Oct 25-26, 2016. Ocean Virtual Laboratory training course at UPT, Timisoara, Romania : download the flyer of the training course

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Students wishing to participate can apply by clicking here or by filling this form and sending it to training-course.timisoara-2016nobotplease  oceandatalab.com

Extended Application deadline : 30th September 2016

The number of participants is limited and subject to selection of application

Introduction

The Ocean Virtual Laboratory project is organising the 2nd Multi-Sensor Synergy Training, focused on introducing new, efficient ways of satellite data processing and exploitation. Participants will get strong background in remote sensing, learn how to obtain and work with data from the state-of-art operational space missions.

Objectives

To discover and analyse, via the OVL platform, the synergy between various Ocean remote sensing datasets in the combination with model output and in-situ data.

Content

  1. Altimetry remote sensing
  2. SAR remote sensing
  3. Salinity remote sensing
  4. Ocean Color remote sensing
  5. Infrared remote sensing
  6. Python
  7. OVL Web GUI
  8. Presentation of following plugins:
    • Fusion
    • Propagation
    • Pan-sharpening
    • Gap-Filling
    • Noise filtering

Lecturers

Dr. Fabrice COLLARD, Dr. Anton KOROSOV, Pr Johnny Johannessen, Pr. Alexandru ISAR, Dr. Mirek DARECKI, Marta Konik and Corina Nafornita.




Exploring synergies amongst Ocean Remote Sensing datasets, Ocean Surface roughness (SAR sentinel-1) and Sea Surface Temperature (VIIRS denoised) are represented.


Application:

The number of participants is limited and subject to selection of application.
Applications must be sent before the 30th of September.
Notification of acceptance will be sent via e-mail at the beginning of October.

Student Project presentation:

Participants are invited to write a short description of their subject of research. The selected projects will be presented during the first day of the course.

Target group

Post graduate, PhD students, post doctoral research scientists from European countries and Canada.
Research scientists and students from all other countries are also welcome to apply up to the space availability limits.

Requirements for students and course attendees

Pass introduction to Python
Read the tutorial on Python up to part 1.3

Practical info
Participants are expected to finance their own travel and accommodation expenses.
All materials will be provided, however participants need to bring their own laptops.
No participation fees will be charged for the training.
The official language of the course is English.

Organizing committee:

Craig Donlon (ESA)
Fabrice Collard (ODL)
Cécile Salaun (ODL)
Alexandru ISAR (UPT)
Corina Nafornita (UPT)

Co-sponsors :

European Space Agency (ESA)

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