PING-Mapper

Open-source interface for processing recreation-grade side scan sonar datasets and reproducibly mapping benthic habitat.
https://github.com/cameronbodine/pingmapper

Category: Hydrosphere
Sub Category: Ocean and Hydrology Data Access

Keywords

aquatic cerulean ecology garmin humminbird lowrance remotesensing sidescan sidescan-sonar sonar

Last synced: about 14 hours ago
JSON representation

Repository metadata

Open-source interface for processing recreation-grade side scan sonar datasets and reproducibly mapping benthic habitat

README.md

PING-Mapper

PyPI - Version

PINGMapper_Logo

GitHub last commit
GitHub commit activity
GitHub

Python
Anaconda
Numpy
Pandas
Tensorflow

Transform recordings from recreation-grade side scan sonar systems...

Suwa_Son

Video made with HumViewer

...into scientific datasets!

GithubMap

Overview

PINGMapper is an open-source Python interface for reading and processing side scan sonar datasets and reproducibly mapping benthic habitat features. PINGMapper transforms recreation-grade sonar systems (i.e. fishfinders) into scientific data collectors, allowing researchers and citizens alike to reproducibly map their aquatic system with minimal expertise in data processing.

Learn More Now!

Check out PING-Mapper's website for most up to date information:

Published Documentation

v1.0.0 (August 29, 2022)

An overview of PINGMapper v1.0.0 functionality and justification are published in AGU's Earth and Space Science scientific journal.

Journal Article

Bodine, C. S., Buscombe, D., Best, R. J., Redner, J. A., & Kaeser, A. J. (2022). PING-Mapper: Open-source software for automated benthic imaging and mapping using recreation-grade sonar. Earth and Space Science, 9, e2022EA002469. https://doi.org/10.1029/2022EA002469

Preprint

Earth ArXiv Preprint DOI

Code

DOI

v2.0.0 (July 9, 2024)

A manuscript detailing the automated substrate mapping features made availabe in v2.0.0 is published in AGU's Journal of Geophysical Research: Machine Learning and Computation.

Journal Article

Bodine, C. S., Buscombe, D., & Hocking, T. D. (2024). Automated river substrate mapping from sonar imagery with machine learning. Journal of Geophysical Research: Machine Learning and Computation, 1, e2024JH000135. https://doi.org/10.1029/2024JH000135

Preprint

Earth ArXiv Preprint DOI

Code

DOI

Segmentation models

DOI

Segmentation model training datasets

DOI

Acknowledgements

v1.0 - 2.0

This study was originally made possible by a partnership between the U.S. Fish and Wildlife Service and Northern Arizona University. Funding for this work was provided by the Open Ocean Trustee Implementation Group to restore natural resources injured by the 2010 Deepwater Horizon oil spill in the Gulf of Mexico. The contents of this website are those of the authors and do not necessarily represent the views of the U.S. Fish and Wildlife Service or Northern Arizona University.

Primary Developer: Dr. Cameron S. Bodine

Co-Developer: Dr. Daniel Buscombe

Project Collaborators: Thanks to Adam Kaeser (USFWS), Channing St. Aubin (USFWS), Mike Andres (USM), Kasea Price (USM), Alyssa Pagel (USM), Eric Haffey (USM), and Katherine Wright (USM).

Advocates & Early-Adopters: A special thanks to advocates and early-adoptors including, but not limited to, Jennylyn Redner, Adrian Pinchbeck, Art Trembanis, Dan Carlson, Alan Ryon, Mirko Denecke, Dan Haught, Dan Hamill, Mark Lundine, Elizabeth Greenheck, Hendra Kurnia Febriawan, Bryan Bozeman, Paul Grams, Matt Kaplinski, Jess Kozarek, Chris Milliren, Brett Connell and James Parham.

PhD Committee: Cameron wishes to thank his PhD dissertation committee: Toby Hocking, Co-Chair; advisor Dan Buscombe, Co-Chair; Rebecca Best; and Adam Kaeser.

v3.0 - 4.0

Continued support for PINGMapper and tools in the PING Ecosystem is made possible through mentorship, partnerships, and financial support listed below.

