UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health

by Jonathan P. Dash, Grant D. Pearse, Michael S. Watt
Published 2018-08-01

Combining Airborne Laser Scanning and Aerial Imagery Enhances Echo Classification for Invasive Conifer Detection

by Jonathan P. Dash, Grant D. Pearse, Michael S. Watt, Thomas Paul
Published 2017-02-01

Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response

by Grant D. Pearse, Michael S. Watt, Julia Soewarto, Alan Y. S. Tan
Published 2021-05-01

Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data

by Jonathan P. Dash, Michael S. Watt, Thomas S. H. Paul, Justin Morgenroth, Grant D. Pearse
Published 2019-08-01

Forest-Scale Phenotyping: Productivity Characterisation Through Machine Learning

by Maxime Bombrun, Jonathan P. Dash, David Pont, Michael S. Watt, Grant D. Pearse, Heidi S. Dungey
Published 2020-03-01

An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials

by Robin J. L. Hartley, Ellen Mae Leonardo, Peter Massam, Michael S. Watt, Honey Jane Estarija, Liam Wright, Nathanael Melia, Grant D. Pearse
Published 2020-12-01