Presentations

Conference abstracts, talks, lectures, meetings, and webinars.

Forest Management 12 National Forest Inventory 11 Lidar 9 Small Area Estimation 9 Forest Measurements 5 Fire and Fuels 3 Photogrammetry 3 Forest Productivity 2 Allometric Models 1 Land Use Change 1 Measurement Error 1 Quality Assurance 1 Sampling Designs 1

  1. A full cycle of reconciled landuse change in Pacific Coast forests: patterns and potential for national estimation

    Gray, Andrew N., Frank, B., Kuegler, O. 2026. 17th Forest Inventory and Analysis Science Symposium . Virtual.

    STATStatistical methods in forestry Land Use Change National Forest Inventory

  2. Assessing post-fire conditions with canopy height models and small area estimation

    Filippelli, Steven, Schleeweis, K., Frank, B., Morford, S., Vogeler, J. 2026. 17th Forest Inventory and Analysis Science Symposium . Virtual.

    STATStatistical methods in forestryRSRemote sensing of the forested environment

  3. Assessing the influence of variable annual sampling effort on official forest inventory statistics

    Gaines, George, Frank, B., Randolph, K., Westfall, J. 2026. 17th Forest Inventory and Analysis Science Symposium . Virtual. Abstract.

    STATStatistical methods in forestry National Forest Inventory

  4. Comparison of photogrammetric point clouds and neural network canopy height models with national forest inventory data.

    Frank, Bryce. 2026. Operational Lidar Inventory Meeting . Vancouver, WA. Invited talk.

    STATStatistical methods in forestryRSRemote sensing of the forested environment Photogrammetry

  5. Evaluating photogrammetric and neural network canopy height models in western United States forests

    Frank, Bryce, Morford, S. L., Filippelli, S. K., Reinhardt, J., Strunk, J. L., Hudak, A. T. 2026. 17th Forest Inventory and Analysis Science Symposium . Virtual. Abstract.

    RSRemote sensing of the forested environment

  6. Model-based small area estimation of stand attributes using FIA and Remote sensing with timber industry validation

    Joo, Sukhyun, Hailemariam, T., Frank, B. 2026. 17th Forest Inventory and Analysis Science Symposium . Virtual. Abstract.

    STATStatistical methods in forestryRSRemote sensing of the forested environment

  7. Post-stratification in the Pacific Northwest and Rocky Mountain FIA regions

    Frank, Bryce, Schleeweis, K. 2026. All Forest Inventory and Analysis Operations Meeting . Portland, OR.

    STATStatistical methods in forestry Forest Measurements National Forest Inventory

  8. Quantiyfing and reducing noise in NAIP3D point clouds used in small area estimation

    Gatziolis, Demetrios, Frank, B. 2026. 17th Forest Inventory and Analysis Science Symposium . Virtual. Abstract.

    STATStatistical methods in forestryRSRemote sensing of the forested environment

  9. Sunsetting of Pacific Northwest FIA's height subsampling

    Frank, Bryce. 2026. California, Oregon, and Washington FIA Data Collection Spring Training . Invited talk.

    AGYAllometrics, growth, and yield Allometric Models National Forest Inventory

  10. The end of growth sample trees in the Pacific Northwest FIA program

    Frank, Bryce. 2026. All Forest Inventory and Analysis Operations Meeting . Portland, OR.

    AGYAllometrics, growth, and yield Forest Measurements National Forest Inventory

  11. The essence of measurement error on remeasured tree heights

    Frank, Bryce. 2026. Forest Models . Oregon State University. Corvallis, OR. Invited talk.

    AGYAllometrics, growth, and yieldSTATStatistical methods in forestry Measurement Error

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

    Groom, Jeremiah, Frank, B. 2026. 17th Forest Inventory and Analysis Science Symposium . Virtual. Abstract.

    AGYAllometrics, growth, and yield

  13. Classification and regression trees in forest inventory and analysis

    Frank, Bryce. 2025. Forest Modeling with Machine Learning . Oregon State University. Corvallis, OR. Invited talk.

    STATStatistical methods in forestry National Forest Inventory

  14. Estimating forest biomass in Oregon using small area estimation

    Joo, S., Temesgen, H., Frank, B. 2025. Center for Intensive Planted-forest Silviculture Technical Review . Corvallis, OR.

    STATStatistical methods in forestry Small Area Estimation

  15. Imputation of missing heights for a national forest inventory system

    Frank, Bryce. 2025. Western Mensurationists Meeting . Moscow, ID. Invited talk.

    AGYAllometrics, growth, and yieldSTATStatistical methods in forestry Forest Measurements National Forest Inventory

  16. Integrating FIA data and remote sensing for small area estimation

    Joo, S., Temesgen, H., Frank, B. 2025. Center for Intensive Planted-forest Silviculture Meeting . Corvallis, OR.

