Papers & Presentations

Final Report on Development and usage of Electronic Monitoring System as a measure to monitor compliance with the Landing Obligation – 2015

Final Report on Development and usage of Electronic Monitoring System as a measure to monitor compliance with the Landing Obligation – 2015

Paper by Heiðrikur Bergsson and Kristian S. Plet-Hansen

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Electronic Monitoring Program Toolkit: A Guide for Designing and Implementing Electronic Monitoring Programs

This comprehensive 15-page report published in October, 2018 by The Nature Conservancy walks the reader through design and implemenation of an EM program.

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From the Introduction:

The majority of global fisheries lack the scientific and compliance data necessary for effective management. A variety of approaches and tools can facilitate data collection on the water and help ensure compliance, yet the use of human observers or other reporting or patrol options tend to be infrequently used, subject to bias and misreporting, and are typically expensive to employ. The lack of accurate on-the-water data collection hampers the ability of fishery managers to assess the health of fish stocks and to effectively manage fisheries, potentially resulting in… Read More »

Cost Recovery Guidelines for Monitoring Services

Cost Recovery Guidelines for Monitoring Services

This report, prepared by MRAG for the Worldwide Fund for Nature (WWF) and the Pacific Islands Forum Fisheries Agency (FFA), examines options, and proposes guidelines, for the recovery of costs for electronic monitoring (EM) services in FFA island member country tuna longline fisheries. It has been prepared as a result of increasing interest in how EM, which has largely been financially supported by non-government organizations or development assistance partners to date, may be sustained in the long term.

The extent to which costs may be recovered for any Government service is dependent on policy decisions of the Government or responsible agency. Relevant considerations may include:

  • the extent to which costs… Read More »

  • Comparisons of Recreational Self-Reported Fish Length Data Across Two Different Platforms

    A presentation by Brett Fitzgerald with assistance from Kelsey Dick, Chip Collier and Luiz Barbieri; the Snook and Gamefish Foundation; South Atlantic Fishery Management Council; and Florida Fish & Game Commission. Delivered at American Fisheries Society, August 2018.

    Questions? Contact – (561) 707-8923

    Implementation of EM on fixed gear vessels in Alaska

    A presentation by Jennifer Mondragon describing the process carried out in designing, piloting and implementing an EM program for a fleet of some 1,100 small vessels that target halibut and sablefish. This was presented at the IFOMC in Vigo, Spain, June 2018.

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    Electronic Monitoring Onboard Purse Seine Tuna Fisheries: Standards & Capabilities

    A presentation by Jon Ruiz, Senior Researcher at AZTI Sustainable Fisheries Management, delivered at the Electronic Monitoring Workshop section of the Internal Fisheries Observer & Monitoring Conference, Vigo, Spain, June 2018.

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    Current State of Electronic Monitoring in the United States

    A presentation by Brett Alger, NOAA Fisheries Electronic Monitoring Coordinator, June 13, 2018. delivered at the Electronic Monitoring Workshop section of the International Fisheries Observing and Monitoring Conference (IFOMC), Vigo, Spain.

    Download link:  Current State of Electronic Monitoring in the United States

    NOAA Issues Report from the National Electronic Monitoring Workshop

    A diverse group of nearly 100 stakeholders gathered in Seattle in November 2016 to share information on what is working – and what challenges remain – in the implementation and integration of electronic monitoring technologies in fisheries observation.

    This Second National EM Workshop was organized and planned by a steering committee of fishermen, managers, scientists, and fishery non-governmental organizations. It served as a follow-up to the First National EM Workshop, held in January 2014, which focused on encouraging the ongoing development of EM technologies.

    The workshop featured ten panel discussions, organized both by region (Alaska, Atlantic HMS, Northeast, and West Coast) and topic (Considering Costs; Data Quality, Storage, and Retention; Emerging EM Programs; Program Design and Implementation; EM… Read More »

    Presentations from 2017 AFS Symposium: Emerging Technologies in Fisheries-Dependent Science and Catch Monitoring

    Fisheries worldwide are seeking to improve catch data and regulatory compliance while managing costs. Electronic monitoring (EM) has clear potential to meet these challenges by incorporating cameras, sensors and electronic reporting systems into fishing operations. However, program development costs as well as the costs of human video review and video storage present significant barriers to moving EM programs forward.

    At the American Fisheries Society Annual Meeting in Tampa, Florida in August, a symposium on Emerging Technologies in Fisheries-Dependent Science and Catch Monitoring brought together experts in electronic technologies and automated data processing to examine how ongoing efforts can improve fisheries-dependent data collection. Presenters explored the status and economics of current and developing EM programs; the evolution of EM hardware and software… Read More »

    PowerPoint: Cloud and Machine Learning Technologies for Electronic Monitoring Data Processing and Analysis

    A Cloud and Machine Learning-based Electronic Monitoring (EM) system that enables effective monitoring of the compliance of commercial tuna fishing was developed for NOAA Fisheries. HD video and GPS location trace data are pre-processed, with quality control via a scalable computing cluster Data Pre-Processing System, as part of a hybrid cloud solution for this EM system. The quality controlled video data and its metadata are ingested into Amazon GovCloud S3 storage. GovCloud elastic servers and other PaaS and IaaS services are used to facilitate EM data analysis and review. Machine learning-based Activity Recognition (AR) is another key solution in the EM system. AR detects and classifies fish capturing activities, tags the video segments containing fishing events, and performs… Read More »