Special Issue "Geological Seafloor Mapping"
Deadline for manuscript submissions: closed (31 March 2019) | Viewed by 107008
Interests: marine geology; sediments; sediment dynamics; habitats; cold-water coral reefs; organic carbon; acoustic remote sensing; mapping; spatial prediction; supervised classification; GEOBIA
The ocean floor is vast, yet largely uncharted. Although an ambitious pledge was made to map the entire ocean floor by the year 2030, this only pertains to the bathymetry of the oceans. Mapping the geological makeup of the seafloor remains one of the great challenges in marine geoscience. Recent advances in data acquisition, processing, analysis and dissemination should, however, put us in a better position to deliver accurate and detailed maps of seafloor sediment and substratum types.
A significant part of the analysis rests on the acoustic backscatter intensity of the seafloor gathered with sidescan sonars and, more recently, multibeam echosounders (MBES). We have witnessed significant advances in this field of technology in recent years, including global efforts to standardise the collection and processing of calibrated backscatter data and the introduction of multispectral MBES for seafloor mapping. Such advances will ultimately lead to better maps of the geology of the seafloor and the distribution of benthic habitats.
Progress has also been made by introducing methods of image analysis, spatial prediction and machine learning, widely utilised in terrestrial mapping applications, to geological seafloor mapping. These methods have several advantages over traditional mapping ‘by eye’, including repeatability, time-savings, cost-effectiveness and the provision of estimates of accuracy. More recently, attempts have been made in spatially predicting quantitative sediment properties (e.g., grain-size composition) rather than sediment classes. Such studies can also shed light on the relationships between sediment properties and the marine environmental drivers that determine the distribution of sediments on the seafloor.
It is generally acknowledged that due to the high costs involved in collecting marine datasets we should ‘collect once, use many times’. Efficient systems for data search and retrieval make it now much easier to search for relevant datasets and download them from databases.
The aim of this Special Issue of Geosciences is to showcase the latest developments in the field of geological seafloor mapping. We specifically invite contributions addressing the following aspects:
- Studies assessing the potential of multispectral MBES for geological seafloor mapping
- Systematic and quantitative comparisons of mapping approaches
- The impact of spatial scale on mapping performance
- The assessment and communication of mapping uncertainty and confidence
- Quantification of the relationships between sediments and environmental drivers
- Quantification of the relationships between sediments, benthic organisms, and backscatter
- Case studies from local to global scales making innovative use of legacy data from data repositories
Dr. Markus Diesing
Dr. Peter Feldens
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 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.
- Marine geology
- Seafloor mapping
- Benthic habitats
- Multibeam echosounder
- Acoustic backscatter
- Spatial prediction
- Image analysis
- Machine learning
- Spatial scale
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