I am a Research Associate in Spatial Modeling (Department of Civil and Environmental Engineering) at the University of Alberta. My work focuses on developing practical applications of machine learning and data science methods for remote sensing data (drone, aerial, and satellite) to solve geospatial problems and enhance decision-making, with an emphasis on forestry and wildfire science.

MSc. Civil and Environmental Engineering, University of Alberta (2021 - 2023)
BSc. Mechanical Engineering, University of Alberta (2016 - 2021)

Bennett, L., Da Silva, C., & Boisvert, J. (2024). Spatial Modeling of Forest Attributes. IntechOpen. https://doi.org/10.5772/intechopen.115078

Bennett L., Yu Z., Wasowski R., Selland S., Otway S., Boisvert J. (2024). Individual tree detection and classification from RGB satellite imagery with applications to wildfire fuel mapping and exposure assessments. International Journal of Wildland Fire, 33, WF24008. https://doi.org/10.1071/WF24008

Bennett, L. (2023). Wildfire Fuel Mapping with Convolutional Neural Networks for Remote Automated Exposure Assessment [University of Alberta]. https://doi.org/10.7939/r3-rcc5-z865

Bennett, L., Wilson, B., Selland, S., Qian, L., Wood, M., Zhao, H., & Boisvert, J. (2022). Image to attribute model for trees (ITAM-T): individual tree detection and classification in Alberta boreal forest for wildland fire fuel characterization. International Journal of Remote Sensing, 43 (5), 1848–1880. https://doi.org/10.1080/01431161.2022.2048914

Castilla, G., Rodrigue, S., Kapil, R., Mathers, K., Wagers, S., Bennett, L., & Boisvert, J. (2025). Individual tree inventory with drone photogrammetry and deep learning: a case study in a mixed boreal forest in Alberta, Canada. Silvilaser 2025.

Boisvert, J., Bennett, L., Dubrule, M., Lipsett, M. (2025). Understanding the benefits of drone as first responder programs. 2025 IEEE International Humanitarian Technology Conference (2025 IHTC).

Castilla* G, Rathore S, Bennett L, Kapil R, Boisvert J (2024) Artificial Intelligence on Aerial Imagery (AI2) for individual tree inventory in mixed boreal forests: is it better to work on the individual drone photos or the orthomosaic? ForestSAT, Rotorua

Hernández Mora R*, Bennett L, Boisvert J. (2023) From research to an industry app: Steps to deploy a machine learning model for locating individual trees. Autonomous Systems Initiative. Poster. Alberta, Canada

Bennett, L., & Boisvert, J. (2023). Drone technology in the fire services. Alberta Fire Chiefs Association Conference.

Bennett, L., & Boisvert, J. (2022). Remotely Sensed Data and Wildfire Management – Developing Techniques for the 'New Normal''.' CIF-IFC National Conference and 114th AGM.

Boisvert, J., & Bennett, L. (2022). Advances in the Use of UAVs for Monitoring Fires and Conducting Hazard Assessments. Wildland Fire Canada Conference.

Boisvert J, Silva C, Bennett L, Schuurmans D (2021) Optimizing graduate student decent: Effectively formulating sparse spatial problems for machine learning algorithms with lessons learnt from three applications. Geostat Congress 2021, Toronto, 2021

Bennett, L., Boisvert, J., Otway, S., Cheng, L., Cunningham, S., & Debienne, S. (2021). Machine Learning Methods Applied to UAV and Satellite Imagery to Characterize Fuels, with Implications to Wildland Firefighter Training. Fire Rescue Canada Conference.