Arko Lucieer
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Associate Professor in Remote Sensing
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About
Dr. Arko Lucieer is an Associate Professor in Remote Sensing at the University of Tasmania, Australia. His research focuses on integrating terrestrial and aerial laser scanning techniques, remote sensing applications in biodiversity, and the analysis of vegetation cover using advanced imaging methods. Recent publications include works on the impact of fire on Eucalyptus forests, the application of multispectral satellite imagery, and high-resolution mapping of environmental factors.
Recent Grants
Grant: Close
Proof of Concept (Sony)
Open Date: 2018-01-01
Close Date: 2018-01-01
Grant: Close
Precision and accuracy of Unmanned Aircraft System (UAS) positioning with SBAS, SBAS DFMC and PPP - Application in Precision Agriculture: Project Demonstrator 8103
Open Date: 2018-01-01
Close Date: 2018-01-01
Grant: Close
Ultrahigh-resolution remote sensing for assessing biodiversity hotspots
Open Date: 2018-01-01
Close Date: 2020-01-01
Grant: Close
Sensor calibration facility for spectral and thermal remote sensing
Open Date: 2018-01-01
Close Date: 2018-01-01
Grant: Close
Sensor calibration facility for spectral and thermal remote sensing
Open Date: 2018-01-01
Close Date: 2018-01-01
Articles (23)
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2025
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2025
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2025
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2025
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2025
Crustose coralline algae (CCA) are a highly diverse group of habitat‐forming, calcifying red macroalgae (Rhodophyta) with unique adaptations to diverse irradiance regimes. A distinctive CCA phenotype adaptation, which allows them to maximize photosynthetic performance in low light, is their content of a specific group of light‐harvesting pigments called phycobilins. In this study, we assessed the potential of noninvasive hyperspectral imaging (HSI) in the visible spectrum (400–800 nm) to describe the phenotypic variability in phycobilin content of an Antarctic coralline, Tethysphytum antarcticum (Hapalidiales), from two distinct locations. We validated our measurements with pigment extractions and spectrophotometry analysis, in addition to DNA barcoding using the psb A marker. Targeted spectral indices were developed and correlated with phycobilin content using linear mixed models ( R 2 = 0.64–0.7). Once applied to the HSI, the models revealed the distinct phycoerythrin spatial distribution in the two site‐specific CCA phenotypes, with thin and thick crusts, respectively. This study advances the capabilities of hyperspectral imaging as a tool to quantitatively study CCA pigmentation in relation to their phenotypic plasticity, which can be applied in laboratory studies and potentially in situ surveys using underwater hyperspectral imaging systems.
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2024
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2024
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2024
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2024
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2024
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2024
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2023
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2023
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2023
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2023
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2023
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2023
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2022
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2022
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2022
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2022
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2021
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2021
Collaborators (9)
Vanessa Lucieer
-
Kim Calders
Ghent University
Stuart Phinn
Professor
University of Queensland
Gustavo Togeiro de Alckmin
Lecturer and Research Fellow
University of Melbourne
Timothy J. Brodribb
-
Lynda D. Prior
University of Tasmania
Maurice Leponce
Université libre de Bruxelles
Zbyněk Malenovský
Chair Proffesorship at Remote Sensing Research Group | Spokesperson of Center for Land Surface Remote Sensing
University of Bonn
David Bowman
Research Proferssor
University of Tasmania
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