Global observing needs in the deep ocean

LA Levin, BJ Bett, AR Gates, P Heimbach… - Frontiers in Marine …, 2019 - frontiersin.org
The deep ocean below 200 m water depth is the least observed, but largest habitat on our
planet by volume and area. Over 150 years of exploration has revealed that this dynamic …

Environmental impacts of the deep-water oil and gas industry: a review to guide management strategies

EE Cordes, DOB Jones, TA Schlacher… - Frontiers in …, 2016 - frontiersin.org
The industrialization of the deep sea is expanding worldwide. Increasing oil and gas
exploration activities in the absence of sufficient baseline data in deep-sea ecosystems has …

New high-tech flexible networks for the monitoring of deep-sea ecosystems

J Aguzzi, D Chatzievangelou, S Marini… - … science & technology, 2019 - ACS Publications
Increasing interest in the acquisition of biotic and abiotic resources from within the deep sea
(eg, fisheries, oil–gas extraction, and mining) urgently imposes the development of novel …

[HTML][HTML] Autonomous marine environmental monitoring: Application in decommissioned oil fields

DOB Jones, AR Gates, VAI Huvenne, AB Phillips… - Science of the total …, 2019 - Elsevier
Abstract Hundreds of Oil & Gas Industry structures in the marine environment are
approaching decommissioning. In most areas decommissioning operations will need to be …

[HTML][HTML] Effectiveness of a deep-sea cold-water coral Marine Protected Area, following eight years of fisheries closure

VAI Huvenne, BJ Bett, DG Masson, TP Le Bas… - Biological …, 2016 - Elsevier
Pressure on deep-sea ecosystems continues to increase as anthropogenic activities move
into ever deeper waters. To mitigate impacts on vulnerable habitats, various conservation …

Perspectives in visual imaging for marine biology and ecology: from acquisition to understanding

JM Durden, T Schoening, F Althaus… - … and Marine Biology, 2016 - taylorfrancis.com
JENS GREINERT3, NANCY JACOBSEN STOUT8, DANIEL OB JONES1, ANNE JORDT3,
JEFFREY W. KAELI9, KEVIN KÖSER3, LINDA A. KUHNZ8, DHUGAL LINDSAY10, KIRSTY …

Marine organism detection and classification from underwater vision based on the deep CNN method

F Han, J Yao, H Zhu, C Wang - Mathematical Problems in …, 2020 - Wiley Online Library
Seabed fishing depends on humans in common, for instance, the sea cucumber, sea urchin,
and scallop fishing, which is always a very dangerous task. Considering the underwater …

[HTML][HTML] Megafaunal variation in the abyssal landscape of the Clarion Clipperton Zone

E Simon-Lledó, BJ Bett, VAI Huvenne… - Progress in …, 2019 - Elsevier
The potential for imminent polymetallic nodule mining in the Clarion Clipperton Fracture
Zone (CCZ) has attracted considerable scientific and public attention. This concern stems …

Ecology of a polymetallic nodule occurrence gradient: Implications for deep‐sea mining

E Simon‐Lledó, BJ Bett, VAI Huvenne… - Limnology and …, 2019 - Wiley Online Library
Abyssal polymetallic nodule fields constitute an unusual deep‐sea habitat. The mix of soft
sediment and the hard substratum provided by nodules increases the complexity of these …

[HTML][HTML] Automated classification of fauna in seabed photographs: The impact of training and validation dataset size, with considerations for the class imbalance

JM Durden, B Hosking, BJ Bett, D Cline… - Progress in …, 2021 - Elsevier
Abstract Machine learning is rapidly develo** as a tool for gathering data from imagery
and may be useful in identifying (classifying) visible specimens in large numbers of seabed …