When Imagery and Physical Sampling Work Together: Toward an Integrative Methodology of Deep-Sea Image-Based Megafauna Identification

Imagery has become a key tool for assessing deep-sea megafaunal biodiversity, historically based on physical sampling using fishing gears. Image datasets provide quantitative and repeatable estimates, small-scale spatial patterns and habitat descriptions. However, taxon identification from images is...

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Autores principales:	Mélissa Hanafi-Portier, Sarah Samadi, Laure Corbari, Tin-Yam Chan, Wei-Jen Chen, Jhen-Nien Chen, Mao-Ying Lee, Christopher Mah, Thomas Saucède, Catherine Borremans, Karine Olu
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	deep-sea megafauna image-based identification biodiversity assessment identification keys integrative methodology towed camera Science Q General. Including nature conservation, geographical distribution QH1-199.5
Acceso en línea:	https://doaj.org/article/e5bf75a143a947169bcb5e381cd1ec72
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When Imagery and Physical Sampling Work Together: Toward an Integrative Methodology of Deep-Sea Image-Based Megafauna Identification

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