russell, Matthew B.; Woodall, Christopher W.; Andersen, Hans-Erik . 2018. Evaluating the influence of spatial resolution of Landsat predictors on the accuracy of biomass models for large-area estimation across the eastern USA.
- Pattison, Robert ; Andersen, Hans-Erik ; Gray, Andrew ; Schulz, Bethany ; Smith, Robert J.; Jovan, Sarah . 2018. Forests of the Tanana Valley State Forest and Tetlin National Wildlife Refuge, Alaska: results of the 2014 pilot inventory.
- Alonzo, Michael ; Andersen, Hans-Erik ; Morton, Douglas ; Cook, Bruce . 2018. Quantifying boreal forest structure and composition using UAV structure from motion.
- Manuri, Solichin; Andersen, Hans-Erik; McGaughey, Robert J.; Brack, Cris. 2017. Assessing the influence of return density on estimation of lidar-based aboveground biomass in tropical peat swamp forests of Kalimantan, Indonesia.
- Deo, Ram; Russell, Matthew; Domke, Grant; Andersen, Hans-Erik; Cohen, Warren; Woodall, Christopher. 2017. Evaluating Site-Specific and Generic Spatial Models of Aboveground Forest Biomass Based on Landsat Time-Series and LiDAR Strip Samples in the Eastern USA.
- Nelson, Ross; Margolis, Hank; Montesano, Paul; Sun, Guoqing; Cook, Bruce; Corp, Larry; Andersen, Hans-Erik; deJong, Ben; Pellat, Fernando Paz; Fickel, Thaddeus; Kauffman, Jobriath; Prisley, Stephen. 2017. Lidar-based estimates of aboveground biomass in the continental US and Mexico using ground, airborne, and satellite observations.
- Gregoire, Timothy G.; Næsset, Erik; McRoberts, Ronald E.; Ståhl, Göran; Andersen, Hans; Gobakken, Terje; Ene, Liviu; Nelson, Ross. 2016. Statistical rigor in LiDAR-assisted estimation of aboveground forest biomass.
- Babcock, Chad; Andersen, Hans; Finley, Andrew O.; Cook, Bruce D. 2015. A bayesian hierarchical model for spatio-temporal prediction and uncertainty assessment using repeat LiDAR acquisitions for the Kenai Peninsula, AK, USA.
- McLain, R.; Cerveny, L.; Montesano, Paul M.; Beaudoin, André; Sun, Guoqing; Andersen, Hans-Erik; Wulder, Michael A.; Rohdy, S. 2015. Mapping human environment connections on the Olympic Peninsula: an atlas of landscape values.
- Andersen, H.E.; Reutebuch, S.E.; McGaughey, R.J.; d'Oliveira, M.V.N.; Keller, M. 2014. Monitoring selective logging in western Amazonia with repeat lidar flights.
- Andersen, Hans-Erik; Pattison, Robert. 2012. Characterizing environmental change in interior Alaska (1982-2012) using multi-temporal, multi-scale remote sensing data and field measurements.
- Strunk, Jacob; Temesgen, Hailemariam; Andersen, Hans-Erik; Flewelling, James P.; Madsen, Lisa. 2012. Effects of lidar pulse density and sample size on a model-assisted approach to estimate forest inventory variables.
- 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.
- Andersen, Hans-Erik; Strunk, Jacob; Temesgen, Hailemariam. 2011. Using airborne lidar as a sampling tool for estimating forest biomass resources in the upper Tanana Valley of interior Alaska.
- Andersen, Hans-Erik; Strunk, Jacob; Temesgen, Hailemariam. 2011. Using airborne light detection and ranging as a sampling tool for estimating forest biomass resources in the upper Tanana Valley of interior Alaska.
- Reutebuch, S.E.; McGaughey, R.J.; Andersen, H.-E.; Carson, W.W. 2003. Accuracy of a high-resolution lidar terrain model under a conifer forest canopy.