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@Seamissions

Seamissions

Quantifying Greenhouse Gas Emissions Associated with Global Seafood Production

Seamissions

Quantifying Greenhouse Gas Emissions Associated With Global Seafood Production

Source: Global Fishing Watch (2021). https://globalfishingwatch.org/data/global-ocean-mapping/

This is a capstone project for the Master of Environmental Data Science class of 2025 at Bren School of Environmental Science and Management, University of California, Santa Barbara

Bren Project Page: Seamissions

Seamissions Dashboard: Seamissions Explorer

About

Global fisheries are heavily reliant on fossil fuels, contributing significantly to the rise in global greenhouse gas (GHG) emissions driving climate change. While satellite technology is commonly used to monitor land-based emissions, studies estimating ocean-based emissions remain limited, particularly in the fishing sector. In collaboration with the Environmental Markets Lab (emLab) and Global Fishing Watch (GFW), this project will leverage novel, high-resolution satellite-based datasets to provide precise insights into the GHG emissions associated with global fisheries. We will develop a reproducible, extensible, and open-source data processing pipeline to connect emissions data with seafood production data in an interactive dashboard. Our findings will enable novel research opportunities, and offer actionable data to identify major GHG contributors and could enable new policy and market-based interventions to reduce fisheries-related emissions at scale.

Repositories

This organization houses three repositories for the Seamissions project:

  • emissions_pipeline: This repository contains the code to assign emission quantiites for nine different pollutants by year, country, and FAO fishing region
  • emissions_dashboard: This repository contains the code to visualize our final emisisons dataset through an interactive map hosted on a shiny app dashboard
  • visualizations: This repository contains the code with which our results are visualized in graphs and tables

Data Access

All of the data used in this project was provided by emLab. The data itself is housed on the emLab server and is accessed automatically by runing the code found in the emissions_pipeline repository.

Team Members

Carmen Hoyt: Bren Profile | Github | Linkedin | website

Josh Mull: Bren Profile | Github | Linkedin | website

Nicole Pepper: Bren Profile | Github | Linkedin | website

Stephen Carroll: Bren Profile | Github | Linkedin | website

Clients

EmLab

Global Fishing Watch

Advisor

We are especially grateful for our client and faculty advisor:

Gavin McDonald, Senior Project Scientist, Environmental Markets Lab (emLab), Bren School of Environmental Science & Management

Contributors & Acknowledgements

We also thank the following individuals for their support:

Bren School:

Dr. Steve Gaines, Dean & Distinguished Professor;

Dr. Carmen Galaz García, Assistant Teaching Professor;

Dr. Bruce Kendall, Professor & Associate Dean;

Dr. Sandy Sum, Teaching Assistant

emLab:

Echelle Burns, Project Scientist;

Pol Carbo Mestre, Data Scientist

Global Fishing Watch:

Tyler Clavelle, Senior Data Scientist

Popular repositories Loading

  1. .github .github Public

    Seamissions MEDS 2025

  2. emissions-pipeline emissions-pipeline Public

    Data pipeline to assign emissions for 9 pollutants to FAO catch by year, country, and FAO fishing region.

    HTML

  3. emissions-dashboard emissions-dashboard Public

    Dashboard for Visualizing Global Fishing Vessel Emissions from AIS-Broadcasting and Non-Broadcasting Sources

    R

  4. visualizations visualizations Public

    A repo to host thevarious data visualizations for the project.

Repositories

Showing 4 of 4 repositories

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