Bryce Frank, Ph.D.



My research interests revolve around large scale analysis of forest resources. In particular:

Peer-Reviewed Publications

Allensworth, Elijah, Hailemariam Temesgen, Bryce Frank, and Andrew Gray. 2021. Imputation to predict height to crown base for trees with predicted heights. Forest Ecology and Managment.

Frank, Bryce, Francisco Mauro, Hailemariam Temesgen, and Kevin Ford. 2019. Analysis of Classification Methods for Identifying Stands for Commercial Thinning using LiDAR. Canadian Journal of Remote Sensing.

Frank, Bryce, Francisco Mauro, Hailemariam 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.

Frank, Bryce, Vicente J. Monleon. 2021. Comparison of Variance Estimators for Systematic Environmental Sample Surveys: Considerations for Post-stratified Estimation. Forests.

Huy, Bao, Nguyen Thi Tinh, Krishna Poudel, Bryce Frank, and Hailemariam 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.

Mauro, Francisco, Andrew Hudak, Patrick Fekety, Bryce Frank, Hailemariam Temesgen, David Bell, Matthew Gregory and Ryan McCarley. 2021. Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon. Remote Sensing.

Mauro, Francisco, Bryce Frank, Vicente J. Monleon, Hailemariam Temesgen, and Kevin Ford. 2019. Prediction of diameter distributions and tree-lists in southwestern Oregon using LiDAR and stand-level auxiliary information. Canadian Journal of Forest Research.

Mauro, Francisco, Martin Ritchie, Brian Wing, Bryce Frank, Vicente J. Monleon, Hailemariam Temesgen, and Andrew Hudak. 2019. Estimation of changes of forest structural attributes at three different spatial aggregation levels in Northern California using multitemporal LiDAR. Remote Sensing.

Software Packages

Higham, Matthew, Jay Ver Hoef, Bryce Frank. 2020. sptotal: Predicting Totals and Weighted Sums from Spatial Data. CRAN package repository.

Conference Papers

Frank, Bryce, Francisco Mauro, Manuel Gomez Roux, Antonio García Abril, Ana Hernando, Hailemariam Temesgen, Kevin Ford, José Antonio Manzanera de la Vega, and Ruben Valbuena. 2017. Small Area Estimation of Forest Attributes Using LiDAR Based Unit-Level Models and Area-Level Models at Two Different Scales.

Other Publications

Frank, Bryce. 2020. Aerial Laser Scanning for Forets Inventories: Estimation and Uncertainty at Multiple Scales. Dissertation. Oregon State University.