OREGON STATE UNIVERSITY

Hailemariam, Temesgen

Position Type: 
Faculty
Job Title: 
Professor in forest Biometrics & Measurements
Department: 
Forest Engineering, Resources & Management
Office Location: 

316 Snell Hall

Phone Number: 
(541) 737-8549
Education: 
PhD, 1999, Forest Biometrics, University of British Columbia
MS, 1992, Forest Management, Lakehead University
BS, 1986, Plant Sciences, Alemaya University of Agriculture
Research Areas: 
  • Forest Biometrics and Geomatics
Research Interests: 
  • Biometrics
  • Forest Measurements
Forest measurements and biometrics, modeling, and LiDAR
Bio: 
Current Programs:
Develop imputation and sampling techniques to assess, monitor, and analyze forest resources; develop quantitative methods to characterize, quantify, and integrate tree/crown attributes and site productivity; and integrate airborne LiDAR and ground data to estimate status, change, and trends.
Courses Taught: 
FOR 321
Forest Mensuration
FOR 524
Forest Biometrics
FOR 550
Sustainable Forest Management
Selected Publications: 
  1. Bao Huy, G. T. Thanh, K. P. Poudel, B.M. Frank, and H. Temesgen. In press. Taxon- specific modeling systems for improving reliability of tree aboveground biomass and its components estimates in tropical dry dipterocarp forests. Forest Ecology and Management.
  2. Mauro, F., B. Frank, V.J. Monleon, H. Temesgen, and Kevin R. Ford. In press. Prediction of diameter distributions and tree-lists in southwestern Oregon using LiDAR and stand-level auxiliary information. Canadian Journal of Forest Research
  3. Poudel, K.P., Temesgen, H., P.J. Radtke, and A. Gray. 2018. Estimating Individual Tree Aboveground Biomass of Tree Species in the Western U.S.A. Canadian Journal of Forest Research.
  4. Hoe, M., C. Dunn, and H. Temesgen. 2018. Estimating fire induced basal area mortality with multi-temporal LiDAR. International Journal of Wildland Fire. 27 (9), 581-594
  5. Huff, S., K.P. Poudel, M. Ritchie, and H. Temesgen. In press. Quantifying Aboveground Biomass for Common Shrubs in Northeastern California Using Nonlinear Mixed Effect Models. Forest Ecology and Management.
  6. 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.
  7. 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
  8. 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.
  9. 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
  10. 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. 47(6): 788-799.
  11. 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.
  12. 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.
  13. 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.
  14. 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
  15. 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.
  16. 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.
  17. Poudel, K.P. and H. Temesgen. 2016. Developing Biomass Equations for Western Hemlock and Red Alder Trees in Western Oregon Forests. (4): 88. Forests.
  18. 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.
  19. 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)
  20. 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. (pdf)
  21. 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.
  22. Shettles, M., T. Hilker, and H. Temesgen. 2016. Examination of uncertainty in per unit area estimates of above ground biomass using terrestrial lidar. Canadian Journal of Forest Research. 46: 706-715.
  23. 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.
  24. 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.
  25. 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)
  26. Huff, S., K.P. Poudel, M. Ritchie, and H. Temesgen. In press. Quantifying Aboveground Biomass for Common Shrubs in Northeastern California Using Nonlinear Mixed Effect Models. Forest Ecology and Management.
  27. 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.
  28. 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
  29. 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.
  30. 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
  31. 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. 47(6): 788-799.
  32. 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.
  33. 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.
  34. 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.
  35. 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
  36. 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.
  37. 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.
  38. 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)
  39. 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)
  40. Temesgen, H., K.P. Poudel, A. Gray, D. Affleck, and J. Sessions. (2015). Measurements and Estimation of Above Ground Biomass of The Western U.S. Forests. Scandinavian Journal of Forest Research. 30(4): 326-335
  41. 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)