Primary Developer: Dr. Cameron S. Bodine

PostDoctoral Advisor: Dr. Arthur Trembanis

Lab: Coastal Sediments, Hydrodynamics and Engineering Lab (CSHEL)

Institution: College of Earth, Ocean, & Environment (CEOE) at the University of Delaware

Advocates & Mentors: Vincent Capone - Black Laser Learning

Quick Start

Option A: Conda

Please see Getting Started for full instructions, or simply run:

conda env create -f pingmapper/conda/PINGMapper.yml
conda activate ping
python -m pingmapper gui

Option B: Pixi

Pixi manages all dependencies (including GDAL) automatically from a single pyproject.toml.

  1. Install pixi
  2. Clone and run:
    git clone https://github.com/CameronBodine/PINGMapper.git
    cd PINGMapper
    pixi run pingmapper  # Launches PINGWizard
    
  3. For machine learning features (substrate mapping):
    pixi run -e full gui    # GUI with ML support
    

Ready to get started?

Follow the installation and testing instructions to Get Started!

Future Development, Collaborations, & Partnerships

If you are interested in partnering on future developments, please reach out to Cameron Bodine.

PING-Mapper is part of the Doodleverse!

153729377-e16d0679-ca0d-4d0d-a9f9-90306ba2f871

The Doodleverse is an opinionated collection of Python packages designed for geoscientific image segmentation. Find out more on GitHub.


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 3 days ago

Total Commits: 1,036
Total Committers: 4
Avg Commits per committer: 259.0
Development Distribution Score (DDS): 0.004

Commits in past year: 129
Committers in past year: 3
Avg Commits per committer in past year: 43.0
Development Distribution Score (DDS) in past year: 0.023

Name Email Commits
Cameron Bodine c****7@n****u 1032
iury simoes-sousa i****t@p****e 2
copilot-swe-agent[bot] 1****t 1
Mirko Denecke m****x@g****m 1

Committer domains:


Issue and Pull Request metadata

Last synced: 3 days ago

Total issues: 104
Total pull requests: 62
Average time to close issues: 3 months
Average time to close pull requests: about 2 hours
Total issue authors: 33
Total pull request authors: 3
Average comments per issue: 4.21
Average comments per pull request: 0.06
Merged pull request: 51
Bot issues: 0
Bot pull requests: 0

Past year issues: 13
Past year pull requests: 1
Past year average time to close issues: 6 days
Past year average time to close pull requests: N/A
Past year issue authors: 9
Past year pull request authors: 1
Past year average comments per issue: 1.0
Past year average comments per pull request: 1.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/cameronbodine/pingmapper

Top Issue Authors

  • CameronBodine (58)
  • philippetournevase-spec (3)
  • bthetford (3)
  • Hesslertm (3)
  • AdrianPinchbeck (3)
  • dfcscience (3)
  • mihykavetu (2)
  • vshie (2)
  • DWhettam (2)
  • mmcintosh (2)
  • mstuart5 (1)
  • AlexandreAvz (1)
  • kbartelt1 (1)
  • mjhawker (1)
  • BGunnett8 (1)

Top Pull Request Authors

  • CameronBodine (60)
  • mirkix (1)
  • iuryt (1)

Top Issue Labels

  • 0_Code (91)
  • enhancement (43)
  • end user issue - general bug (20)
  • bug (19)
  • end user issue (11)
  • end user issue - processing bug (9)
  • help wanted (5)
  • question (3)
  • tidy up (3)
  • error - dependency (3)
  • documentation (3)
  • install (3)

Top Pull Request Labels

  • enhancement (1)

Package metadata

pypi.org: pingmapper

Open-source interface for processing recreation-grade side scan sonar datasets and reproducibly mapping benthic habitat

  • Homepage: https://cameronbodine.github.io/PINGMapper/
  • Documentation: https://pingmapper.readthedocs.io/
  • Licenses: MIT License
  • Latest release: 5.1.1 (published about 1 month ago)
  • Last Synced: 2026-03-22T19:38:04.711Z (about 1 month ago)
  • Versions: 64
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 550 Last month
  • Rankings:
    • Dependent packages count: 9.817%
    • Average: 32.539%
    • Dependent repos count: 55.262%
  • Maintainers (1)

Score: 12.262377361740642