I am Bryce Frank.

I am also a research scientist with the Pacific Northwest Research Station of the United States Forest Service. I conduct research across the broad domain of forest biometrics, with a particular attachment to the Forest Inventory and Analysis program.

Research Areas

Statistical methods in forestry

Sampling designs and statistical inference for forest inventories.

STATStatistical methods in forestry

Remote sensing of the forested environment

Turning lidar and remote sensing into fine-scale forest inventory.

RSRemote sensing of the forested environment

Forest mensuration, growth, and allometrics

Tree measurement, allometric models, and growth and yield modeling.

AGYAllometrics, growth, and yield

Other Foci

Lidar 17 Forest Management 16 Small Area Estimation 13 National Forest Inventory 12 Fire and Fuels 6 Forest Measurements 5 Sampling Designs 5 Photogrammetry 4 Allometric Models 3 Forest Productivity 2 Multispectral 2 Biomass 1 Growth and Yield 1 Land Use Change 1 Measurement Error 1 Quality Assurance 1 Spatial Models 1

Recent Research

All research »

  1. Estimating crown fuels in Pinus pinaster Aiton forests of interior Spain using remote sensing and national forest inventory data

    Mauro, Francisco, Alcasena, F., Domingo-Ruiz, D., Frank, B., Fekety, P., Garcia-Gomez, R., Gonzalez-Garcia, C., Gonzalez-Mesquida, J. B., Gomez-Almaraz, C., Gomez-Roux, M., Hudak, A., Martin-Fernandez, S., Manzanera, J. A., Sanchez-Lopez, N., Vogeler, J. 2026. Forest Systems.

    RSRemote sensing of the forested environment Fire and Fuels

  2. Post-stratification in the Forest Inventory and Analysis Program: The Case of the Pacific States and Affiliated Islands

    Frank, Bryce, Kuegler, O., Andersen, H.-E., Gray, A. N., Cahoon, S. M. 2026. General Technical Report.

    STATStatistical methods in forestry National Forest Inventory

  3. Tree growth, mortality, and climatic water deficit in west-coast states, USA

    Groom, Jeremiah, Frank, B. 2026. SSRN.

    STATStatistical methods in forestry Forest Management

  4. Combining multitemporal remote sensing data and repeated ground observations from the Spanish National Forest Inventory to inform uneven-aged management of Juniperus thurifera L. forests.

    Mauro, Francisco, González-Mesquida, J. B., Gomez-Roux, M., Domingo-Ruiz, D., Gómez, C., Caiza-Morales, L., Rodríguez-Puerta, F., Águeda, B., Frank, B., Filippelli, S., Breidenbach, J., Hudak, A., Temesgen, H., Fekety, P., Manzanera, J. A., Candel-Pérez, D. 2025. Forestry. doi:10.1093/forestry/cpaf080

    STATStatistical methods in forestryRSRemote sensing of the forested environment Lidar Multispectral

  5. Comparison of digital aerial photogrammetry, lidar, and Sentinel-2 for evaluating forest fire effects.

    Frank, Bryce, Strunk, J. L., Fried, J. S., Wolken, K., McKenzie, S. C. 2025. Forest Ecology and Management. doi:10.1016/j.foreco.2025.123002

    RSRemote sensing of the forested environment Fire and Fuels Lidar Photogrammetry Multispectral