A review of new and existing non-extractive techniques for monitoring marine protected areas

R McGeady, RM Runya, JSG Dooley… - Frontiers in Marine …, 2023 - frontiersin.org
Ocean biodiversity loss is being driven by several anthropogenic threats and significant
efforts are required to halt losses and promote healthy marine ecosystems. The …

[HTML][HTML] Underwater hyperspectral imaging (UHI): A review of systems and applications for proximal seafloor ecosystem studies

JC Montes-Herrera, E Cimoli, V Cummings, N Hill… - Remote sensing, 2021 - mdpi.com
Marine ecosystem monitoring requires observations of its attributes at different spatial and
temporal scales that traditional sampling methods (eg, RGB imaging, sediment cores) …

BIIGLE 2.0-browsing and annotating large marine image collections

D Langenkämper, M Zurowietz, T Schoening… - Frontiers in Marine …, 2017 - frontiersin.org
Combining state-of-the art digital imaging technology with different kinds of marine
exploration techniques such as modern autonomous underwater vehicle (AUV), remote …

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 …

[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 …

[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 …

[HTML][HTML] Enduring science: three decades of observing the Northeast Atlantic from the Porcupine Abyssal Plain Sustained Observatory (PAP-SO)

SE Hartman, BJ Bett, JM Durden, SA Henson… - Progress in …, 2021 - Elsevier
Until the 1980s, the deep sea was generally considered to be a particularly stable
environment, free from major temporal variations (Sanders, 1968). Studies in the abyssal …

MAIA—A machine learning assisted image annotation method for environmental monitoring and exploration

M Zurowietz, D Langenkämper, B Hosking, HA Ruhl… - PloS one, 2018 - journals.plos.org
Digital imaging has become one of the most important techniques in environmental
monitoring and exploration. In the case of the marine environment, mobile platforms such as …

Automated identification of benthic epifauna with computer vision

N Piechaud, C Hunt, PF Culverhouse… - Marine Ecology …, 2019 - int-res.com
Benthic ecosystems are chronically undersampled, particularly in environments> 50 m
depth. Yet a rising level of anthropogenic threats makes data collection ever more urgent …

[HTML][HTML] Fast and accurate map** of fine scale abundance of a VME in the deep sea with computer vision

N Piechaud, KL Howell - Ecological Informatics, 2022 - Elsevier
With growing anthropogenic pressure on deep-sea ecosystems, large quantities of data are
needed to understand their ecology, monitor changes over time and inform conservation …