College of Forestry

Forest Measurements and Biometrics Lab

Publications

                             In Press                            
 

Nietupski, T.C., R.E. Kennedy, H. Temesgen, B. K. Kerns. In press. Spatiotemporal Image Fusion in Google Earth Engine for Annual Estimates of Land Surface Phenology in a Heterogenous Landscape. Remote Sensing.

 

                                 2020                                      
 

Mauro, F., A.T. Hudak, P.A. Fekety, B. Frank, H. Temesgen, D.M. Bell, M.J. Gregory, and R. McCarley. 2020. Regional modeling of forest fuels and structural attributes using airborne laser scanning data in Oregon. Remote Sensing

Huy, B., L.C. Nam, K.P. Poudel, and H. Temesgen. 2020. Individual tree diameter growth modeling system for Dalat pine (Pinus dalatensis Ferré) of the upland mixed tropical forests. Forest Ecology and Management. 480:118612.

Frank, B., F. Mauro, and H. Temesgen. 2020. Model-based estimation of forest inventory attributes using lidar: a comparison of the area-based and semi-individual tree crown approaches. Remote Sensing. 2(16), 2525.

 

                            2019                              
 

Frank, B., F. Mauro, H. Temesgen, and K.R. Ford. 2019. Analysis of Classification Methods for Identifying Stands for Commercial Thinning Using LiDAR. Canadian Journal of Remote Sensing, Vol. 45(5), 673-690

Mauro, F., M. Ritchie, B. Wing, B. Frank, V.J. Monleon, H. Temesgen, and A. Hudak. 2019. Estimation of changes of forest structural attributes at three different spatial aggregation levels in Northern California using multi-temporal LiDAR. Remote Sensing. 11 (8), 923

Huy, B., K.P. Poudel, and H. Temesgen. 2019. Individual plant allometric equations for estimating above-ground biomass and its components for a common bamboo species (Bambusa procera A. Chev. & A. Camus) in tropical forests. Forests. 10, 316.

Huy, B., G. T. Thanh, K.P. Poudel, B.M. Frank, and H. Temesgen. 2019. Taxon- specific modeling systems for improving reliability of tree aboveground biomass and its components estimates in tropical dry dipterocarp forests. Forest Ecology and Management. 437: 156-174.

Mauro, F., B. Frank, V. J. Monleon, H. Temesgen, and Kevin R. Ford. 2019. Prediction of diameter distributions and tree-lists in southwestern Oregon using LiDAR and stand-level auxiliary information. Canadian Journal of Forest Research. 49: 775-787.

                                 2018                                 

Poudel, K.P., Temesgen, H., P.J. Radtke, and A. Gray. 2019. Estimating Individual Tree Aboveground Biomass of Tree Species in the Western U.S.A. Canadian Journal of Forest Research. 49: 701-714.

Huff, S., K.P. Poudel, M. Ritchie, and H. Temesgen. 2018. Quantifying Aboveground Biomass for Common Shrubs in Northeastern California Using Nonlinear Mixed Effect Models. Forest Ecology and Management (pdf).

Poudel, K.P., Temesgen, H., and A. Gray. 2018. Estimating upper stem diameters and volume of Douglas-fir and western hemlock trees in the Pacific Northwest. Forest Ecosystem. (pdf)

Poudel K.P., J. Flewelling, and Temesgen, H. 2018. Predicting Volume and Biomass Change from Multi-Temporal Lidar Sampling and Re-measured Field Inventory Data in Panther Creek Watershed, Oregon, USA. Forests. 9, 28; doi:10.3390/f9010028 (pdf)

                                2017                                

Mauro, F., V.J. Monleon, and H. Temesgen. 2017. Area level modeling vs Unit level modeling for forest inventories assisted with LiDAR auxiliary information. PLoS ONE 12(12): e0189401. (pdf)

Strunk, J. L; S. E Reutebuch; Peter J Gould; Petteri Packalen; Krishna Poudel; Hans-Erik Andersen; H. Temesgen. 2017. An examination of diameter density prediction with kNN and LiDAR. Forests. 8, 44; doi:10.3390/f8110444 (pdf)

Mauro, F., V.J. Monleon, H. Temesgen, and L.A. Ruiz. 2017.  Analysis of the spatial correlation in linear models to predict forest variables from LiDAR auxiliary information. Canadian Journal of Forest Research. (pdf)

