Publications and Conferences
Publications
- Cao, Y., Coops, N. C., Murray, B. A., Sinclair, I., & Geordie, R.-M. (2026). M3FNet: Multi-modal multi-temporal multi-scale data fusion network for tree species composition mapping. ISPRS Journal of Photogrammetry and Remote Sensing, 231, 797–814. https://doi.org/10.1016/j.isprsjprs.2025.11.026
- Cao, Y., Coops, N. C., Murray, B. A., & Sinclair, I. (2025). Enhancing tree species composition mapping using Sentinel-2 and multi-seasonal deep learning fusion. International Journal of Remote Sensing, 1-27. https://doi.org/10.1080/01431161.2025.2583600
- Murray, B. A., Coops, N. C., White, J. C., Dick, A., Barbeito, I., & Ragab, A. (2025). Individual tree species prediction using airborne laser scanning data and derived point-cloud metrics within a dual-stream deep learning approach. International Journal of Applied Earth Observation and Geoinformation, 144, 104877. https://doi.org/10.1016/j.jag.2025.104877
- Murray, B. A., Coops, N. C., White, J. C., Dick, A., & Ragab, A. (2025). Tree species proportion prediction using airborne laser scanning and Sentinel-2 data within a deep learning based dual-stream data fusion approach. International Journal of Remote Sensing, 46(14), 5436–5464. https://doi.org/10.1080/01431161.2025.2521072
- Puliti, S., Lines, E. R., Müllerová, J., Frey, J., Schindler, Z., Straker, A., Allen, M. J., Winiwarter, L., Rehush, N., Hristova, H., Murray, B., Calders, K., Coops, N., Höfle, B., Irwin, L., Junttila, S., Krůček, M., Krok, G., Král, K., … Astrup, R. (2025). Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the FOR-species20K dataset. Methods in Ecology and Evolution, 16(4), 801–818. https://doi.org/10.1111/2041-210X.14503
- Murray, B. A., Coops, N. C., Winiwarter, L., White, J. C., Dick, A., Barbeito, I., & Ragab, A. (2024). Estimating tree species composition from airborne laser scanning data using point-based deep learning models. ISPRS Journal of Photogrammetry and Remote Sensing, 207, 282–297. https://doi.org/10.1016/j.isprsjprs.2023.12.008
- Tsenov, R.-M., Henry, C. J., Storie, J. L., Storie, C. D., Murray, B., & Sokolov, M. (2023). Exploration of convolutional neural network architectures for large region map automation. Journal of Applied Remote Sensing, 17. https://doi.org/10.1117/1.JRS.17.018505
- Murray, B. A., Sims, N., & Storie, J. (2022). Mapping mangrove alliances using historical data in Fiji. Journal of Coastal Conservation, 26(5), 47. https://doi.org/10.1007/s11852-022-00887-y
- Storie, J., Storie, C. D., Henry, C. J., Sokolov, M., Murray, B., Cameron, J., & Tsenov, R.-M. (2021). Basin-scale and seasonal evaluation of automated threshold methods for surface water detection. Remote Sensing Letters, 12(7), 645–653. https://doi.org/10.1080/2150704X.2021.1918788
- Murray, Brent, 2021, The Impacts of Burn Severity on Forest Resiliency in British Columbia, https://doi.org/10.5683/SP2/TYN44T, Scholars Portal Dataverse, V1
Conferences and Presentations
- Annual LiDAR/EFI Cross-Country Checkup, Canadian Forest Service (via Zoom)
Workshop Title: Deep Learning with Airborne Laser Scanning Data for Forest Inventories [February 5, 2026] - SilviLaser, Québec City, Québec, Canada
Presentation Title: Estimating tree species proportions using airborne laser scanning and Sentinel-2 data within a deep learning dual-stream data fusion approach [October 1, 2025] - SilviLaser, Québec City, Québec, Canada
Workshop Title: ALS processing for forest inventory using LAStools and lidR [September 29, 2025] - Living Planet Symposium (LPS), Vienna, Austria
Workshop Title: Airborne Lidar Data Manipulation and Visualization for Environmental Applications [June 23, 2025] - Symposium on Systems Analysis in Forest Resources (SSAFR), Hondarribia, Basque Country, Spain
Presentation Title: Estimating tree species composition with lidar and point-based deep learning [May 15, 2024] - Annual LiDAR/EFI Cross-Country Checkup, Canadian Forest Service (via Zoom)
Presentation Title: Estimating tree species composition with lidar and point-based deep learning [February 8, 2024] - Manitoba Hydro Contract Automated Land Use and Land Cover (LULC) Classification for Hydrological Modelling and Physically-Based Inflow Forecasting, Manitoba Hydro (via Zoom), Winnipeg MB
Presentation Title: Sub-project 1: Automated Historical LULC Map Production [June 11, 2020] - Department of Geography Lecture Series, University of Winnipeg, Winnipeg MB
Presentation Title: Monitoring Mangrove Alliances in Fiji Using Historical Data [October 9, 2019] - Randy Kobes Undergraduate Poster Symposium, University of Winnipeg, Winnipeg MB
Poster Title: Monitoring Mangrove Alliances in Fiji for Socio-Cultural Applications [September 18, 2019] - CSIRO SAR Community of Practice Meeting, Canberra, Australia
Presentation Title: Forest Structure Mapping Using Multi-Temporal Sentinel-1 RADAR Data in Robson Creek, Australia [June 11, 2019] - Department of Geography Undergraduate Thesis Colloquium, University of Winnipeg, Winnipeg, MB
Presentation Title: Forest Structure Mapping Using Multi-Temporal Sentinel-1 RADAR Data in Robson Creek, Australia [March 29, 2019]