PING‐Mapper: Open‐Source Software for Automated Benthic Imaging and Mapping Using Recreation‐Grade Sonar

Abstract The characterization of benthic habitats is essential for aquatic ecosystem science and management, but is frequently limited by waterbody visibility and depth. Recreation‐grade side‐scan sonar systems are increasingly used to aid scientific inquiries in aquatic environments due to their re...

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Main Authors: C. S. Bodine, D. Buscombe, R. J. Best, J. A. Redner, A. J. Kaeser
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-09-01
Series:Earth and Space Science
Subjects:
Online Access:https://doi.org/10.1029/2022EA002469
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author C. S. Bodine
D. Buscombe
R. J. Best
J. A. Redner
A. J. Kaeser
author_facet C. S. Bodine
D. Buscombe
R. J. Best
J. A. Redner
A. J. Kaeser
author_sort C. S. Bodine
collection DOAJ
description Abstract The characterization of benthic habitats is essential for aquatic ecosystem science and management, but is frequently limited by waterbody visibility and depth. Recreation‐grade side‐scan sonar systems are increasingly used to aid scientific inquiries in aquatic environments due to their relative low‐cost, ease of operation, low‐weight, and ease of mounting on a variety of vessels. However, existing procedures and software for post‐processing these data are either limited, closed source, or fail on data from new sonar models, limiting the development of reproducible workflows. Here, we present PING‐Mapper, an open‐source and freely available side‐scan sonar post‐processing toolset for processing and mapping sonar recordings from popular Humminbird instruments. The modular software automatically: (a) decodes sonar recordings from any Humminbird system, (b) exports ping attributes from every sonar channel, (c) uses sonar sensor depth for water column removal, and (d) exports sonogram tiles and georectified mosaics. Sonar channels are processed in parallel for quick decoding and metadata extraction. Major processing wokflows, including georectification and image export, are optimized to scale with computing resources. The software has been extensively tested using data from several rivers of varying character and distribution of depths, but could also be used in estuarine and lacustrine environments. Usage of PING‐Mapper is illustrated in three case studies focused on mapping large woody debris, bathymetric mapping, and visual interpretation and mapping of substrates for selected reaches of the Pearl and Pascagoula river systems in Mississippi.
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spelling doaj.art-449a5bc1bfb946e885209a0cd13fbc782022-12-22T03:48:16ZengAmerican Geophysical Union (AGU)Earth and Space Science2333-50842022-09-0199n/an/a10.1029/2022EA002469PING‐Mapper: Open‐Source Software for Automated Benthic Imaging and Mapping Using Recreation‐Grade SonarC. S. Bodine0D. Buscombe1R. J. Best2J. A. Redner3A. J. Kaeser4School of Informatics, Computing, and Cyber Systems Northern Arizona University Flagstaff AZ USASchool of Informatics, Computing, and Cyber Systems Northern Arizona University Flagstaff AZ USASchool of Earth and Sustainability Northern Arizona University Flagstaff AZ USAArizona Game and Fish Department Arizona Natural Heritage Program Phoenix AZ USAPanama City Fish and Wildlife Conservation Office U.S. Fish and Wildlife Service Panama City FL USAAbstract The characterization of benthic habitats is essential for aquatic ecosystem science and management, but is frequently limited by waterbody visibility and depth. Recreation‐grade side‐scan sonar systems are increasingly used to aid scientific inquiries in aquatic environments due to their relative low‐cost, ease of operation, low‐weight, and ease of mounting on a variety of vessels. However, existing procedures and software for post‐processing these data are either limited, closed source, or fail on data from new sonar models, limiting the development of reproducible workflows. Here, we present PING‐Mapper, an open‐source and freely available side‐scan sonar post‐processing toolset for processing and mapping sonar recordings from popular Humminbird instruments. The modular software automatically: (a) decodes sonar recordings from any Humminbird system, (b) exports ping attributes from every sonar channel, (c) uses sonar sensor depth for water column removal, and (d) exports sonogram tiles and georectified mosaics. Sonar channels are processed in parallel for quick decoding and metadata extraction. Major processing wokflows, including georectification and image export, are optimized to scale with computing resources. The software has been extensively tested using data from several rivers of varying character and distribution of depths, but could also be used in estuarine and lacustrine environments. Usage of PING‐Mapper is illustrated in three case studies focused on mapping large woody debris, bathymetric mapping, and visual interpretation and mapping of substrates for selected reaches of the Pearl and Pascagoula river systems in Mississippi.https://doi.org/10.1029/2022EA002469side‐scan sonarbenthic habitatlarge woody debrissubstrate mappingacoustical remote sensing
spellingShingle C. S. Bodine
D. Buscombe
R. J. Best
J. A. Redner
A. J. Kaeser
PING‐Mapper: Open‐Source Software for Automated Benthic Imaging and Mapping Using Recreation‐Grade Sonar
Earth and Space Science
side‐scan sonar
benthic habitat
large woody debris
substrate mapping
acoustical remote sensing
title PING‐Mapper: Open‐Source Software for Automated Benthic Imaging and Mapping Using Recreation‐Grade Sonar
title_full PING‐Mapper: Open‐Source Software for Automated Benthic Imaging and Mapping Using Recreation‐Grade Sonar
title_fullStr PING‐Mapper: Open‐Source Software for Automated Benthic Imaging and Mapping Using Recreation‐Grade Sonar
title_full_unstemmed PING‐Mapper: Open‐Source Software for Automated Benthic Imaging and Mapping Using Recreation‐Grade Sonar
title_short PING‐Mapper: Open‐Source Software for Automated Benthic Imaging and Mapping Using Recreation‐Grade Sonar
title_sort ping mapper open source software for automated benthic imaging and mapping using recreation grade sonar
topic side‐scan sonar
benthic habitat
large woody debris
substrate mapping
acoustical remote sensing
url https://doi.org/10.1029/2022EA002469
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