    STATStatistical methods in forestryRSRemote sensing of the forested environment Small Area Estimation Photogrammetry National Forest Inventory

  17. Predicting heights

    Frank, Bryce. 2025. Vegetation Monitoring, Science, and Applications Team Meeting . Virtual. Invited talk.

    AGYAllometrics, growth, and yieldSTATStatistical methods in forestry Forest Measurements

  18. Random forests in forest inventory and analysis

    Frank, Bryce. 2025. Forest Modeling with Machine Learning . Oregon State University. Corvallis, OR. Invited talk.

    STATStatistical methods in forestry National Forest Inventory

  19. Small area estimation of stand attributes in Washington using 3D‑NAIP and Sentinel-derived variables

    Joo, S., Temesgen, H., Frank, B. 2025. Presented to the Center for Intensive Planted-forest Silviculture Steering Committee . Corvallis, OR.

    STATStatistical methods in forestryRSRemote sensing of the forested environment

  20. The Alaskan rough cull conundrum

    Frank, Bryce. 2025. Forest Inventory and Analysis Alaska Science Team . Remote.

    AGYAllometrics, growth, and yield Quality Assurance

  21. Using small area estimation and 3D‑NAIP/Sentinel-derived variables for multivariate prediction of stand attributes

    Joo, S., Temesgen, H., Frank, B. 2025. Partnership for Small Area Estimation Meeting . Missoula, MT.

    STATStatistical methods in forestryRSRemote sensing of the forested environment Small Area Estimation

  22. Using small area estimation and 3D‑NAIP/Sentinel-derived variables for multivariate prediction of stand attributes

    Joo, S., Temesgen, H., Frank, B. 2025. Presented to the Center for Research on Sustainable Forests Industry Advisory Board . Waimea, HI.

    STATStatistical methods in forestryRSRemote sensing of the forested environment

  23. Applications of small area estimation

    Frank, Bryce. 2024. Forest Biometrics . Oregon State University. Corvallis, OR. Invited talk.

    STATStatistical methods in forestry Small Area Estimation

  24. Assessing tree mortality and growth by plot climatic condition and change.

    Groom, Jeremiah, Frank, B. 2024. 16th Forest Inventory and Analysis Science Symposium . Virtual. Abstract.

    AGYAllometrics, growth, and yield

  25. Comparison of digital aerial photogrammetry and lidar for post-fire forest modeling.

    Frank, Bryce, Strunk, J. L., Wolken, K., Fried, J. S., McKenzie, S. C. 2024. 16th Forest Inventory and Analysis Science Symposium . Virtual. Invited abstract.

    RSRemote sensing of the forested environment

  26. Digital aerial photogrammetry, Sentinel-2, and lidar for post-fire forest modeling

    Frank, Bryce, Strunk, J. L., Wolken, K., Fried, J. S., McKenzie, S. C. 2024. Region 5 Fuel Treatment Effectiveness Coordination Meeting . Virtual. Invited talk.

    RSRemote sensing of the forested environment Forest Management Fire and Fuels

  27. Estimation of wildfire biomass consumption with digital aerial photogrammetry

    Frank, Bryce. 2024. Operational Lidar Inventory Meeting . Vancouver, WA. Invited talk.

    STATStatistical methods in forestryRSRemote sensing of the forested environment Photogrammetry Fire and Fuels

  28. Integration of frame-based photo point clouds (NAIP3D) with FIA plots in Oregon and Washington.

    Strunk, Jacob, Frank, B. 2024. 16th Forest Inventory and Analysis Science Symposium . Virtual. Abstract.

    STATStatistical methods in forestryRSRemote sensing of the forested environment

  29. Inventory and assessment of freshwater mussels in the Bureau of Land Management Prineville District, Oregon.

    Blevins, Emilie, Frank, B., Smith, A., Moss, J. 2024. 154th Annual Meeting of the American Fisheries Society . Honolulu, HI. Abstract.

  30. Latent site index

    Frank, Bryce. 2024. Vegetation Monitoring, Science and Applications Team . Virtual. Invited talk.

    AGYAllometrics, growth, and yield Forest Productivity

  31. Linking Site Tree Measurements Through Time

    Frank, Bryce. 2024. All Forest Inventory and Analysis Operations Meeting . Portland, OR.

    AGYAllometrics, growth, and yield Forest Productivity

  32. National forest inventory plot remeasurement planning committee: decisions and implications

    Frank, Bryce. 2024. Vegetation Monitoring and Science Application Team . Virtual.

