Arko Lucieer

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Associate Professor in Remote Sensing

University of Tasmania
Country flagAustralia

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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

-

AUSTRALIA
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Kim Calders

Ghent University

BELGIUM
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Stuart Phinn

Professor

University of Queensland

AUSTRALIA
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Gustavo Togeiro de Alckmin

Lecturer and Research Fellow

University of Melbourne

AUSTRALIA
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Timothy J. Brodribb

-

AUSTRALIA
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Lynda D. Prior

University of Tasmania

AUSTRALIA
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Maurice Leponce

Université libre de Bruxelles

BELGIUM
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Zbyněk Malenovský

Chair Proffesorship at Remote Sensing Research Group | Spokesperson of Center for Land Surface Remote Sensing

University of Bonn

GERMANY
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David Bowman

Research Proferssor

University of Tasmania

AUSTRALIA
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