This autumn, SIOS will offer a training course on how to effectively use satellite data, tools and software in the context of marine research in Svalbard. The course is intended for researchers, PhD students and technicians with no or little experience with satellite remote sensing techniques. The training will be delivered by marine remote sensing experts from SIOS member institutions and ESA.
Time: 2-5 September 2019
Location: Longyearbyen, Svalbard
Goal of the training
The goal of the course is to teach participants the basic skills needed to work independently to acquire, analyse and visualise marine data sets derived from a variety of satellite sensors.
Many field scientists, field oceanographers, biological oceanographers and marine biologists from SIOS member and observer institutions have been working on research projects which would greatly benefit from the addition of a satellite remote sensing viewpoint. However, they may lack the necessary training required to make easy but effective use of freely available data sets, tools, and software. Ph.D. students from SIOS member or observer institutions who are about to begin careers using satellite remote sensing as an integral part of their research projects can also benefit from this training course.
Topics covered during the training
The training course will include lectures and hands-on sessions focusing on:
- overview of marine satellite remote sensing applications using Copernicus satellites,
- online free and open data for marine scientists,
- portals for data visualisation and various data inventories for field scientists,
- retrieval of high-resolution ice drift and deformation from SAR,
- remote sensing of phytoplankton blooms using case studies, in situ and satellite-based primary productivity and bio-optical studies in fjords,
- estimation of chlorophyll and generation of chlorophyll maps of fjords of Svalbard.
Anyone from field scientists, marine scientists, biological oceanographers and marine biologists with little or no background in remote sensing.