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2d ESA Advanced Training Course on Remote Sensing of the Cryosphere 2018
June 11, 2018 - June 16, 2018
University Centre in Svalbard (UNIS)
As part of the Earth Observation (EO) Science for Society – Scientific Exploitation element of EOEP-5 program, the European Space Agency (ESA) organised an advanced training course on remote sensing of the Cryosphere, devoted to train the next generation of scientists and specialists to exploit EO data for science and applications.
Postgraduate-level, PhD students, post-doctoral research scientists and users from Europe and Canada interested in applications of remote sensing of the Cryosphere were welcome to apply to the 6-day course, which was held at University Centre in Svalbard (UNIS) in Longyearbyen, Svalbard, from 11 to 16 June 2018. Participants from all other countries were also welcome to apply, subject to availability of places.
No participation fees were charged for the training. Participants were expected to finance their own travel and accommodation expenses. The official language of the course was English.
The Advanced Cryosphere Training Course aimed at:
- Training the next generation of scientists on Remote Sensing of the Cryosphere;
- Providing an advanced understanding of theoretical principles, processing algorithms, data products and their use in applications;
- Giving hands-on practice with tools and methods for satellite data exploitation as well as fieldwork experience for in-situ cryosphere-related data collection;
- Providing insights of EO challenges/opportunities within the polar context for further studies.
The course provided advanced scientific knowledge on theory and applications for Cryosphere remote sensing. It was organised around 5 main topics:
- State of art of EO of the Cryosphere and presentation of the Sentinel ESA/National and Third Party Cryosphere missions and Svalbard geographical importance within EO data system;
- Theoretical fundamentals of spaceborne optical, thermal and SAR remote sensing;
- Lectures on EO Cryosphere applications;
- Praticals using toolboxes for data exploitation, processing and product demonstrations;
- Fieldwork for in-situ data collection.
The formal lectures were given by leading scientists and professors and computing exercises took place on a virtual machine. The half-day fieldwork was held during the week for posterior integration with satellite data.
Participants were expected to give a lightning talk on their current relevant research.