Hailemariam, Temesgen

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

334 Peavy Forest Science Center (PFSC)

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.

Advising

Graduate Major Advisor
Courses Taught: 
  • FOR 321
    Forest Mensuration
  • FOR 524
    Forest Biometrics
  • FOR 550
    Sustainable Forest Management
Selected Publications: 
  1. 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.
  2. 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
  3. 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.
  4. 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.
  5. 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
  6. 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
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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

Complete Publications List:

For a complete list of publications, visit http://fmbl.forestry.oregonstate.edu/publications