Seafloor change detection using multibeam echosounder backscatter: case study on the Belgian part of the North Sea

Montereale-Gavazzi, Giacomo; Roche, Marc; Lurton, Xavier; Degrendele, Koen; Terseleer, N.; Lancker, V. Van

doi:10.1007/s11001-017-9323-6

Cited by 53 publications

(55 citation statements)

References 44 publications

(44 reference statements)

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“…It is necessary to keep in mind that a set of samples that is too small can lead to a falsified accuracy result [68]. Some studies have presented results of seabed mapping after analysis of similarly small but representative numbers of ground-truth samples [10,17,42,49]. In any such case, there is a possibility of errors, for which the sources have been described in detail (e.g., [69]).…”

Section: Discussionmentioning

confidence: 99%

“…Future research will be conducted using the same model of multibeam echosounder device but with an acoustically calibrated option regarding the backscatter strength. Therefore, the composition of the seafloor will be represented from a physical point of view, which would create new perspectives in benthic habitat mapping, such as the ability to track spatial changes of habitats over time [42].…”

Section: Discussionmentioning

confidence: 99%

“…Features with the highest importance have Z-scores that are significantly higher than their shadow attributes and therefore are selected as Remote Sens. 2018, 10, 1983 7 of 21 confirmed [42]. Features without a decision at the end of the analysis are marked as tentative [43].…”

Section: Feature Extraction and Selectionmentioning

confidence: 99%

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Nearshore Benthic Habitat Mapping Based on Multi-Frequency, Multibeam Echosounder Data Using a Combined Object-Based Approach: A Case Study from the Rowy Site in the Southern Baltic Sea

et al. 2018

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Recently, the rapid development of the seabed mapping industry has allowed researchers to collect hydroacoustic data in shallow, nearshore environments. Progress in marine habitat mapping has also helped to distinguish the seafloor areas of varied acoustic properties. As a result of these new developments, we have collected a multi-frequency, multibeam echosounder dataset from the valuable nearshore environment of the southern Baltic Sea using two frequencies: 150 kHz and 400 kHz. Despite its small size, the Rowy area is characterized by diverse habitat conditions and the presence of red algae, unique on the Polish coast of the Baltic Sea. This study focused on the utilization of multibeam bathymetry and multi-frequency backscatter data to create reliable maps of the seafloor. Our approach consisted of the extraction of 70 secondary features of bathymetric and backscatter data, including statistic and textural attributes of different scales. Based on ground-truth samples, we have identified six habitat classes and selected the most relevant features of the bathymetric and backscatter data. Additionally, five types of image processing pixel-based and object-based classifiers were tested. We also evaluated the performance of algorithms using an accuracy assessment based on the validation subset of the ground-truth samples. Our best results reached 93% overall accuracy and a kappa coefficient of 0.90, confirming that nearshore seabed habitats can be accurately distinguished based on multi-frequency, multibeam echosounder measurements. Our predictive habitat mapping of shallow euphotic zones creates a new scientific perspective and provides relevant data for the management of natural resources. Object-based approaches previously used in various environments and areas suggest that methodology presented in this study may be scalable.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Nearshore Benthic Habitat Mapping Based on Multi-Frequency, Multibeam Echosounder Data Using a Combined Object-Based Approach: A Case Study from the Rowy Site in the Southern Baltic Sea

et al. 2018

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“…The backscatter AR was here a particularly useful measurement, not only to gain a physical understanding of the backscattering characteristics of the substrate type (the AR curves show three distinct shapes characteristic of each substrate type; see Figure 6A-C), but also to detect the presence of a weak azimuthal-like dependence thanks to the BS values measured in the steep-angle range (see [39]). This would have been impossible using solely backscatter mosaics, which by nature lack the angular component (as the change detection carried out in [72,73]). This shows that a compensation of mosaicked backscatter imagery using an angular interval in the range 30 • -60 • (as in e.g., FMGT standard processing) would omit the azimuthal dependence (which in this gravelly/hillocky terrain extended only up until 18 • ) while assessing changes of interest (i.e., sediment type at oblique angles) within such seafloor types.…”

Section: Experiments 1-offshore Gravel Areamentioning

confidence: 99%

Insights into the Short-Term Tidal Variability of Multibeam Backscatter from Field Experiments on Different Seafloor Types