Huff, S., M. Ritchie, and H. Temesgen. 2017. Allometric equations for estimating aboveground biomass for common shrubs in northeastern California. Forest Ecology and Management. 398: 48-63. (pdf)

Kiser, J., D. Dixie, and H. Temesgen. 2017. Growth response of coastal Douglas-fir (Pseudotsuga menziesii [Mirbel] Franco) in western Oregon following mechanical commercial thinning damage. Mathematical and Computational Forestry & Natural-Resource Science. 9(1):22-29. (pdf)

Kralicek, K., Bao Huy, K. P. Poudel, C. Salas, and H. Temesgen. 2017. Simultaneous estimation of above- and below-ground biomass in a tropical forest of Viet Nam. Forest Ecology and Management. 390: 147 – 156. (pdf)

Mauro, F., Z. Haxtema, and H. Temesgen. 2017. Comparison of sampling methods for estimation of nearest-neighbor index values. Canadian Journal of Forest Research. 47 (6): 703-715. (pdf)

 

                              2016                                   

Shin, J., H. Temesgen, J. Strunk, and T. Hilker. 2016. Comparing modeling methods for predicting forest attributes using LiDAR metrics and ground measurements. Canadian Journal of Remote Sensing. 42(6): 739-765. 

Huy, B., K. Kralicek, K.P.  Poudel, Vu T.  Phương, V. K. Phung, D. H. Nguyen, and H. Temesgen. 2016. Allometric Equations for Estimating Tree Aboveground Biomass in Evergreen Broadleaf Forests of Viet Nam. Forest Ecology and Management. 382: 193-205. (pdf)

Huy, B., K. P. Poudel, K. Kralicek, N.  Hung, P.  Khoa, Vu T.  Phương, and H. Temesgen. 2016. Allometric Equations for Estimating Tree Aboveground Biomass in Tropical Dipterocarp Forests of Southeast Asia. Forests. 7(8), 180. (pdf)

Huy, B., K.P Poudel, and H.Temesgen. 2016. Aboveground Biomass Equations for Evergreen Broadleaf Forests in South Central Coastal Ecoregion of Viet Nam: Selection of Eco-regional or Pantropical Models. Forest Ecology and Management. 376: 276-283. (pdf)

Strunk, J., L. Jeroue, J. Mills, and H. Temesgen. 2016. An Urban Forest-Inventory-and-Analysis Investigation in Oregon and Washington. Urban Forestry & Urban Greening. 18: 100-109. (pdf)

Poudel, K.P. and H. Temesgen. 2016. Calibration of volume and component biomass equations for Douglas-fir and lodgepole pine trees in Western Oregon forests. Forestry Chronicle. 92(2): 172-182. (pdf)

Poudel, K.P. and H. Temesgen. 2016. Developing Biomass Equations for Western Hemlock and Red Alder Trees in Western Oregon Forests. (4): 88. Forests. (pdf)

Poudel, K.P. and H. Temesgen. 2016. Methods for Estimating Aboveground Biomass and its Components for Douglas-fir and lodgepole pine trees. Canadian Journal of Forest Research. 46: 77-87. (pdf)

                                          

                              2015                              

Temesgen, H., J. Strunk, H.E. Andersen, and J. Flewelling. (2015). Evaluating different models to predict biomass increment from multi-temporal lidar sampling and remeasured field inventory data in south-central Alaska. Mathematical and Computational Forestry & Natural-Resource Sciences, 7(2): 66-80. (Abstract)

Shettles, M., H. Temesgen, A.N. Gray, and T. Hilker. (2015). Comparison of uncertainty in per unit area estimates of aboveground biomass for two selected model sets. Forest Ecology and Management, 354: 18-25. (pdf)

Packalen, P., J. Strunk, J. Pitkänen, H. Temesgen, and M. Maltamo. (2015). Edge-tree correction for area based method of airborne lidar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(3): 1274-1280. (pdf)  

Weiskittel, A., D.A. MaCFarlen, P.J. Radtke,  D.L. Affleck, H. Temesgen, C.W. Woodall, J.A. Westfall, and J.W. Coulston. (2015). A call to improve methods for estimating tree biomass for regional and national assessments. Journal of Forestry, 113(4): 414-424. (pdf)

Temesgen, H., D. Affleck, K.P. Poudel, A. Gray, and J. Sessions. (2015). A review of the challenges and opportunities in estimating above ground forest biomass using tree-level models. Scandinavian Journal of Forest Research, 30 (4): 326-335. (pdf)

