Harmonizing multi-source backscatter data using bulk shift approaches to generate regional seabed maps: Bay of Fundy, Canada
ABSTRACTAdvances in sonar technology have revolutionized our ability to map the seafloor, however, differences between legacy and modern data pose challenges when analysing multi-source datasets. Acoustic backscatter recorded via multibeam echosounder is commonly used to characterize the seafloor, b...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2023-12-01
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Series: | Journal of Maps |
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Online Access: | https://www.tandfonline.com/doi/10.1080/17445647.2023.2223629 |
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author | Claire Haar Benjamin Misiuk Vicki Gazzola Molly Wells Craig J. Brown |
author_facet | Claire Haar Benjamin Misiuk Vicki Gazzola Molly Wells Craig J. Brown |
author_sort | Claire Haar |
collection | DOAJ |
description | ABSTRACTAdvances in sonar technology have revolutionized our ability to map the seafloor, however, differences between legacy and modern data pose challenges when analysing multi-source datasets. Acoustic backscatter recorded via multibeam echosounder is commonly used to characterize the seafloor, but a lack of standardized calibration often yields relative rather than absolute backscatter measurements, hindering comparison between surveys. ‘Bulk shift’ methods have been developed for harmonizing legacy backscatter datasets using overlapping survey areas for relative statistical calibration. This becomes increasingly difficult, though, given many datasets collected over extensive time periods. Backscatter data were collected in the Bay of Fundy, Canada, using multiple sonar systems and vessels over an 18-year period. Here, we propose a reproduceable strategy for harmonizing this large volume of disparate backscatter data using the bulk shift method. A final, harmonized map is presented for the entire Bay of Fundy and is validated using in situ observations from seafloor imagery. |
first_indexed | 2024-03-12T23:46:13Z |
format | Article |
id | doaj.art-30d9a4c2a48041caab96d1c24b35aacf |
institution | Directory Open Access Journal |
issn | 1744-5647 |
language | English |
last_indexed | 2024-03-12T23:46:13Z |
publishDate | 2023-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Journal of Maps |
spelling | doaj.art-30d9a4c2a48041caab96d1c24b35aacf2023-07-14T06:34:12ZengTaylor & Francis GroupJournal of Maps1744-56472023-12-0119110.1080/17445647.2023.2223629Harmonizing multi-source backscatter data using bulk shift approaches to generate regional seabed maps: Bay of Fundy, CanadaClaire Haar0Benjamin Misiuk1Vicki Gazzola2Molly Wells3Craig J. Brown4Department of Oceanography, Dalhousie University, Halifax, NS, CanadaDepartment of Oceanography, Dalhousie University, Halifax, NS, CanadaDepartment of Oceanography, Dalhousie University, Halifax, NS, CanadaDepartment of Oceanography, Dalhousie University, Halifax, NS, CanadaDepartment of Oceanography, Dalhousie University, Halifax, NS, CanadaABSTRACTAdvances in sonar technology have revolutionized our ability to map the seafloor, however, differences between legacy and modern data pose challenges when analysing multi-source datasets. Acoustic backscatter recorded via multibeam echosounder is commonly used to characterize the seafloor, but a lack of standardized calibration often yields relative rather than absolute backscatter measurements, hindering comparison between surveys. ‘Bulk shift’ methods have been developed for harmonizing legacy backscatter datasets using overlapping survey areas for relative statistical calibration. This becomes increasingly difficult, though, given many datasets collected over extensive time periods. Backscatter data were collected in the Bay of Fundy, Canada, using multiple sonar systems and vessels over an 18-year period. Here, we propose a reproduceable strategy for harmonizing this large volume of disparate backscatter data using the bulk shift method. A final, harmonized map is presented for the entire Bay of Fundy and is validated using in situ observations from seafloor imagery.https://www.tandfonline.com/doi/10.1080/17445647.2023.2223629Backscattermultibeam echosounderseabed mappingbackscatter calibrationbulk shift harmonizationbenthic |
spellingShingle | Claire Haar Benjamin Misiuk Vicki Gazzola Molly Wells Craig J. Brown Harmonizing multi-source backscatter data using bulk shift approaches to generate regional seabed maps: Bay of Fundy, Canada Journal of Maps Backscatter multibeam echosounder seabed mapping backscatter calibration bulk shift harmonization benthic |
title | Harmonizing multi-source backscatter data using bulk shift approaches to generate regional seabed maps: Bay of Fundy, Canada |
title_full | Harmonizing multi-source backscatter data using bulk shift approaches to generate regional seabed maps: Bay of Fundy, Canada |
title_fullStr | Harmonizing multi-source backscatter data using bulk shift approaches to generate regional seabed maps: Bay of Fundy, Canada |
title_full_unstemmed | Harmonizing multi-source backscatter data using bulk shift approaches to generate regional seabed maps: Bay of Fundy, Canada |
title_short | Harmonizing multi-source backscatter data using bulk shift approaches to generate regional seabed maps: Bay of Fundy, Canada |
title_sort | harmonizing multi source backscatter data using bulk shift approaches to generate regional seabed maps bay of fundy canada |
topic | Backscatter multibeam echosounder seabed mapping backscatter calibration bulk shift harmonization benthic |
url | https://www.tandfonline.com/doi/10.1080/17445647.2023.2223629 |
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