    STATStatistical methods in forestry Sampling Designs National Forest Inventory

  33. Post-fire vegetative mapping with lidar and digital aerial photogrammetry: a regional opportunity

    Frank, Bryce. 2024. Webinar . Virtual.

    RSRemote sensing of the forested environment Forest Management Fire and Fuels

  34. Small area estimation: motivations and applications for forest inventories

    Frank, Bryce. 2024. Weyerhaeuser Quantitative Systems and Inventory Team . Centralia, WA. Invited talk.

    STATStatistical methods in forestryRSRemote sensing of the forested environment Small Area Estimation Forest Management Lidar

  35. Using small area estimation and 3D‑NAIP/Sentinel-derived variables for multivariate prediction of stand attributes

    Joo, S., Temesgen, H., Frank, B., Strunk, J., Hogg, D., Naumann, N., Montes, C., Radtke, P., Cook, R., Hughes, E. 2024. Presented to the Center for Research on Sustainable Forests Industry Advisory Board . Madison, WI.

    STATStatistical methods in forestryRSRemote sensing of the forested environment

  36. Small area estimation in forest inventories, what to do when sample sizes become small

    Mauro, Francisco, Frank, B. 2023. International Union of Forest Research Organizations . Webinar. Invited talk.

    STATStatistical methods in forestryRSRemote sensing of the forested environment Forest Management Lidar Small Area Estimation

  37. Stand effects: what are they and what can we do about them?

    Frank, Bryce. 2023. Operational Lidar Inventory Meeting . Vancouver, WA. Invited talk.

    STATStatistical methods in forestryRSRemote sensing of the forested environment Forest Management Lidar

  38. Charting a course for the Bureau of Land Management Strategic Forest Inventory System

    Frank, Bryce. 2022. Presented to the Pacific Northwest Regional Biometrics Meeting . Virtual.

    STATStatistical methods in forestry Forest Management National Forest Inventory

  39. Small area estimation of site potential tree height in western Oregon

    Frank, Bryce. 2022. Forest Biometrics . Oregon State University. Corvallis, OR. Invited talk.

    STATStatistical methods in forestry Small Area Estimation

  40. Predicting site potential tree height with climatically driven site index models

    Frank, Bryce. 2021. Presented to the Pacific Northwest Regional Biometrics Meeting . Virtual.

    AGYAllometrics, growth, and yield Forest Management

  41. Small area estimation in remote sensing forest inventories

    Frank, Bryce. 2020. Forest Biometrics . Oregon State University. Corvallis, OR. Invited talk.

    STATStatistical methods in forestryRSRemote sensing of the forested environment Small Area Estimation

  42. Comparison of classification models for commercial thinning eligibility using LiDAR

    Frank, Bryce, Mauro, F., Temesgen, H. 2019. Presented to the USDA Forest Service Region 6 Biometrics Team . Portland, OR. Invited talk.

    RSRemote sensing of the forested environment Forest Management Lidar

  43. Estimation of tree-lists in southwestern Oregon using LiDAR

    Mauro, Francisco, Temesgen, H., Frank, B. 2019. Bureau of Land Management Science Meeting . Salem, OR.

    RSRemote sensing of the forested environment Forest Management Lidar

  44. Forest sampling and measurement concepts

    Frank, Bryce. 2019. Forest Mensuration . Oregon State University. Corvallis, OR. Invited talk.

    AGYAllometrics, growth, and yield Forest Measurements

  45. The semi-individual tree crown approach: considerations for a model-based inference

    Frank, Bryce, Mauro, F., Hailemariam, T. 2019. Western Mensurationists Meeting . Kamloops, BC, Canada.

    STATStatistical methods in forestryRSRemote sensing of the forested environment Lidar Forest Management

  46. Prediction of stand level tree-lists and estimation of growth using LiDAR

    Mauro, Francisco, Frank, B., Temesgen, H. 2018. Presented to Willamette National Forest Supervisor . Springfield, OR. Invited talk.

    RSRemote sensing of the forested environmentAGYAllometrics, growth, and yield Forest Management Lidar

  47. Selecting stands for thinning with LiDAR

    Frank, Bryce, Mauro, F., Temesgen, H. 2018. Presented to Willamette National Forest Supervisor . Springfield, OR. Invited talk.

    RSRemote sensing of the forested environment Forest Management Lidar

  48. Small area estimation of forest attributes using LiDAR-based unit-level models and area-level models at two different scales

    Frank, Bryce, Mauro, F., Roux, M. G., Abril, A. G., Hernando, A., Temesgen, H., Ford, K., Vega, J. A. M. D. L., Valbuena, R. 2017. 15th SilviLaser International Conference . Blacksburg, VA. Abstract.

    STATStatistical methods in forestryRSRemote sensing of the forested environment Small Area Estimation Lidar