Michael S. Watt

15 papers C 1Journal 14
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
Current Status of Remote Sensing for Studying the Impacts of Hurricanes on Mangrove Forests in the Coastal United States.
Remote. Sens.
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
2024 J jnl
Early Detection of Myrtle Rust on Pōhutukawa Using Indices Derived from Hyperspectral and Thermal Imagery.
Remote. Sens.
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, Henning Buddenbaum
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
Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics.
Remote. Sens.
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, Eben North Broadbent, Sergio de-Miguel, Margherita Bruscolini, Derek J. N. Young, Shahid Shafai, Meshal M. Abdullah, Wan Shafrina Wan Mohd Jaafar, Willie Doaemo, Carlos Alberto Silva, Adrián Cardil
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
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.
Remote. Sens.
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
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
2019 J jnl
Preprocessing Ground-Based Visible/Near Infrared Imaging Spectroscopy Data Affected by Smile Effects.
Sensors
Henning Buddenbaum, Michael S. Watt, Rebecca C. Scholten, Joachim Hill
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