Results 101 to 110 of about 14,342 (223)

Seafloor morphology and substrate mapping in the Gulf of St Lawrence, Canada, using machine learning approaches

Frontiers in Marine Science
Detailed maps of seafloor substrata and morphology can act as valuable proxies for predicting and understanding the distributions of benthic communities and are important for guiding conservation initiatives.
Emily Sklar, Esther Bushuev, Benjamin Misiuk, Benjamin Misiuk, Benjamin Misiuk, Guillaume Labbé-Morissette, Craig J. Brown   +6 more
doaj   +1 more source

Geomorphological patterns and sedimentary facies in a modern mixed carbonate-siliciclastic lagoon (New Caledonia)

Journal of Maps
The New Caledonian lagoon is of particular interest for studying the controls on mixed carbonate–siliciclastic sedimentation. The large southwestern lagoon is bordered by a massive barrier reef only interrupted by few passes, while the narrower and ...
Elsa Tournadour, Axel Ehrhold, Pascal Le Roy, Samuel Etienne, Stephan J. Jorry, Gwenael Jouet, Julien Collot, Martin Patriat, Charline Guérin, Guillaume Michel, Camille Decultot, Etienne Tertrais, Nadège Champilou   +12 more
doaj   +1 more source

Quantifying uncertainty in foraminifera classification: How deep learning methods compare to human experts

Artificial Intelligence in Geosciences
Foraminifera are shell-bearing microorganisms that are commonly found in marine deposits on the seabed. They are important indicators in many analyses, are used in climate change research, monitoring marine environments, evolutionary studies, and are ...
Iver Martinsen, Steffen Aagaard Sørensen, Samuel Ortega, Fred Godtliebsen, Miguel Tejedor, Eirik Myrvoll-Nilsen   +5 more
doaj   +1 more source

Research on the classification of seabed sediments sonar images based on MoCo self-supervised learning

Journal of Physics: Conference Series
Abstract The discrimination of seafloor substrate type is an extremely important part of seafloor science, and the substrate information is of great significance for the development of marine science and the protection of the marine environment.
Y Yang, Y B Wang, Z Y Yang, J Yang, L Deng   +4 more
openaire   +1 more source

Seabed acoustic classification in the Pelotas basin, Brazil

Brazilian Journal of Oceanography, 2013
The present study sought to develop a seabed map of the region of the Pelotas Basin using acoustic methods. A total number of 1,507,823 seabed reflectivity data, collected during six oceanographic surveys, were processed to generate a seabed map.
Paloma Lumi Costa, Lauro A. Saint Pastous Madureira, Marcelo Peres de Pinho   +2 more
doaj  

The expedition ARKTIS XIX/3 of the research vessel POLARSTERN in 2003 : reports of legs 3a, 3b and 3c [PDF]

, 2004
Foucher, J., Klages, Michael, Thiede, Jörn   +2 more
core   +1 more source

Acoustic seabed classification applied to Baltic benthic habitat studies: a new approach

Oceanologia, 2007
The application of acoustic methods for the classification of bottomhabitats is based mostly on the analysis of measured parameters without relating them to the bathymetric structure.
Andrzej Orłowski
doaj  

Studies into the detection of buried objects (particularly optical fibres) in saturated sediment. Part 2: design and commissioning of test tank

, 2007
This report is the second in a series of five, designed to investigate the detection oftargets buried in saturated sediment, primarily through acoustical or acoustics-relatedmethods.
Evans, R.C.P., Leighton, T.G.
core  

The importance of benchmarking habitat structure and composition for understanding the extent of fishing impacts in soft sediment ecosystems [PDF]

, 2014
Bradley, Anna, Brown, Stephen N., Cairney, Daniel J., Carter, Megan E., Cole, Russell G., Handley, Sean J., Willis, Trevor J   +6 more
core   +1 more source

Sediment vs Topographic Roughness: Antropogenic Effects on Acoustic Seabed Classification [PDF]

Hydro12 - Taking care of the sea, 2012
openaire   +1 more source