Abstract
With the increasing human activities in the marine environment, such as fisheries, dredging, coastal protection or construction of marine infrastructure, seabed sediment and habitat mapping have become highly relevant for the development of sustainable marine management strategies. Compared to traditional mapping methods, primarily based on bed sampling, multibeam echosounding belongs to the cutting-edge technology to time-efficiently acquire high-resolution bathymetric and backscatter (BS) data over large areas. Using classification methods to combine the acoustic data with ground-truthing, large-scale maps can be automatically and objectively produced, that enables to describe the distribution of benthic habitats or quantify marine resources. However, acoustic sediment classification still does not allow to discriminate between the entire heterogeneity of the seabed and is generally applied to a single multibeam echosounder dataset by means of revealing the seabed state only at a given time instant. Two challenging issues addressed within the scope of this thesis are summarized as: (1) Investigation on the applicability of repetitive multibeam (single-frequency) BS measurements for monitoring the seabed; and (2) Evaluation of the potential of multispectral BS to increase the acoustic discrimination between different seabed environments.
| Original language | English |
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| Qualification | Doctor of Philosophy |
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| Award date | 10 Sept 2020 |
| Print ISBNs | 978-94-028-2129-1 |
| DOIs | |
| Publication status | Published - 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
Keywords
- Multibeam echosounder
- acoustic backscatter
- sediment classification
- habitat mapping
- multispectral
- coastal monitoring
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Dive into the research topics of 'Acoustic mapping and monitoring of the seabed: From single-frequency to multispectral multibeam backscatter'. Together they form a unique fingerprint.Research output
- 5 Article
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Mapping the seabed and shallow subsurface with multi-frequency multibeam echosounders
Gaida, T. C., Mohammadloo, T. H., Snellen, M. & Simons, D. G., 2020, In: Remote Sensing. 12, 1, 24 p., 52.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile54 Link opens in a new tab Citations (Scopus)223 Downloads (Pure) -
Monitoring underwater nourishments using multibeam bathymetric and backscatter time series
Gaida, T. C., van Dijk, T. A. G. P., Snellen, M., Vermaas, T., Mesdag, C. & Simons, D. G., 2020, In: Coastal Engineering. 158, 16 p., 103666.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile20 Link opens in a new tab Citations (Scopus)211 Downloads (Pure) -
A multispectral bayesian classification method for increased acoustic discrimination of seabed sediments using multi-frequency multibeam backscatter data
Gaida, T. C., Ali, T. A. T., Snellen, M., Amiri-Simkooei, A., van Dijk, T. A. G. P. & Simons, D. G., 4 Dec 2018, In: Geosciences (Switzerland). 8, 12, 25 p., 455.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile65 Link opens in a new tab Citations (Scopus)181 Downloads (Pure)
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