There is a need to share existing fisheries resources and collect/integrate new in-situ data: this includes fish species, human resources impacting the fishery, as well as other aspects related to artisanal fisheries. This is required to understand the status of resources and exploitation rate and would allow stakeholders in various regions to develop plans and sustainable management practices. Some species are endangered and vulnerable, while some invasive species have been biologically and/or economically affecting some other fish resources in some regions due to climate change, migration and illegal dislodging of ballast waters. This Working Group will work with countries to identify the needs and the gaps in data availability and knowledge sharing for the fisheries community across local, regional and global level and scale of type of fisheries (capture fishery- artisanal, commercial; aquaculture- inland, coastal and offshore fish farming; species type brackish; socio-economic aspect), and support the implementation of an open knowledge platform to empower decision makers. 


  • Work with stakeholders at the global, regional and local scales to identify data and information gaps;
  • Provide networking and coordination support to connect fisheries information providers with those who need fisheries information services;
  • Identify best practices in fisheries related ocean observations to improve and increase the range of services delivered; and
  • Support the development of technology transfer and capacity development projects.
Name Affiliation
Kwame Adu Agyekum  University of Ghana, Ghana
Nuno Catarino  Deimos Engenharia, Portugal
Kunal Chakraborty  Indian National Centre for Ocean Information Services, India
Marc Gabriel Cloarc
 Elecnor, Spain
Isa Elegbede  Brandenburg University of Technology, Germany
Anton Ellenbroek  Food and Agriculture Organization of the United Nations, Italy
Grinson George  Indian Council of Agricultural Research, India
Nuno Grosso  Deimos Engenharia, Portugal
Emran Hassan  Institute of Remote Sensing and Digital Earth, China
Nimit Kumar  Indian National Centre for Ocean Information Services, India
Patrick Lehodey   Collecte Localisation Satellites, France
Hassan Moustahfid  National Oceanographic and Atmospheric Administration, USA
Koushik Panda  Deimos Engenharia, Portugal
Subrata Sarker  Shahjalal University of Science and Technology, Bangladesh 
Sophie Seeyave  Partnership for Observation of the Global Oceans, United Kingdom
Li Zhang   Institute of Remote Sensing and Digital Earth, China

Proposed Activities for 2020 - 2022: 

Identifying data and information gaps 

  • Virtual Consultation Workshops: Host virtual workshops with the SPC oceanic fisheries programme, the Western Central Pacific Fisheries Commission (CPFC) and the Indian Ocean Tuna Commission and other interested Fisheries Commissions to identify their data and information gaps and showcase capabilities of EO to support fisheries. The aim of the workshop will be to identify existing data and products that could be used by fisheries commissions and to identify opportunities for tech transfer where existing data and products do not exist.

Networking and coordination

  • Fisheries-scape: The fisheries-scape will provide information about local, regional and global fisheries services in a user friendly and interactive way. Information about the services include the data, infrastructure, and software used to develop the service along with contacts. The goal will be to link the fisheries service community in order to bring awareness on what and how data are used for fisheries management and create a network for information and resource sharing.

  • Registry of fisheries Earth observations experts: create an online registry for experts working in Earth observations for fisheries to facilitate networking.

Best practices

  • Remote Sensing Monitoring of Fishing Activities and Water Parameters in Monsoon Season: We assume that fishing is a yearlong activity, therefore fisheries-related parameters are needed all year round. However, during monsoon season in Bangladesh, the optical sensors (e.g. Landsat) are not effective due to cloud cover. The Aerospace Information Research Institute, Chinese Academy of Sciences (AIR-CAS) can explore the potential of applying Chinese Satellite data e.g. Gaofen-3 (GF-3) high resolution SAR data to overcome these limitations and maintain the flow of the data acquisition and processing during the monsoon season. Moreover, the other series of GF data such as GF-5 and GF-7 data has the utmost potential to uncover maritime fisheries and surrounding features. Besides, the ESA has launched a new series of sentinel data which we can explore to include in our working group activities to help facilitate fishing zone monitoring. The results from this effort could be used to provide best practices for monitoring fisheries activities when cloud cover is an issue. 

Technology transfer and capacity development

  • SMS Fisheries Alerts for Bangladesh: Bangladesh is interested in generating potential fishing zone and ocean state SMS alerts for their fisheries communities. The University of Ghana will be working with the Shahjalal University of Science and Technology and the Organisation for Socio-Economic Development (AOSED) in Bangladesh to do a tech transfer of a similar system produced in Ghana.