Courses tagged with "IODE"
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
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.
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.
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.
NOTE: The first edition of the course (19-23 April 2021) is full.
NOTE: This is edition September 2021