Combining Airborne Laser Scanning and Aerial Imagery Enhances Echo Classification for Invasive Conifer Detection. - Jonathan P. Dash; Grant D. Pearse; Michael S. Watt; Thomas S. H. Paul (Remote. Sens., 2017)

UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health. - Jonathan P. Dash; Grant D. Pearse; Michael S. Watt (Remote. Sens., 2018)

Comparison of models describing forest inventory attributes using standard and voxel-based lidar predictors across a range of pulse densities. - Grant D. Pearse; Michael S. Watt; Jonathan P. Dash; Christine Stone; Gabriele Caccamo (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data. - Jonathan P. Dash; Michael S. Watt; Thomas S. H. Paul; Justin Morgenroth; Grant D. Pearse (Remote. Sens., 2019)

An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials. - Robin J. L. Hartley; Ellen Mae Leonardo; Peter D. Massam; Michael S. Watt; Honey Jane Estarija; Liam Wright; Nathanael Melia; Grant D. Pearse (Remote. Sens., 2020)

A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties. - Stefano Puliti; Grant D. Pearse; Michael S. Watt; Edward T. A. Mitchard; Iain McNicol; Magnus Bremer; Martin Rutzinger; Peter Surový; Luke Wallace; Markus Hollaus; Rasmus Astrup (IGARSS, 2021)

Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response. - Grant D. Pearse; Michael S. Watt; Julia Soewarto; Alan Yu Shyang Tan (Remote. Sens., 2021)

Assessing the Potential of Backpack-Mounted Mobile Laser Scanning Systems for Tree Phenotyping. - Robin J. L. Hartley; Sadeepa Jayathunga; Peter D. Massam; Dilshan De Silva; Honey Jane Estarija; Sam J. Davidson; Adedamola Wuraola; Grant D. Pearse (Remote. Sens., 2022)

FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees. - Stefano Puliti; Grant D. Pearse; Peter Surový; Luke Wallace; Markus Hollaus; Maciej Wielgosz; Rasmus Astrup (CoRR, 2023)

Unsupervised Methodology for Large-Scale Tree Seedling Mapping in Diverse Forestry Settings Using UAV-Based RGB Imagery. - Sadeepa Jayathunga; Grant D. Pearse; Michael S. Watt (Remote. Sens., 2023)

Automatic Detection of Phytophthora pluvialis Outbreaks in Radiata Pine Plantations Using Multi-Scene, Multi-Temporal Satellite Imagery. - Nicolò Camarretta; Grant D. Pearse; Benjamin S. C. Steer; Emily McLay; Stuart Fraser; Michael S. Watt (Remote. Sens., 2024)

Early Prediction of Regional Red Needle Cast Outbreaks Using Climatic Data Trends and Satellite-Derived Observations. - Michael S. Watt; Andrew Holdaway; Pete Watt; Grant D. Pearse; Melanie E. Palmer; Benjamin S. C. Steer; Nicolò Camarretta; Emily McLay; Stuart Fraser (Remote. Sens., 2024)