Education

• Oregon State University, Phd Forest Resources 2012
• Oregon State University, Msc Statistics 2012
• University of Washington, Msc Forest Resources 2008
• University of Washington, Bsc Forest Resources 2006

Publications

• Strunk, Jacob L.; Harrington, Constance A.; Brodie, Leslie C.; Prevéy, Janet S. 2020. Seeing the forest below the trees: occurrences of shrubs in the Pacific Northwest.
• Strunk, Jacob ; Packalen, Petteri ; Gould, Peter ; Gatziolis, Demetrios ; Maki, Caleb ; Andersen, Hans-Erik ; McGaughey, Robert J. 2019. Large area forest yield estimation with pushbroom Digital Aerial Photogrammetry.
• Packalen, Petteri ; Strunk, Jacob ; Packalen, Tuula ; Maltamo, Matti ; Mehtätalo, Lauri . 2019. Resolution dependence in an area-based approach to forest inventory with airborne laser scanning.
• Strunk, Jacob L.; Mills, John R.; Ries, Paul; Temesgen, Hailemariam; Jeroue, Lacey. 2016. An urban forest-inventory-and-analysis investigation in Oregon and Washington.
• Strunk, Jacob L.; Gould, Peter J. 2015. Forest inventory with LiDAR and stereo DSM on Washington department of natural resources lands.
• 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.
• 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.
• 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.
• 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.

Citations of non US Forest Service Publications

• Strunk, J. L., H. Temesgen, H.-E. Andersen, and P. Packalen. 2014. Prediction of forest attributes with field plots, Landsat, and a sample of lidar strips. Photogrammetric Engineering & Remote Sensing 80:143–150.
• Packalén, P., J. Vauhkonen, E. Kallio, J. Peuhkurinen, J. Pitkänen, I. Pippuri, J. Strunk, and M. Maltamo. Submitted. Predicting the spatial pattern of trees with airborne laser  scanning. International Journal of Remote Sensing.
• Flewelling, J. W., and J. L. Strunk. 2013. The walk through and fro estimator for edge bias avoidance. Forest Science 59:223–230.
• Strunk, J. L., P. J. Gould, P. Packalen, K. P. Poudel, H.-E. Andersen, and H. Temesgen. 2017. An Examination of Diameter Density Prediction with k-NN and Airborne Lidar. Forests 8:444.
• Packalen, P., J. L. Strunk, J. A. Pitkänen, H. Temesgen, and M. Maltamo. 2015. Edge-tree correction for predicting forest inventory attributes using area-based approach with airborne laser scanning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8:1274–1280.