The use of multibeam backscatter angular response for marine sediment characterisation by comparison with shallow electromagnetic conductivity

11 pages, 7 figures, 3 tablesIn this empirically-driven research, multibeam backscatter angular response analysis is presented, together with shallow electromagnetic data and groundtruthing, to examine its suitability as a proxy for sediment characterisation. Backscatter angular curves extracted from Kongsberg EM1002 sonar (95-98 kHz), acquired in the Malin Basin to the northwest of Ireland, have been selected as a case study. Standard angular backscatter features and newly derived curvature features are examined and cross compared. Exhaustive statistical analysis has been performed on the data to elucidate the complex relationship between multibeam backscatter and sediment properties. Subtle subsurface sediment property gradients across the basin identified by the conductivity system are also captured by the newly derived backscatter features. The results reveal that Near-range backscatter is better suited for subsurface sediment characterisation in soft, fine-grained sediments than far-range. Furthermore, the analysis has constrained the optimum interval for such characterisation to in-between 4° and 16° for the parameters of this study. A number of shape features (slope, first derivative, second derivative and Fourier-smoothed least-squares-fitted curvature) have been examined, and their suitability discussed, in terms of sediment characterisation and, in particular, as potential proxies for delineating the boundary between sand- or silt-dominated sediment facies. Nonetheless, curvature features are found to be independent from average angular backscatter response, but outperform both first and second derivatives when correlating with conductivity in the central part of this case-study with fine-grained homogeneous sedimentsWe wish to thank the Geological Survey of Ireland, the Integrated Mapping For the Sustainable Development of Ireland’s Marine Resources (INFOMAR) programme, the Petroleum Affairs Division (Ireland) and the Dublin Institute for Advanced Studies for funding this study. Research presented in this paper is supported by a Strategic Research Cluster grant (07/SRC/I1168) – StratAG, awarded to the National Centre of Geocomputation by Science Foundation Ireland under the National Development Plan. The survey data utilized in the research has been co-funded by the Geological Survey of Ireland and the Offshore Irish Petroleum Infrastructure Programme (PIP; Ref. No: IS05/16 Malin Basin EM)Peer Reviewe