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)

Preprocessing Ground-Based Visible/Near Infrared Imaging Spectroscopy Data Affected by Smile Effects. - Henning Buddenbaum; Michael S. Watt; Rebecca C. Scholten; Joachim Hill (Sensors, 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)

A Mixed Methods Approach for Fuel Characterisation in Gorse (Ulex europaeus L.) Scrub from High-Density UAV Laser Scanning Point Clouds and Semantic Segmentation of UAV Imagery. - Robin J. L. Hartley; Sam J. Davidson; Michael S. Watt; Peter D. Massam; Samuel Aguilar-Arguello; Katharine O. Melnik; H. Grant Pearce; Veronica R. Clifford (Remote. Sens., 2022)

Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics. - Ewane Basil Ewane; Midhun Mohan; Shaurya Bajaj; G. A. Pabodha Galgamuwa; Michael S. Watt; Pavithra S. Pitumpe Arachchige; Andrew T. Hudak; Gabriella Richardson; Nivedhitha Ajithkumar; Shruthi Srinivasan; Ana Paula Dalla Corte; Daniel J. Johnson; et al. (Remote. Sens., 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 Detection of Myrtle Rust on Pōhutukawa Using Indices Derived from Hyperspectral and Thermal Imagery. - Michael S. Watt; Honey Jane Estarija; Michael Bartlett; Russell Main; Dalila Pasquini; Warren Yorston; Emily McLay; Maria Zhulanov; Kiryn Dobbie; Katherine Wardhaugh; Zulfikar Hossain; Stuart Fraser; et al. (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)

Current Status of Remote Sensing for Studying the Impacts of Hurricanes on Mangrove Forests in the Coastal United States. - Abhilash Dutta Roy; Daria Agnieszka Karpowicz; Ian Hendy; Stefanie M. Rog; Michael S. Watt; Ruth Reef; Eben North Broadbent; Emma Asbridge; Amare Gebrie; Tarig Ali; Midhun Mohan (Remote. Sens., 2024)