1. Detecting shifts of submarine sediment boundaries using side-scan mosaics and GIS analyses
- Author
-
Alexander Bartholomae, Svenja Papenmeier, H. Christian Hass, Vera Fofonova, Karen Helen Wiltshire, and Daphnie Galvez
- Subjects
Shore ,geography ,geography.geographical_feature_category ,010504 meteorology & atmospheric sciences ,Submarine ,Sediment ,Geology ,010502 geochemistry & geophysics ,Oceanography ,01 natural sciences ,Seafloor spreading ,Boundary (real estate) ,Geochemistry and Petrology ,Geological survey ,14. Life underwater ,Reef ,Geomorphology ,Change detection ,0105 earth and related environmental sciences - Abstract
Detecting changes of sediment boundaries on the seafloor is important for a better understanding of sediment dynamics and related impacts to benthic habitats. Side-scan sonars (SSS) perform more cost-effectively in shallow waters than other acoustic systems because of their larger swath widths, and the resolution of its images does not change with varying water depth. However, as they are generally towed behind the survey vessel, they tend to have lower positioning accuracy, which makes them unreliable for change detection analyses. In this study, we present a workflow that processes SSS data in a way that makes them fit for change detection analyses. To test the capacity of SSS mosaics for change detection, we used a free software called “Digital Shoreline Analysis System”, which was developed by the United States Geological Survey for ArcGIS version 10.4 onwards. The methods were applied in three areas in the Sylt Outer Reef, German Bight, North Sea. Our results showed that with appropriate processing, SSS mosaics could be used for change detection of sharp sediment boundaries. We found a common trend in the sediment distribution patterns of coarse sediments by monitoring the movement of their boundaries. The boundaries moved in northeast-southwest direction and boundary movements of less than 20 m were typically observed. The methods presented here are semi-automated, repeatable, and replicable, which has potential for wide-scale monitoring of sediment distribution patterns.
- Published
- 2020