Grant D. Pearse

12 papers C 1Journal 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Automatic Detection of Phytophthora pluvialis Outbreaks in Radiata Pine Plantations Using Multi-Scene, Multi-Temporal Satellite Imagery.
Remote. Sens.
Nicolò Camarretta, Grant D. Pearse, Benjamin S. C. Steer, Emily McLay, Stuart Fraser, Michael S. Watt
2024 J jnl
Early Prediction of Regional Red Needle Cast Outbreaks Using Climatic Data Trends and Satellite-Derived Observations.
Remote. Sens.
Michael S. Watt, Andrew Holdaway, Pete Watt, Grant D. Pearse, Melanie E. Palmer, Benjamin S. C. Steer, Nicolò Camarretta, Emily McLay, Stuart Fraser
2023 J jnl
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees.
CoRR
Stefano Puliti, Grant D. Pearse, Peter Surový, Luke Wallace, Markus Hollaus, Maciej Wielgosz, Rasmus Astrup
2023 J jnl
Unsupervised Methodology for Large-Scale Tree Seedling Mapping in Diverse Forestry Settings Using UAV-Based RGB Imagery.
Remote. Sens.
Sadeepa Jayathunga, Grant D. Pearse, Michael S. Watt
2022 J jnl
Assessing the Potential of Backpack-Mounted Mobile Laser Scanning Systems for Tree Phenotyping.
Remote. Sens.
Robin J. L. Hartley, Sadeepa Jayathunga, Peter D. Massam, Dilshan De Silva, Honey Jane Estarija, Sam J. Davidson, Adedamola Wuraola, Grant D. Pearse
2021 C conf
A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties.
IGARSS
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
2021 J jnl
Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response.
Remote. Sens.
Grant D. Pearse, Michael S. Watt, Julia Soewarto, Alan Yu Shyang Tan
2020 J jnl
An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials.
Remote. Sens.
Robin J. L. Hartley, Ellen Mae Leonardo, Peter D. Massam, Michael S. Watt, Honey Jane Estarija, Liam Wright, Nathanael Melia, Grant D. Pearse
2019 J jnl
Comparison of models describing forest inventory attributes using standard and voxel-based lidar predictors across a range of pulse densities.
Int. J. Appl. Earth Obs. Geoinformation
Grant D. Pearse, Michael S. Watt, Jonathan P. Dash, Christine Stone, Gabriele Caccamo
2019 J jnl
Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data.
Remote. Sens.
Jonathan P. Dash, Michael S. Watt, Thomas S. H. Paul, Justin Morgenroth, Grant D. Pearse
2018 J jnl
UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health.
Remote. Sens.
Jonathan P. Dash, Grant D. Pearse, Michael S. Watt
2017 J jnl
Combining Airborne Laser Scanning and Aerial Imagery Enhances Echo Classification for Invasive Conifer Detection.
Remote. Sens.
Jonathan P. Dash, Grant D. Pearse, Michael S. Watt, Thomas S. H. Paul