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Harmonizing multi-source sonar backscatter datasets for seabed mapping using bulk shift approaches

Citation

Misiuk, B and Brown, CJ and Robert, K and Lacharite, M, Harmonizing multi-source sonar backscatter datasets for seabed mapping using bulk shift approaches, Remote Sensing, 12, (4) Article 601. ISSN 2072-4292 (2020) [Refereed Article]


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Copyright Statement

Copyright 2020 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.3390/rs12040601

Abstract

The development of multibeam echosounders (MBES) as a seabed mapping tool has resulted in the widespread uptake of backscatter intensity as an indicator of seabed substrate properties. Though increasingly common, the lack of standard calibration and the characteristics of individual sonars generally produce backscatter measurements that are relative to a given survey, presenting major challenges for seabed mapping in areas that comprise multiple MBES surveys. Here, we explore methods for backscatter dataset harmonization that leverage areas of mutual overlap between surveys for relative statistical calibrationóreferred to as "bulk shift" approaches. We use three multispectral MBES datasets to simulate the harmonization of backscatter collected over multiple years, and using multiple operating frequencies. Results suggest that relatively simple statistical models are adequate for bulk shift harmonization procedures, and that more flexible approaches may produce inconsistent results that risk statistical overfitting. While harmonizing datasets collected using the same operating frequency from separate surveys is generally feasible given reasonable temporal limitations, results suggest that the success at harmonizing datasets of different operating frequencies partly depends on the extent to which the frequencies differ. We recommend approaches and diagnostics for ensuring the quality of harmonized backscatter mosaics, and provide an R function for implementing the methods presented here.

Item Details

Item Type:Refereed Article
Keywords:multibeam, backscatter, seabed mapping, benthos, habitat mapping
Research Division:Earth Sciences
Research Group:Geology
Research Field:Marine geoscience
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Assessment and management of terrestrial ecosystems
UTAS Author:Lacharite, M (Dr Myriam Lacharite)
ID Code:141245
Year Published:2020
Web of Science® Times Cited:3
Deposited By:Sustainable Marine Research Collaboration
Deposited On:2020-10-07
Last Modified:2021-02-17
Downloads:0

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