Poudel, K.P., H. Temesgen, and A.N. Gray. (2015). Evaluation of Sampling Strategies to Estimate Crown Biomass of Conifers. Forest Ecosystems, 2:1(pdf)

 

                              2014                             

Temesgen, H. and Ver Hoef, J. 2014. Evaluation of the Spatial Linear Model, Random Forest, and Gradient Nearest Neighbor Methods for Imputing Potential Productivity and Biomass of the Pacific Northwest Forests. Forestry: An International Journal of Forest Research. 6: 1-12. (pdf)

Burkhart, H. and H. Temesgen. 2014. Overview of Forest Observational Studies around the world.  Forest Ecology and Management. 316: 1-2 (pdf)

Gagliasso, D., S. Hummel, and H. Temesgen. 2014. A comparison of selected parametric and non-paramentric imputation methods for estimating forest biomass and basal area. Open Journal of Forestry (OJF) (pdf)

Strunk, J., H. Temesgen, H.E. Andersen, and Pakalen, P. Prediction of forest attributes with Landsat and a sample of lidar strips; A case study on the Kenai Peninsula, Alaska. Photogrammetric Engineering and Remote Sensing. (pdf)

Temesgen, H., C. Zhang, and X. Zhao. 2014. Modelling spatial variation in tree height-diameter  relationships of multi-species and multi-layered forests. Forest Ecology and Management. 316: 78-89 (pdf)

Zhao X.H., J.J. Rivas, C.Y. Zhang, H. Temesgen, and K. v. Gadow. Forest Observational Studies - an Essential Infrastructure for Sustainable Use of Natural Resources. Forest Ecosystems. (pdf)


 

                             2013                               

Goerndt, M.E., V.J. Monleon, and H. Temesgen. 2013.  Small area estimation of county-level forest attributes using ground data and remote sensed auxiliary information.  Forest Science. 59:536-548 (pdf)

Ver Hoef J. and H. Temesgen. 2013. A comparison of the spatial linear model to nearest neighbor (k-NN) methods for forestry applications. PLOS ONE. (3):1-11. (pdf)

Eskelson, B.N.I., P. D. Anderson, and H. Temesgen. 2013.  Monitoring of relative humidity in headwater forests using correlation with air temperature. Northwest Science. 87(1): 40-58. (pdf)

 

                             2012                             

Strunk, J., H. Temesgen, H.E. Andersen, J. Flewelling, and L. Madsen. 2012. Effects of LIDAR Pulse Density and Sample Size on the Precision of Selected Forest Inventory Attributes. Canadian Journal of Remote Sensing. 38(5):644-654 (pdf)

Packalen, P., Temesgen, H., and Maltamo, M. 2012. Variable Selection Strategies for Nearest Neighbor Imputation in Remote Sensing Based Forest Inventory. Canadian Journal of Remote Sensing. 38(5): 557-569. (pdf)

Haxtema, Z., H. Temesgen, and Marquardt T. 2012  Evaluation of n-tree distance sampling for inventory of headwater riparian forests of western Oregon. Western Journal of Applied Forestry. 27:109-117. (pdf)

Groom, J.D., Hann, D.W., and Temesgen, H. 2012. Evaluation of mixed-effects models for predicting Douglas-fir mortality. Forest Ecology and Management. 276: 139-145. (pdf)
 
Eskelson, B.N.I., Hagar, J.C., and H. Temesgen. 2012. Estimation of snag density and snag quality attributes in western Washington and Oregon. Forest Ecology and Management. 272: 26–34. (pdf)
 
Marquardt, T., H. Temesgen, B.N.I. Eskelson, and P. Anderson. 2012. Evaluation of sampling methods to quantify abundance of hardwoods and snags within conifer dominated riparian zones.  Annals of Forest Science. (pdf)
 
Barrett, T.M., G. Latta, P. E. Hennon, B. N.I. Eskelson, and H. Temesgen. 2012. Modeling host-parasite distributions under changing climate Tsuga heterophylla and Arceuthobium tsugense in Alaska. Canadian Journal of Forest research. 42: 642-656. (pdf)

 

                               2011                              

Andersen, H. E., J. Strunk, and H. Temesgen. 2011. Using multi-level remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in boreal forests of interior Alaska. Canadian Journal of Remote Sensing. 37: 596-611. (pdf)

Andersen, H. E., J. Strunk, and H. Temesgen. 2011. Using airborne lidar as a sampling tool for estimating forest biomass resources in the upper Tanana Valley of interior Alaska. Western Journal of Applied Forestry. 26: 157-164. (pdf)

