Using an Unmanned Aerial Vehicle (UAV) to capture micro-topography of Antarctic moss beds. - Arko Lucieer; Darren Turner; Diana H. King; Sharon A. Robinson (Int. J. Appl. Earth Obs. Geoinformation, 2014)

Spatial Co-Registration of Ultra-High Resolution Visible, Multispectral and Thermal Images Acquired with a Micro-UAV over Antarctic Moss Beds. - Darren Turner; Arko Lucieer; Zbynek Malenovský; Diana H. King; Sharon A. Robinson (Remote. Sens., 2014)

Bayesian methods for comparing species physiological and ecological response curves. - Michael B. Ashcroft; Angélica Casanova-Katny; Kerrie L. Mengersen; Todd N. Rosenstiel; Johanna D. Turnbull; Jane Wasley; Melinda J. Waterman; Gustavo E. Zúñiga; Sharon A. Robinson (Ecol. Informatics, 2016)

Do Daily and Seasonal Trends in Leaf Solar Induced Fluorescence Reflect Changes in Photosynthesis, Growth or Light Exposure? - Rhys Wyber; Zbynek Malenovský; Michael B. Ashcroft; Barry Osmond; Sharon A. Robinson (Remote. Sens., 2017)

Optimizing Spectral and Spatial Resolutions of Unmanned Aerial System Imaging Sensors for Monitoring Antarctic Vegetation. - Darren Turner; Zbynek Malenovský; Arko Lucieer; Johanna D. Turnbull; Sharon A. Robinson (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

A Validated and Accurate Method for Quantifying and Extrapolating Mangrove Above-Ground Biomass Using LiDAR Data. - Rafaela B. Salum; Sharon A. Robinson; Kerrylee Rogers (Remote. Sens., 2021)

A Green Fingerprint of Antarctica: Drones, Hyperspectral Imaging, and Machine Learning for Moss and Lichen Classification. - Juan Sandino; Barbara Bollard; Ashray Doshi; Krystal Randall; Johan Barthélemy; Sharon A. Robinson; Felipe Gonzalez (Remote. Sens., 2023)

Monitoring of Antarctica's Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI. - Damini Raniga; Amarasingam Narmilan; Juan Sandino; Ashray Doshi; Johan Barthélemy; Krystal Randall; Sharon A. Robinson; Felipe Gonzalez; Barbara Bollard (Sensors, 2024)

Detection and mapping of Antarctic lichen using drones, multispectral cameras, and supervised deep learning. - Amarasingam Narmilan; Juan Sandino; Ashray Doshi; Diana H. King; Elka Blackman; Johan Barthélemy; Barbara Bollard; Sharon A. Robinson; Felipe Gonzalez (Int. J. Appl. Earth Obs. Geoinformation, 2025)