Display SBP profiles with Python toolkit - example of Hakuho-maru Bathy 2010

Sub-bottom profilers (SBPs) are essential tools for investigating geological structures beneath sea or lake floors. SBPs are widely deployed because they do not interfere with other onboard survey methods such as sediment sampling and seismic profiling. However, SBP data are underutilized because they are stored in multiple different proprietary formats and commercial software is expensive. To improve this situation, we initially targeted a SyQwest Bathy-2010 installed on the R/V Hakuho Maru (JAMSTEC) and developed a procedure for SBP data visualization. This note aims to be a practical manual, with step-by-step guidance and screenshots, allowing interested users to easily process SBP data. The procedure involves three key steps: onboard data conversion, running a Python script, and creation of an index map. To ensure accessibility, the workflow has been tailored for free platforms, including Google Colab, enabling users with limited technical resources or programming experience to process SBP data effectively. We hope this effort democratizes the use of SBP data and facilitates its broader application in marine geological research.

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Publication Details

Journal
The Journal of the Geological Society of Japan
Published
2025-03-26
DOI
https://doi.org/10.5575/geosoc.2024.0033
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
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Display SBP profiles with Python toolkit - example of Hakuho-maru Bathy 2010

Ayanori Misawa, Hiroaki Koge, Hironori Otsuka, Ryo Nakanishi et al.
The Journal of the Geological Society of Japan
Computational Physics and Python Applications
article

Display SBP profiles with Python toolkit - example of Hakuho-maru Bathy 2010

Ayanori Misawa, Hiroaki Koge, Hironori Otsuka, Ryo Nakanishi, Fumitoshi Murakami
article en

Abstract

Sub-bottom profilers (SBPs) are essential tools for investigating geological structures beneath sea or lake floors. SBPs are widely deployed because they do not interfere with other onboard survey methods such as sediment sampling and seismic profiling. However, SBP data are underutilized because they are stored in multiple different proprietary formats and commercial software is expensive. To improve this situation, we initially targeted a SyQwest Bathy-2010 installed on the R/V Hakuho Maru (JAMSTEC) and developed a procedure for SBP data visualization. This note aims to be a practical manual, with step-by-step guidance and screenshots, allowing interested users to easily process SBP data. The procedure involves three key steps: onboard data conversion, running a Python script, and creation of an index map. To ensure accessibility, the workflow has been tailored for free platforms, including Google Colab, enabling users with limited technical resources or programming experience to process SBP data effectively. We hope this effort democratizes the use of SBP data and facilitates its broader application in marine geological research.

The Journal of the Geological Society of JapanVol. 131(1)
Kyoto University (JP), Earthquake Engineering Research Institute (US), Geological Survey of Japan (JP), Kobe University (JP), National Institute of Advanced Industrial Science and Technology (JP), The University of Tokyo (JP)
Openalex Percentile: Top 97%
Computational Physics and Python Applications
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