Temesgen, H., B.N.I Eskelson, T. Maness, D. Adams, and H. Burkhart. 2011. Teaching in Contemporary Forestry Resources Curricula: Applications to the Teaching of Forest measurements. Journal of Forestry. 109(7):371-377. (Abstract)

Eskelson, B.N.I., P. D. Anderson, J. Hagar, and H. Temesgen. 2011. Geostatistical modeling of riparian forest microclimate and its implications for sampling. Canadian Journal of Forest Research. 41:974-985. (pdf)

Eskelson, B.N.I., L. Madsen, J. Hagar, and H. Temesgen.  Estimating riparian understory vegetation cover with beta regression and copula models. Forest Science.  57: 212-221. (pdf)

Goerndt, M. E., V. J. Monleon, and H. Temesgen. 2011. A comparison of small-area estimation techniques to estimate selected stand attributes using LiDAR-derived auxiliary variables. Canadian Journal of Forest Research. 41: 1189-1201. (pdf)

Temesgen, H., V.J. Monleon, A. R. Weiskittel, and D.S. Wilson. 2011. Sampling strategies for efficient estimation of tree foliage biomass.  Forest Science. 57: 153-163. (pdf)

 

                                 2010                                  

Goerndt, M.E., V.J. Monleon, and H. Temesgen. 2010.  Relating forest attributes with area- and tree-based LiDAR metrics for western Oregon. Western Journal of Applied Forestry. 25: 105-111. (pdf)

Marquardt, T, H. Temesgen and P. Anderson. 2010. Accuracy and suitability of selected sampling methods within conifer dominated riparian zones. Forest Ecology and Management. 260: 313-320. (pdf)

Latta, G., H. Temesgen, D.A. Adams, and T. Barrett. 2010. Analysis of potential impacts of climate change on forests of the United States Pacific Northwest. Forest Ecology and Management. 259: 720-729. (pdf)

 

                                 2009                                 

Eskelson, B.N.I., T.M. Barrett, and H. Temesgen. 2009. Imputing Mean Annual Change and Estimating Current Forest Attributes. Silva Fennica. 43:649-658. (pdf)

Eskelson, B.N.I, H. Temesgen, and T. Barrett. 2009. Estimating cavity tree and snag abundance using negative binomial regression models and nearest neighbor imputation methods. Canadian Journal of Forest Research. 39: 1749-1765. (pdf)

Latta, G., Temesgen, H., and T. Barrett. 2009. Mapping and imputing potential productivity of Pacific Northwest Forests using climate variables. Can. J. For. Res. 39: 1197-1207. (pdf)  

Eskelson, B.N.I, H. Temesgen, V. LeMay, T. Barrett,  A. Hudak, and N. Crookston. 2009. The roles of nearest neighbor methods in imputing missing data in forest inventory and monitoring databases. Scand. J. For. Res. 24:193-205. (pdf)

Garber, S.M., Temesgen, H., V.J. Monleon, and D.W. Hann. 2009.  Effects of height imputation strategies on stand volume estimation. Can. J. For. Res. 39: 694-703. (pdf)

Eskelson, B.N.I, H. Temesgen, and T. Barrett.  2009. Estimating current forest attributes from paneled inventory data using plot-level imputation: a study from the Pacific Northwest. For. Sci. 55 (1): 64-71. (pdf)

Weiskittel, A. R., P.J. Gould, and H. Temesgen. 2009. Sources of variation in the self-thinning boundary line for three ecologically-distinct species. For. Sci. 55 (1): 84-93. (pdf)

 

                                  2008                                

Temesgen, H., T. Barrett, and G. Latta. 2008. Estimating Cavity Tree Abundance Using Nearest Neighbor Imputation Methods for western Oregon and Washington Forests.  Silva Fennica. 42(3): 337-354. (pdf)

Eskelson, B.N.I, H. Temesgen, and T.M. Barrett.  2008. Comparison of Stratified and Non-stratified Most Similar Neighbour Approaches for Estimating Stand Tables. Forestry: Int. J. For. Res. 81: 125-134. (pdf)

Temesgen, H., V.J. Monleon, and D.W. Hann.  2008. Analysis of nonlinear tree height prediction strategies for Douglas-fir forests. Can. J. For. Res. 38: 553-565. (pdf)

