Advances in imaging for marine biology: tools and applications


ORGANIZED BY

Armando

Armando Macali

Department of Ecological and Biological Sciences, Tuscia University


ABSTRACT

Marine imaging and related approaches are modern tools which allow answering complex ecological, evolutionary – and more generally biological – questions. These tools can be applied to a broad range of spatial scales from intraspecific phenotypic variation at a given site to regional- and global- scale variation in functional and ecological traits. Robust ecological studies are now possible thanks to developments in both image acquisition devices (e.g., new cameras and sensors, lighting systems) and analytical tools (e.g., statistical tools and their software implementations). The recent uptake of deep learning-based approaches and multispectral image analysis is a further example of how biological and underwater imaging are consolidating their role as non-destructive tools to study life in the oceans.
In this special session, both methodological and empirical contributions addressing biological questions using marine imaging and related approaches are welcome.


ABOUT THE ORGANIZERS

Armando Macali holds a PhD in Evolutionary Ecology and he is a Research Fellow at the Department of Ecological and Biological Sciences, Tuscia University. He has broad research interests, with a substantial focus on marine biodiversity. A current area of research is related to the evolutionary significant of phenotypic plasticity, with a special emphasis on behaviour and adaptive coloration and camouflage in marine species.

With the Patronage of


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Comune di Milazzo
guardia_costiera
INRiM
CNR
ISPRA
MuMa
INRiM
Area Marina Protetta - Capo Milazzo
University of Messina
Mediterranea University of Reggio Calabria
DIIES
University of Bari
unisannio
unige
univmalta
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Polytechnic University of Catalonia
University of Lisbon - Faculty of Sciences
Gdynia Maritime University
Aristotle University of Thessaloniki - Physics Department, Electronics Lab
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shom
shom
conisma
ihs
Eurofleets
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gmee
gmmt


Sponsored By


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DIIES
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sensors
Remote Sensing
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