Research Areas
Statistical methods in forestry
Statistical estimation and inference for forest inventories: sampling designs, model-based methods, and small-area estimators that keep the national inventory current at ever finer scales.
Remote sensing of the forested environment
Turning lidar and other remote sensing data into fine-scale forest inventory products through statistical modeling.
Allometrics, growth, and yield
Improving how trees are measured and modeled, from field protocols and measurement error to growth and allometric models.
Other Foci
Recent Research
All research »-
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 -
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 -
Tree growth, mortality, and climatic water deficit in west-coast states, USA
Groom, Jeremiah, Frank, B. 2026. SSRN.
STATStatistical methods in forestry Forest Management -
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.
STATStatistical methods in forestryRSRemote sensing of the forested environment Lidar Multispectral -
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.
RSRemote sensing of the forested environment Fire and Fuels Lidar Photogrammetry Multispectral