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2020 – today
- 2024
[j10]Nicolò Camarretta
, Grant D. Pearse, Benjamin S. C. Steer, Emily McLay, Stuart Fraser, Michael S. Watt:
Automatic Detection of Phytophthora pluvialis Outbreaks in Radiata Pine Plantations Using Multi-Scene, Multi-Temporal Satellite Imagery. Remote. Sens. 16(2): 338 (2024)- [j9]Michael S. Watt, Andrew Holdaway, Pete Watt, Grant D. Pearse, Melanie E. Palmer, Benjamin S. C. Steer, Nicolò Camarretta, Emily McLay, Stuart Fraser:
Early Prediction of Regional Red Needle Cast Outbreaks Using Climatic Data Trends and Satellite-Derived Observations. Remote. Sens. 16(8): 1401 (2024) - 2023
- [j8]Sadeepa Jayathunga, Grant D. Pearse, Michael S. Watt:
Unsupervised Methodology for Large-Scale Tree Seedling Mapping in Diverse Forestry Settings Using UAV-Based RGB Imagery. Remote. Sens. 15(22): 5276 (2023) - [i1]Stefano Puliti, Grant D. Pearse, Peter Surový, Luke Wallace, Markus Hollaus, Maciej Wielgosz, Rasmus Astrup:
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees. CoRR abs/2309.01279 (2023) - 2022
- [j7]Robin J. L. Hartley, Sadeepa Jayathunga, Peter D. Massam, Dilshan De Silva, Honey Jane Estarija, Sam J. Davidson, Adedamola Wuraola, Grant D. Pearse:
Assessing the Potential of Backpack-Mounted Mobile Laser Scanning Systems for Tree Phenotyping. Remote. Sens. 14(14): 3344 (2022) - 2021
- [j6]Grant D. Pearse, Michael S. Watt, Julia Soewarto, Alan Yu Shyang Tan:
Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response. Remote. Sens. 13(9): 1789 (2021) - [c1]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:
A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties. IGARSS 2021: 728-730 - 2020
- [j5]Robin J. L. Hartley, Ellen Mae Leonardo, Peter D. Massam, Michael S. Watt, Honey Jane Estarija, Liam Wright, Nathanael Melia, Grant D. Pearse:
An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials. Remote. Sens. 12(24): 4039 (2020)
2010 – 2019
- 2019
- [j4]Grant D. Pearse, Michael S. Watt, Jonathan P. Dash, Christine Stone, Gabriele Caccamo:
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 78: 341-351 (2019) - [j3]Jonathan P. Dash, Michael S. Watt, Thomas S. H. Paul, Justin Morgenroth, Grant D. Pearse:
Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data. Remote. Sens. 11(15): 1812 (2019) - 2018
- [j2]Jonathan P. Dash, Grant D. Pearse, Michael S. Watt:
UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health. Remote. Sens. 10(8): 1216 (2018) - 2017
- [j1]Jonathan P. Dash, Grant D. Pearse, Michael S. Watt, Thomas S. H. Paul:
Combining Airborne Laser Scanning and Aerial Imagery Enhances Echo Classification for Invasive Conifer Detection. Remote. Sens. 9(2): 156 (2017)
Coauthor Index
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