1. Podur, J., & Wotton, M. (2010). Will climate change overwhelm fire management capacity? Ecological Modelling, 221(9), 1301–1309. https://doi.org/10.1016/j.ecolmodel.2010.01.013
2. Aurell, J., Gullett, B., Holder, A., Kiros, F., Mitchell, W., Watts, A., & Ottmar, R. (2021). Wildland fire emission sampling at Fishlake National Forest, Utah using an unmanned aircraft system. Atmospheric Environment, 247, 118193. https://doi.org/10.1016/j.atmosenv.2021.118193
3. Taylor, S. W., Woolford, D. G., Dean, C. B., & Martell, D. L. (2013). Wildfire Prediction to Inform Fire Management: Statistical Science Challenges. Statistical Science, 28(4), 586–615. https://doi.org/10.1214/13-STS451
4. Atchley, A. L., Linn, R., Jonko, A., Hoffman, C., Hyman, J. D., Pimont, F., Sieg, C., Middleton, R. S., Atchley, A. L., Linn, R., Jonko, A., Hoffman, C., Hyman, J. D., Pimont, F., Sieg, C., & Middleton, R. S. (2021). Effects of fuel spatial distribution on wildland fire behaviour. International Journal of Wildland Fire , 30(3), 179–189. https://doi.org/10.1071/WF20096
5. De’ath, G. (2002). Multivariate Regression Trees: A New Technique for Modeling Species–Environment Relationships. Ecology, 83(4), 1105–1117. https://doi.org/10.1890/0012-9658(2002)083[1105:MRTANT]2.0.CO;2
6. Maeda, E. E., Nunes, M. H., Calders, K., Moura, Y. M. de, Raumonen, P., Tuomisto, H., Verley, P., Vincent, G., Zuquim, G., & Camargo, J. L. (2022). Shifts in structural diversity of Amazonian forest edges detected using terrestrial laser scanning. Sensing of Environmen, 271, 112895. https://doi.org/10.1016/j.rse.2022.112895
7. Wilson, N., Bradstock, R., & Bedward, M. (2021). Detecting the effects of logging and wildfire on forest fuel structure using terrestrial laser scanning (TLS). Forest Ecology and Management, 488, 119037. https://doi.org/10.1016/j.foreco.2021.119037
8. Ehbrecht, M., Schall, P., Juchheim, J., Ammer, C., & Seidel, D. (2016). Effective number of layers: A new measure for quantifying three-dimensional stand structure based on sampling with terrestrial LiDAR. Forest Ecology and Management , 380, 212–223. https://doi.org/10.1016/j.foreco.2016.09.003
9. Cooper, Z. T. (2022). Using terrestrial LiDAR to quantify forest structural heterogeneity and inform 3D fire modeling. Sonoma State University.