Bell, D., M. Halbur, F. Elias, N. Pearson, D.E. Crocker, and L.P. Bentley (2025). Assessing Umbellularia californica Basal Resprouting Response Post-Wildfire Using Field Measurements and Ground-Based LiDAR Scanning. Remote Sens. 2025, 17(17), 3101; https://doi.org/10.3390/rs17173101
Kelly, A., L. Blesius, J.D. Davis and L.P. Bentley (2025). Using Unoccupied Aerial Systems (UAS) and Structure-from-Motion (SfM) to Measure Forest Canopy Cover and Individual Tree Height Metrics in Northern California Forests. Forests, 16(4), p.564.
Post, A.J., B. Forbes, Z. Cooper, K. Faro, C. Seel, M. Clark, M. Disney and L.P. Bentley (2025) Using handheld mobile laser scanning to quantify fine-scale surface fuels and detect changes post-disturbance in northern California forests. Ecological Indicators, 172, p.113276.
Smeds, E.A., Z. Cooper and L.P. Bentley (2025). lacunr: Efficient 3D lacunarity for voxelized LiDAR data from forested ecosystems. Methods in Ecology and Evolution.
Reilly, S., M.L. Clark, L. Loechler, J. Spillane, M. Kozanitas, P. Krause, D. Ackerly, L.P. Bentley and I.O. Menor (2024). Unoccupied aerial system (UAS) Structure-from-Motion canopy fuel parameters: Multisite area-based modelling across forests in California, USA. Remote Sensing of Environment, 312, p.114310.
Flores, A., L.P. Bentley and R. Cobb. (2024) Using handheld LiDAR scans of Heterobasidion irregulare affected plots in Plumas National Forest, CA to determine the effects of disease spread on tree structure and competition. CSU Geospatial Review. pp. 2-3.
Krause, P., B. Forbes, A. Barajas-Ritchie, M. Clark, M. Disney, P. Wilkes and L.P. Bentley (2023) Using terrestrial laser scanning to evaluate non-destructive aboveground biomass allometries in diverse Northern California forests. Frontiers in Remote Sensing. https://doi.org/10.3389/frsen.2023.1132208.
Forbes, B. Reilly, S., Clark, M., Ferrell, R., Kelly A., Krause P., Matley, C. O’Niel, M., Villasenor, M., Disney, M. Wilkes, P., Bentley, L.P. (2022) Comparing remote sensing and field based-approaches to estimate ladder fuels and predict wildfire burn severity, Front, For. Glob. Change, https://doi.org/10.3389/ffgc.2022.818713.
Bentley, L.P., M. Clark, B. Forbes, P. Krause, S. Reilly, L. Blesius, A Kelly (2021) Remote sensing of 3D forest structure for fuels management and carbon accounting. CSU Geospatial Review.
Reilly, S., M.L. Clark, L.P. Bentley, I. Oliveras (2021) The potential of multispectral imagery and 3D point clouds from unoccupied aerial systems (UAS) for monitoring forest structure and the impacts of wildfire in Mediterranean-climate forests. Remote Sens. 13(19), 3810; https://doi.org/10.3390/rs13193810.