Hailemariam Temesgen

According to our database, Hailemariam Temesgen authored at least 8 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-output deep learning models for enhanced reliability of simultaneous tree above- and below-ground biomass predictions in tropical forests of Vietnam.

Bao Huy, Nguyen Quy Truong, Krishna P. Poudel, Hailemariam Temesgen, Nguyen Quy Khiem

Comput. Electron. Agric., 2024

2022

Comparison of Model-Assisted Endogenous Poststratification Methods for Estimation of Above-Ground Biomass Change in Oregon, USA.

Francisco Mauro, Vicente J. Monleon, Andrew N. Gray, Olaf Kuegler, Hailemariam Temesgen, Andrew T. Hudak, Patrick A. Fekety, Zhiqiang Yang

Remote. Sens., December, 2022

2021

Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon.

Francisco Mauro, Andrew T. Hudak, Patrick A. Fekety, Bryce Frank, Hailemariam Temesgen, David M. Bell, Matthew J. Gregory, T. Ryan McCarley

Remote. Sens., 2021

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

Int. J. Appl. Earth Obs. Geoinformation, 2021

2020

Model-Based Estimation of Forest Inventory Attributes Using Lidar: A Comparison of the Area-Based and Semi-Individual Tree Crown Approaches.

Bryce Frank, Francisco Mauro, Hailemariam Temesgen

Remote. Sens., 2020

2019

Estimation of Changes of Forest Structural Attributes at Three Different Spatial Aggregation Levels in Northern California using Multitemporal LiDAR.

Francisco Mauro, Martin Ritchie, Brian Wing, Bryce Frank, Vicente J. Monleon, Hailemariam Temesgen, Andrew T. Hudak

Remote. Sens., 2019

2015

Edge-Tree Correction for Predicting Forest Inventory Attributes Using Area-Based Approach With Airborne Laser Scanning.

Petteri Packalen, Jacob L. Strunk, Juho Pitkänen, Hailemariam Temesgen, Matti Maltamo

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Evaluating different models to predict biomass increment from multi-temporal lidar sampling and remeasured field inventory data in south-central Alaska.

Hailemariam Temesgen, Jacob L. Strunk, Hans-Erik Andersen, James Flewelling

Math. Comput. For. Nat. Resour. Sci., 2015