Co-ReSyF Workshop

We are delighted to announce that Co-ReSyF will be hosting a one and a half-day workshop in the Centre for Marine and Renewable Energy (MaREI), Ringaskiddy, Cork on Thursday October 4th and Friday October 5th 2018.

This event aims to bring together researchers and organisations broadly working in the coastal and marine research fields to demonstrate the uses of Earth Observation data and how it may benefit your work. Co-ReSyF has brought together leading international experts in coastal research and satellite observation fields to present the latest in marine and coastal satellite innovations. Together we will discuss strategic developments for enabling coastal research growth, with the aim to provide recommendations to European funding and governing bodies. This event is a unique opportunity to learn about the latest advances and opportunities available in marine and coastal EO and to collaboratively discuss where research needs to go to address future coastal issues.

Day 1 consists of an exciting line up of coastal research experts from throughout Europe. The presentations will focus on presenting the latest developments in coastal and Earth Observation (EO) research from a host of organisations (e.g ESA, EurOcean, Future Earth Coasts). In addition, there shall be interactive open discussions where attendees may offer their expert opinion and feedback to highlight and develop recommendations based on our coastal community’s needs.

Day 2 will consist of a half-day of presentations and live demonstrations of the Co-ReSyF platform. Co-ReSyF will provide a dedicated data access and processing platform, with automated tools, methods and standards to support research applications using EO data for monitoring of Coastal Waters. Through Co-ReSyF‘s collaborative front end, even inexperienced researchers in EO will be able to upload their applications to the system to compose and configure processing chains for easy deployment on the cloud infrastructure. Advanced users will also be able to go further and take full control of the processing chains and algorithms by having access to the cloud back-end and to further optimise their applications for fast deployment for big data access and processing.