OceanTeacher Global Academy

O curso pretende aumentar a capacidade dos professores para tomar decisões, bem como comunicar e ensinar, sobre o oceano. Além disso, pretende potenciar o papel dos professores e educadores como multiplicadores desta capacidade, aumentando a capacidade dos seus alunos e comunidades escolares de transformar o conhecimento em efetivas mudanças de atitude. O curso abordará a Literacia do Oceano sob a abordagem multiperspetiva consagrada pela UNESCO e insere-se nos Objetivos de Desenvolvimento Sustentável 4 (Educação de Qualidade), 6 (Água potável e Saneamento), 12 (Produção e Consumo Sustentáveis), 13 (Ação Climática) e 14 (Proteger a Vida Marinha) da Agenda 2030. O curso fornecerá conhecimentos e ferramentas para a sala de aula que fomentam o pensamento crítico e compreensão sobre o oceano, aumentam a consciência sobre a nossa relação diária com o oceano e os nossos comportamentos que impactam a sustentabilidade do oceano. Pretende-se que as aprendizagens dos formandos sejam transferidas e adaptadas a contextos educativos formais.

El curso implica obtener conocimientos teóricos/prácticos para hacer trabajo de campo y muestreo en estuarios, humedales costeros y playas desde un punto de vista de la oceanografía física y geológica con relación a temas tanto biológicos como químicos. En cada caso se introducirán los equipos necesarios para cada ambientes con detalles de cómo se operan, calibran y se accede a los datos. Como se diseñan y desarrollan los trabajos de campo y el análisis de los riesgos que ellos implican. Se explicarán las técnicas de trabajo en laboratorio para el análisis de muestras. Finalmente se impartirán rudimentos de manejo de bases de datos y de métodos básicos de análisis de los datos.

The course serves as an introduction to R programming language and software environment (RStudio) for data exploration, cleaning, organizing, analysis and visualization. Relevant oceanographic (physical, chemical and biological) datasets will be used in the training, making it easy to relate, understand and apply the course concept. The course is designed for Early Career Ocean Professionals, hence, no prior experience is required. 

This free online training course is suitable for anyone responsible for collecting or managing marine environmental data in the public sector, industry or for education or research. Familiarity with different marine data types, and how data is acquired and used, would be helpful but not essential. Prior knowledge or practical experience of data management is not required. The course can be taken as a whole, or attendees can select modules according to two streams: Governance; Practical MEDIN.

Through the online AlgaeTraits portal, editors have access to the Aphia platform (the database behind WoRMS) to add new traits and related non-taxonomic information, and to make changes to already existing records. With this course, the AlgaeTraits editors will become more at ease with the online AlgaeTraits editing interface and will learn how to use the available functionalities and tools to standardize their actions and improve the AlgaeTraits and WoRMS databases.

El curso busca sentar las bases respecto a los conceptos y prácticas relacionadas con carbono azul (mitigación – captura de CO2) y adaptación en ecosistemas marinos y costeros, en el marco de la convención de cambio climático, el plan estratégico Ramsar 2016 – 2024 y los objetivos de Desarrollo Sostenible 13 y 14. Busca también una retroalimentación e intercambio de experiencias por parte de todos los participantes de acuerdo a sus conocimientos y lecciones aprendidas en temas de conservación y manejo de ecosistemas marinos y costero o planificación de usos en el territorio.

The training course provides an introduction to (genetic) data management and publication through the Global Genome Biodiversity Network (GGBN), as well as an introduction to the GGBN and the use of its data portal, the data standards and several case studies from Latin American institutions that have published data from different types of collections through the GGBN. The course purpose is to give the necessary foundations to professionals from Latin America to use the GGBN data infrastructure for publishing and giving visibility to the information they preserve.

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.

Las observaciones de hielo marino y témpanos son una fuente de información sobre lugares remotos como las regiones polares y son de gran utilidad para la cartografía de hielo y la validación de estudios climáticos.

Este curso está diseñado para certificar la capacidad de los observadores en aguas polares desde el proceso de formación del hielo marino hasta la realización de observaciones desde buques o estaciones utilizando el Sistema de Información Glaciología (SIGLAC).  Además, se darán los conocimientos para la interpretación de cartas de hielo y otras herramientas para usos operativos.

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.