OceanTeacher Global Academy

Fishing vessel traffic data derived from Automatic Identification System (AIS) has become an essential component for building fisheries intelligence.  Enforce and related fisheries management strategies rely on such information to curb illegal fishing, plan and implement policies for the sustainability of marine living resources. 

Fisheries managers and enforcers require specialized skills to processes the large volume of positional, navigational and voyage related information embedded in AIS data.  Open-source programming software such as Python has lots of third-party modules for building packages and functions.  This makes Python an asset for the creation of customized data processing, analyses and visualization to support in making informed decisions in the management of natural resources.   

This training course will provide participants an understanding of the movement of fishing vessels and skills in processing AIS data.

El curso de estuarios tropicales se enfocará en el estudio de los procesos que generan los principales servicios ecosistémicos a la sociedad, y como los efectos del cambio climático pueden afectarlos, a través de la aplicación de herramientas para su observación y análisis.

This training course will provide and introduction to sample collection and sorting, including taxonomy and processing for DNA extraction, eDNA and qPCR analyses, as well as a quick guide on the use of the bioinformatics for sequence analysis to in-country (Fiji) managers and technical staff.

This course is an introduction to the Ocean Best Practices System. A best practice is a methodology that has repeatedly produced superior results relative to other methodologies with the same objective; to be fully elevated to a best practice, a promising method should be adopted and employed by multiple organizations.
This short course provides an overview of the importance and relevance of using and sharing Ocean Best Practices and Standards, as well as on how to create, submit, share and search for Best Practices in the Ocean Best Practices System (OBPS) repository. This course is intended for University students, researchers and ocean practitioners in general. It does not provide a certificate.

Ocean colour analysis is a proven tool for determining the health of ocean using oceanic biological activity through optical means. Phytoplankton pigment, chlorophyll, are indicators of equilibrium of CO₂ concentration between atmosphere and ocean. The oceanic colour changes due to chlorophyll a provides the level of primary productivity whereas the colour change due to CDOM can be attributed to the level of pollution and higher particulate matter. The ability of optical sensors to map the spatial and temporal patterns of ocean colour over regional and global scales has provided important insights into the fundamental bio-optical properties and bio-physical processes occurring in the aquatic media. Chlorophyll, SST and PAR can be operationally scaled up to estimate primary production and estimate the fish stocks. This training focuses on the basics of marine optics, ocean colour remote sensing, and its applications such as mapping primary productivity, phytoplankton classes and algal blooms.

This training course will focus on raising the awareness for the need for Quality Assurance and Quality Control on Marine Ecosystem-based Management. Participants will be introduced to up-to-date best practices and standards as well as the quality assurance and quality control on marine ecosystem observation, and marine instrument measurement testing, specifically on the four important sectors of the whole process of QA and QC, namely sensors, laboratory, data processing, and product application. The course will use case studies relevant for the Western Pacific.

The purpose of this training workshop is to share knowledge, skills, resources and training techniques so that attendees are able to independently train others on available Earth Observation (EO) data and tools. During the course, participants will work with others to create their own (learning) artefacts. This is an interactive knowledge exchange workshop, not a technical training event.

Aims and objectives: 

• To support marine and earth observation educators in their training activities, by sharing Copernicus Marine data resources and exchanging experience of different learning approaches.
• To foster a community of marine EO educators who can collaborate in future.
• To co-create learning artefacts that can used in participants own training activities and more broadly by the Earth observation community.

O curso decorrerá em três módulos: (1) instrumentos e técnicas de recolha de dados in situ; (2) acesso de dados (oceanográficos) gratuitos em linha; e (3) desenvolvimento de um produto/serviço baseado nos conteúdos do curso.

Mais informações em https://oceanexpert.org/event/3533

Prazo para candidaturas: 17 de Abril 2022

El curso proporciona conocimientos básicos acerca de los Sistemas de Información Geográfica (SIG) aplicados en un caso de estudio en el que se determinarán zonas de conservación usando el software ArcGIS. El curso incluye temas como: métodos de adquisición de datos, técnicas de procesamiento, análisis espacial e interpretación de datos, creación de productos basados en los resultados de los análisis y publicación con herramientas online de ESRI.

The course is aimed to provide an introduction to operational oceanography, discovery and use of operational ocean data products and services, hands on for visualizing the in situ, remote sensing and model derived data products.