Courses tagged with "ioc_programme::iode"
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.
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.
- Datas do curso: 9 Maio - 10 Junho 2022
- Mais informações sobre o curso e como submeter uma candidatura em https://oceanexpert.org/event/3538
- Candidaturas até 24 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.
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
SIG Marino 2022
Tecnologías de Información (SIG) aplicado al Medio Marino y Costero. Caso de estudio: Determinación de zonas de conservación con ArcGIS
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.
OTGA Copyright Guidelines
This 2 week-long module on Ocean Data Management is part of the Nippon Foundation-POGO Centre of Excellence (NF-POGO CofE) and hosted by AWI (cohort 2022). This module is part of an intensive training course for young professionals at the post-graduate level, ten months in duration, with an intake of ten trainees per year. The course is sponsored by the Nippon Foundation and hosted by the Alfred Wegener Institute for Polar and Marine Research.
This module provides a comprehensive introduction to a wide variety of earth science datasets, formats and analysis software. Students will learn and practice methods using a common ocean area, and they are expected to create a personal project of data products for a marine region of their own choosing. Personal projects are presented by the students at the end of the course.
Course/Module Dates: 28 March-8 April 2022