Montereale-Gavazzi

Roche²,

Degrendele³

et al. 2019

Geosciences

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Three experiments were conducted in the Belgian part of the North Sea to investigate short-term variation in seafloor backscatter strength (BS) obtained with multibeam echosounders (MBES). Measurements were acquired on predominantly gravelly (offshore) and sandy and muddy (nearshore) areas. Kongsberg EM3002 and EM2040 dual MBES were used to carry out repeated 300-kHz backscatter measurements over tidal cycles (~13 h). Measurements were analysed in complement to an array of ground-truth variables on sediment and current nature and dynamics. Seafloor and water-column sampling was used, as well as benthic landers equipped with different oceanographic sensors. Both angular response (AR) and mosaicked BS were derived. Results point at the high stability of the seafloor BS in the gravelly area (<0.5 dB variability at 45° incidence) and significant variability in the sandy and muddy areas with envelopes of variability >2 dB and 4 dB at 45° respectively. The high-frequency backscatter sensitivity and short-term variability are interpreted and discussed in the light of the available ground-truth data for the three experiments. The envelopes of variability differed considerably between areas and were driven either by external sources (not related to the seafloor sediment), or by intrinsic seafloor properties (typically for dynamic nearshore areas) or by a combination of both. More specifically, within the gravelly areas with a clear water mass, seafloor BS measurements where unambiguous and related directly to the water-sediment interface. Within the sandy nearshore area, the BS was shown to be strongly affected by roughness polarization processes, particularly due to along- and cross-shore current dynamics, which were responsible for the geometric reorganization of the morpho-sedimentary features. In the muddy nearshore area, the BS fluctuation was jointly driven by high-concentrated mud suspension dynamics, together with surficial substrate changes, as well as by water turbidity, increasing the transmission losses. Altogether, this shows that end-users and surveyors need to consider the complexity of the environment since its dynamics may have severe repercussions on the interpretation of BS maps and change-detection applications. Furthermore, the experimental observations revealed the sensitivity of high-frequency BS values to an array of specific configurations of the natural water-sediment interface which are of interest for monitoring applications elsewhere. This encourages the routine acquisition of different and concurrent environmental data together with MBES survey data. In view of promising advances in MBES absolute calibration allowing more straightforward data comparison, further investigations of the drivers of BS variability and sensitivity are required.

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“…The bathymetry of the seafloors has usually been determined using conventional echosounders [6][7][8][9]. However, as the echosounders are usually fixed in ships [7,10], such echosounder that the scan width of the echosounders will become narrow as the water becomes shallow.…”

Section: Introductionmentioning

confidence: 99%

Bathymetry of the Coral Reefs of Weizhou Island Based on Multispectral Satellite Images

Huang

Wang

et al. 2017

Remote Sensing

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Shallow water depth measurements using multispectral images are crucial for marine surveying and mapping. At present, relevant studies either depend on the use of other auxiliary data (such as field water depths or water column data) or contain too many unknown variables, thus making these studies suitable only for images that contain enough visible wavebands. To solve this problem, a Quasi-Analytical Algorithm (QAA) approach is proposed in this paper for estimating the water depths around Weizhou Island by developing a QAA to estimate the diffuse attenuation coefficients and simplifying the parameterization of the bathymetric model. The approach contains an initialization sub-approach and a novel global adjustment sub-approach. It is not only independent of other auxiliary data but also greatly reduces the number of unknowns. Experimental results finally demonstrated that the Root Mean Square Errors (RMSEs) were 1.01 m and 0.77 m for the ZY-3 image and the WorldView-3 (WV-3) image, respectively, so the approach is competitive to other QAA bathymetric methods. Besides, the global adjustment sub-approach was also seen to be superior to common smoothing filters: if the Signal-to-Noise Ratio (SNR) is as low as 42, i.e., ZY-3, it can smooth the water depths and improve the accuracies, otherwise can avoid the over-smoothing of water depths.

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Seafloor change detection using multibeam echosounder backscatter: case study on the Belgian part of the North Sea

Cited by 53 publications

References 44 publications

Nearshore Benthic Habitat Mapping Based on Multi-Frequency, Multibeam Echosounder Data Using a Combined Object-Based Approach: A Case Study from the Rowy Site in the Southern Baltic Sea

Nearshore Benthic Habitat Mapping Based on Multi-Frequency, Multibeam Echosounder Data Using a Combined Object-Based Approach: A Case Study from the Rowy Site in the Southern Baltic Sea

Insights into the Short-Term Tidal Variability of Multibeam Backscatter from Field Experiments on Different Seafloor Types

Bathymetry of the Coral Reefs of Weizhou Island Based on Multispectral Satellite Images

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