Progress in Seafloor Mapping
A special issue of Geosciences (ISSN 2076-3263).
Deadline for manuscript submissions: 31 May 2024 | Viewed by 430
Special Issue Editors
2. Coastal Processes and Ecosystems (CaPE) Laboratory, Center for Coastal Studies, 5 Holway Ave, Provincetown, MA 02657, USA
Interests: coastal sediment transport; tidal inlets; seafloor mapping
Interests: autonomous underwater vehicles for seafloor mapping
Special Issue Information
Dear Colleagues,
Ocean and coastal seafloor mapping are critical to our understanding of the processes that shape these areas and help us better understand possible future landform evolution. The impacts of climate change include sea level rise, increasing storm intensities, and anthropogenic alteration. This Special Issue invites papers using sensors, techniques, and platforms for seafloor mapping, as well as those that use the latest seafloor mapping data.
Sensors, Techniques, and Platforms:
- Acoustic: Side-scan imagery, bathymetry, backscatter, and seismic reflection profiling;
- Optical: bathymetric lidar, UAS imagery, structure from motion, and satellite;
- Modeling: wave, near-shore bathymetry, etc.;
- Multi-modal studies;
- Machine and deep learning and AI;
- Crewed and uncrewed vessels, autonomous surface vessels and autonomous underwater vessels and gliders.
Studies with state-of-the-art seafloor mapping techniques concern:
- Sediment transport;
- Tidal inlets;
- Barrier islands and spits;
- Salt marsh and submerged aquatic vegetation;
- Mangroves and rocky coasts;
- Continental shelf and slope processes;
- Benthic habitat studies;
- Application of CMECS and other classification systems for seafloor mapping;
- Anthropogenic alterations;
- Siting of wind, wave, and tidal energy projects;
- Marine debris;
- Unexploded ordnance.
Dr. Mark Borrelli
Dr. Arthur Trembanis
Dr. Bryan A. Oakley
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Geosciences is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Mapping Seafloor Sediment Distributions using Machine Learning and Public Geospatial Data to Support Regional Offshore Renewable Energy Development
Authors: Connor Capizzano1; Alex Rhoads1; Jenn Croteau1; Ben Taylor1; Marisa Guarinello1; Emily Shumchenia2
Affiliation: 1 INSPIRE Environmental Inc., 513 Broadway, Suite 314, Newport, RI 02840
2 Northeast Regional Ocean Council (NROC), 50 F Street NW, Suite 750, Washington DC, 20001
Abstract: As offshore wind development continues to gain momentum in the United States, responsible data-informed management requires the synthesis of diverse datasets at regional scales to accurately assess and mitigate potential cumulative effects. However, geophysical and benthic assessment data are often limited and, when available, require significant synthesis, analysis, and interpretation to support decision-making activities. In this paper, publicly available marine geospatial data were used to illustrate the utility of the national classification standard (i.e., CMECS) and machine learning techniques for mapping sediment type distributions and informing stakeholders during the offshore wind energy development process.
Title: Application of the Coastal Marine Ecosystem Classification System (CMECS) to Create Benthic Geologic Habitat Maps for portions of Acadia National Park, Maine, USA
Author: Oakley
Highlights: - New benthic habitat mapping in portions of Acadia National Park
- Application of the CMECS classification system to rocky intertidal and shallow sub-tidal habitats
Title: IMPROVING BENTHIC HABITAT MAPPING WITH LOW-COST IMAGERY: AN APPLICATION OF THE COASTAL AND MARINE ECOLOGICAL CLASSIFICATION STANDARD (CMECS)
Author: Mittermayr
Highlights: benthic imagery, benthic habitat mapping, CMECS
Title: An inter-method comparison of drones, airplanes, satellites, and side scan sonar for eelgrass (Zostera marina) mapping
Author: Carr
Highlights: The manuscript will provide a list of management recommendations to fill scientific and regulatory gaps.
Title: Shallow-water bathymetry in a constant sound speed gradient
Author: Foote
Highlights: Bathymetry by a high-frequency phase-measuring sidescan sonar is subject to error or uncertainty when the water column is non-isovelocity. This situation is examined for a constant-gradient sound speed profile, thus enabling the uncertainty to be bound.