Younger, N., H. Temesgen, and S. Garber. 2008. Taper and volume responses to sulfur treatment in coastal Oregon Douglas fir stands. West. J. Appl. For.  23(3): 142-148. (Abstract)

Weiskittel, A.R, H. Temesgen, D.S. Wilson, and D. A. Maguire.  2008. Sources of within- and between-stand variability in specific leaf area of three ecologically distinct conifer species.  Annals of Forest Sciences 65, 103-113.  (pdf)

 

                                2007                                

Temesgen, H., M.E. Goerndt, G. P. Johnson, D.M. Adams, and R.A. Monserud. 2007. Forest measurement and biometrics in forest management: status and future needs of the Pacific Northwest USA. Journal of Forestry. 105: 233-238. (pdf)

Temesgen, H., D.W. Hann, and V.J. Monleon. 2007. Regional height-diameter equations for major tree species of southwest Oregon. West. J. Appl. For.  22(3): 213-219. (pdf)

 

                                      2006                                     

Temesgen, H, P.J. Martin, D.A. Maguire, J.C. Tappeiner. 2006. Quantifying effects of different levels of dispersed canopy tree retention on stocking and yield of the regeneration cohort. For. Ecol. & Manage.  235: 44-53. (Abstract)

Temesgen, H. and A.R. Weiskittel. 2006. Leaf mass per area relationships across light gradients in hybrid spruce crowns. Trees: Structure & Function. 20: 522-530. (Abstract)  

 

                                  2005                                 

Temesgen, H. and S.J. Mitchell. 2005.  An individual tree mortality model for South-eastern British Columbia.  West. J. Appl. For.  20(2): 101-109. (Abstract)

LeMay, V. and H. Temesgen. 2005. Connecting inventory information sources for landscape level analyses.   J. Forest Biometry, Modeling and Information Sciences. 1: 37-49. (pdf)

LeMay, V.  and Temesgen, H.  2005.  Comparison of nearest neighbor methods for estimating basal area and stems per ha using aerial auxiliary variables.  For. Sci. 51 (2): 109-119. (Abstract)

Temesgen, H., V.M. LeMay, and S. J. Mitchell. 2005. Tree crown ratio models for multi-species and multi-layered stands.  For. Chron. 81(1): 133-141. (pdf)

 

                                   2004                                  

Boisvenue, C., H. Temesgen, and P.L. Marshall. 2004. Selecting a small tree height growth model for mixed-species stands in the Southern Interior of British Columbia, Canada. For. Ecol. & Manage. 177: 301-312. (Abstract)

Temesgen, H. and K. v. Gadow. 2004. Generalized height-diameter models for major tree species in complex stands of interior British Columbia, Canada. Europ. J. For. Res. 123(1): 45-51. (Abstract)

Hassani, B., T., P.L. Marshall, V.M. LeMay, Temesgen, H., and Zumrawi. 2004. Regeneration imputation models for complex stands of southeastern British Columbia. For. Chron. 80(2): 271-278. (pdf)

 

                                 2003                                

Temesgen, H., V. LeMay, and I.R. Cameron. 2003. Bivariate distribution functions for predicting twig leaf area within hybrid spruce crowns. Can. J. For. Res. 33: 2044-2051. (Abstract)

Temesgen, H. 2003. Estimating tree-lists from aerial information: a comparison of a parametric and most similar neighbor approaches. Scand. J. For. Res. 18:279-288. (unavailable temporarily)

Temesgen, H. 2003. Evaluation of sampling alternatives to quantify tree leaf area. Can. J. For. Res. 33: 82-95. (Abstract)

Temesgen, H., V.M. LeMay, P.L. Marshall, and K. Froese. 2003. Imputing tree-lists from aerial attributes for complex stands of British Columbia. For. Ecol. & Manage. 177: 277-285. (Abstract)

Rowan, C.A., S.J. Mitchell and H. Temesgen. 2003. Effectiveness of wind firming treatments in Coastal British Columbia. Forestry. 76: 55-65. (Abstract)

 

                                pre 2003                              

Mitchell, S.J., H. Temesgen and Y.P. Kulis. 2001. Empirical modelling of cutblock edge windthrow risk on Vancouver Island, Canada, using stand level information. For. Ecol. & Manage. 154: 117-130. (Abstract)

Howard, A.F. and H. Temesgen. 1997. Potential financial returns from alternative silvicultural prescriptions in second-growth stands of coastal British Columbia. Can. J. For. Res. 27:1483-1495. (Abstract)