Jacob L. Strunk, PhD
Research Statistician
0000-0002-5114-4843jacob.strunk@usda.gov
Treesearch Publications
- Bryce Frank, Jacob L. Strunk, Jeremy S. Fried, Karin Wolken, Sean C. McKenzie. 2025. Comparison of digital aerial photogrammetry, lidar, and Sentinel-2 for evaluating forest fire effects
- Jacob L. Strunk, Diogo N. Cosenza, Francisco Mauro, Hans Andersen, Sytze de Bruin, Timothy Bryant, Petteri Packalen. 2025. Mitigation of spatial effects on an area-based lidar forest inventory (2024)
- Jacob L. Strunk, Stephen E. Reutebuch, Robert McGaughey, Hans Andersen. 2025. An examination of GNSS positioning under dense conifer forest canopy in the Pacific Northwest, USA
- Diogo Cosenza, Svetlana Saarela, Jacob L. Strunk, Lauri Korhonen, Matti Maltamo, Petteri Packalen. 2024. Effects of model-overfit on model-assisted forest inventory in boreal forests with remote sensing data
- Jacob L. Strunk, Robert McGaughey. 2023. Stand validation of lidar forest inventory modeling for a managed southern pine forest
- Petteri Packalen, Jacob L. Strunk, Matti Maltamo, Mari Myllymäki. 2023. Circular or square plots in ALS-based forest inventories—does it matter?
- Sean MP. Cahoon, Kathryn C. Baer, Kate Legner, Loretta Winton, Garret Dubois, Will Putman, Patrick Sullivan, Kate C. Marcille, Hans Andersen, Jacob L. Strunk, Richard Smith, John M. Chase, Glenn Christensen, Jane Terzibashian, Andrew Gray. 2022. Forest resources of the Tanana unit, Alaska: 2018
- Jacob L. Strunk, David M. Bell, Matthew J. Gregory. 2022. Pushbroom photogrammetric heights enhance state-level forest attribute mapping with Landsat and environmental gradients
- Arjan J. H. Meddens, Michelle Steen-Adams, Andrew T. Hudak, Francisco Mauro, Paige M. Byassee, Jacob L. Strunk. 2022. Specifying geospatial data product characteristics for forest and fuel management applications
- Hans Andersen, Jacob L. Strunk, Robert McGaughey. 2022. Using high-performance global navigation satellite system technology to improve Forest Inventory and Analysis plot coordinates in the Pacific region
- Eetu Kotivuori, Matti Maltamo, Lauri Korhonen, Jacob L. Strunk, Petteri Packalen. 2021. Prediction error aggregation behaviour for remote sensing augmented forest inventory approaches
- Diogo Cosenza, Lauri Korhonen, Matti Maltamo, Petteri Packalen, Jacob L. Strunk, Erik Næsset, Terje Gobakken, Paula Soares, Margarida Tomé. 2020. Comparison of linear regression, k-nearest neighbour and random forest methods in airborne laser-scanning-based prediction of growing stock
- Jacob L. Strunk, Peter Gould, Petteri Packalen, Demetrios Gatziolis, Danuta Greblowska, Caleb Maki, Robert McGaughey. 2020. Evaluation of pushbroom DAP relative to frame camera DAP and lidar for forest modeling
- Jacob L. Strunk, Connie Harrington, Leslie C. Brodie, Janet S. Prevéy. 2020. Seeing the forest below the trees: occurrences of shrubs in the Pacific Northwest
- Jacob L. Strunk, Petteri Packalen, Peter Gould, Demetrios Gatziolis, Caleb Maki, Hans Andersen, Robert McGaughey. 2019. Large area forest yield estimation with pushbroom Digital Aerial Photogrammetry
- Petteri Packalen, Jacob L. Strunk, Tuula Packalen, Matti Maltamo, Lauri Mehtätalo. 2019. Resolution dependence in an area-based approach to forest inventory with airborne laser scanning
- Jacob L. Strunk, John Mills, Paul Ries, Hailemariam Temesgen, Lacey Jeroue. 2016. An urban forest-inventory-and-analysis investigation in Oregon and Washington
- Jacob L. Strunk, Peter Gould. 2015. Forest inventory with LiDAR and stereo DSM on Washington department of natural resources lands
- Jacob L. Strunk, Hailemariam Temesgen, Hans Andersen, James P. Flewelling, Lisa Madsen. 2012. Effects of lidar pulse density and sample size on a model-assisted approach to estimate forest inventory variables
- Jacob L. Strunk, Stephen E. Reutebuch, Hans Andersen, Peter Gould, Robert McGaughey. 2012. Model-assisted forest yield estimation with light detection and ranging
- Hans Andersen, Jacob L. Strunk, Hailemariam Temesgen. 2011. Using airborne lidar as a sampling tool for estimating forest biomass resources in the upper Tanana Valley of interior Alaska
- Hans Andersen, Jacob L. Strunk, Hailemariam Temesgen. 2011. Using airborne light detection and ranging as a sampling tool for estimating forest biomass resources in the upper Tanana Valley of interior Alaska
- Hans Andersen, Tobey Clarkin, Ken Winterberger, Jacob L. Strunk. 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-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. 2013. Predicting the spatial pattern of trees with airborne laser scanning. International Journal of Remote Sensing 14:5154-5165.
- 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.
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Center or Group
https://research.fs.usda.gov/pnw/centers/fmaresearch -
Program
https://research.fs.usda.gov/pnw/programs/fma
- 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
Last updated March 10, 2026