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Hailemariam Temesgen

Hailemariam Temesgen

D-Index & Metrics

Ecology and Evolution

D-Index
34
Citations
3978
World Ranking
7685
National Ranking
2579

Overview

Hailemariam Temesgen is affiliated with Oregon State University in the United States. Their research primarily focuses on Environmental Science with a significant emphasis on forest ecology and management as well as remote sensing technologies.

Their publication record includes contributions to several prominent journals. Frequent venues for their work include:

  • Remote Sensing
  • Forest Ecology and Management
  • Frontiers in Forests and Global Change
  • International Journal of Applied Earth Observation and Geoinformation
  • Forests

Hailemariam Temesgen's research spans multiple subfields such as:

  • Nature and Landscape Conservation
  • Environmental Engineering
  • Global and Planetary Change
  • Ecology
  • Ecological Modeling

The scientist's main topics of interest include:

  • Forest ecology and management
  • Remote Sensing and LiDAR Applications
  • Species Distribution and Climate Change
  • Ecology and Vegetation Dynamics Studies
  • Forest Management and Policy
  • Remote Sensing in Agriculture
  • Fire effects on ecosystems

Recent published papers reflective of these focus areas include:

  • "Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogenous landscape," 2021, published in International Journal of Applied Earth Observation and Geoinformation
  • "Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon," 2021, published in Remote Sensing
  • "Deep learning models for improved reliability of tree aboveground biomass prediction in the tropical evergreen broadleaf forests," 2022, published in Forest Ecology and Management
  • "Using Fay-Herriot Models and Variable Radius Plot Data to Develop a Stand-Level Inventory and Update a Prior Inventory in the Western Cascades, OR, United States," 2021, published in Frontiers in Forests and Global Change
  • "Model-Based Estimation of Forest Inventory Attributes Using Lidar: A Comparison of the Area-Based and Semi-Individual Tree Crown Approaches," 2020, published in Remote Sensing

The scientist frequently collaborates with other researchers including:

  • Francisco Mauro
  • Bryce Frank
  • Krishna P. Poudel
  • Andrew T. Hudak
  • Patrick A. Fekety

Best Publications

  • Generalized height–diameter models—an application for major tree species in complex stands of interior British Columbia

    H. Temesgen;K. v. Gadow

  • The roles of nearest neighbor methods in imputing missing data in forest inventory and monitoring databases

    Bianca N. I. Eskelson;Hailemariam Temesgen;Valerie Lemay;Tara M. Barrett

  • A review of the challenges and opportunities in estimating above ground forest biomass using tree-level models

    Hailemariam Temesgen;David Affleck;Krishna Poudel;Andrew Gray

  • Analysis and comparison of nonlinear tree height prediction strategies for Douglas-fir forests

    H. Temesgen;H. Temesgen;V.J. Monleon;V.J. Monleon;D.W. Hann;D.W. Hann

  • Comparison of Nearest Neighbor Methods for Estimating Basal Area and Stems per Hectare Using Aerial Auxiliary Variables

    Valerie LeMay;Hailemariam Temesgen

  • Empirical modeling of cutblock edge windthrow risk on Vancouver Island, Canada, using stand level information

    Unknown

  • Tree crown ratio models for multi-species and multi-layered stands of southeastern British Columbia

    Hailemariam Temesgen;Valerie LeMay;Stephen J. Mitchell

  • A Call to Improve Methods for Estimating Tree Biomass for Regional and National Assessments

    Aaron R. Weiskittel;David W. MacFarlane;Philip J. Radtke;David L.R. Affleck

  • Analysis of potential impacts of climate change on forests of the United States Pacific Northwest

    Gregory Latta;Hailemariam Temesgen;Darius M. Adams;Tara Barrett

  • Modelling tree height–diameter relationships in multi-species and multi-layered forests: A large observational study from Northeast China

    H. Temesgen;C.H. Zhang;X.H. Zhao

  • Sources of Variation in the Self-Thinning Boundary Line for Three Species with Varying Levels of Shade Tolerance

    Aaron Weiskittel;Peter Gould;Hailemariam Temesgen

  • Regional height-diameter equations for major tree species of southwest Oregon.

    Hailemariam Temesgen;David W. Hann;Vincente J. Monleon

  • Variable selection strategies for nearest neighbor imputation methods used in remote sensing based forest inventory

    Petteri Packalén;Hailemariam Temesgen;Matti Maltamo

  • Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in the boreal forests of interior Alaska

    Hans-Erik Andersen;Jacob Strunk;Hailemariam Temesgen;Donald Atwood

  • Using Airborne Light Detection and Ranging as a Sampling Tool for Estimating Forest Biomass Resources in the Upper Tanana Valley of Interior Alaska

    Hans-Erik Andersen;Jacob Strunk;Hailemariam Temesgen

  • Imputing tree-lists from aerial attributes for complex stands of south-eastern British Columbia

    H Temesgen;V.M LeMay;K.L Froese;P.L Marshall

  • Effects of lidar pulse density and sample size on a model-assisted approach to estimate forest inventory variables

    Jacob Strunk;Hailemariam Temesgen;Hans-Erik Andersen;James P. Flewelling

  • An Individual-Tree Mortality Model for Complex Stands of Southeastern British Columbia

    Hailemariam Temesgen;Stephen J. Mitchell

  • Mapping and imputing potential productivity of Pacific Northwest forests using climate variables

    Gregory LattaG. Latta;Hailemariam TemesgenH. Temesgen;Tara M. BarrettT.M. Barrett

  • Evaluation of sampling strategies to estimate crown biomass

    Krishna P Poudel;Hailemariam Temesgen;Andrew N Gray

  • A comparison of small-area estimation techniques to estimate selected stand attributes using LiDAR-derived auxiliary variables

    Michael E. Goerndt;Vicente J. Monleon;Hailemariam Temesgen

  • Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogenous landscape

    Ty C. Nietupski;Robert E. Kennedy;Hailemariam Temesgen;Becky K. Kerns

  • A Comparison of the Spatial Linear Model to Nearest Neighbor (k-NN) Methods for Forestry Applications

    Jay M. Ver Hoef;Hailemariam Temesgen

  • Allometric equations for estimating tree aboveground biomass in evergreen broadleaf forests of Viet Nam

    Bao Huy;Karin Kralicek;Krishna P. Poudel;Vu Tan Phuong

Frequent Co-Authors

Aaron R. Weiskittel
Aaron R. Weiskittel University of Maine
Andrew N. Gray
Andrew N. Gray US Forest Service
Andrew T. Hudak
Andrew T. Hudak US Forest Service
Thomas Hilker
Thomas Hilker Oregon State University
Matti Maltamo
Matti Maltamo University of Eastern Finland
Klaus von Gadow
Klaus von Gadow Stellenbosch University
Harold E. Burkhart
Harold E. Burkhart Virginia Tech
Robert E. Kennedy
Robert E. Kennedy Oregon State University
John W. Coulston
John W. Coulston US Forest Service
Douglas A. Maguire
Douglas A. Maguire Oregon State University

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Related Online Degrees & Career Pathways

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