Syllabus

Monday 03/07  
09:00-13:00
– Personal introductions and overview of course content
– Introduction to remote sensing and basic image analysis concepts (lecture)
14:00-18:00
– Working with UNIX and Python (lecture)
– Setting up computer user accounts and begin working with Python
Tuesday 04/07  
09:00-13:00
– Fundamentals of optics (lecture)
– Continue Python (computer work)
14:00-18:00 – Continue Python (computer work)
Wednesday 05/07  
09:00-13:00 – Pigment Algorithms (lecture)
– Primary Production Algorithms (lecture)
14:00-18:00 – Atmospheric correction (lecture)
– Continue Python (computer work)
Thursday 06/07  
09:00-13:00 – Introduction to SeaWiFS, MODIS, MERIS, VIIRS and HICO
14:00-18:00 – Ordering SeaWiFS/MODIS/MERIS/VIIRS Data (lecture)
– Ordering SeaWiFS/MODIS/MERIS/VIIRS Data (computer work)
Friday 07/07  
09:00-13:00 – Using SeaDAS in Interactive/GUI Mode (lecture)
– Using SeaDAS in Interactive/GUI Mode (computer work)
14:00-18:00 – Running SeaDAS with pre-written Python Scripts for batch processing data from Level-1 to Level-3 (lecture)
– Running SeaDAS with pre-written Python Scripts for batch processing data from Level-1 to Level-3 (computer work)
Weekend Break (08 & 09/07): Students will have the weekend free to do anything they want. Suggestions will be provided on the best places to visit while in Cyprus.
Monday 10/07  
09:00-13:00 – Running SeaDAS with pre-written Python Scripts for batch processing data from Level-1 to Level-3 (computer work)
14:00-18:00 – Running SeaDAS with pre-written Python Scripts for batch processing data from Level-1 to Level-3 (computer work)
Tuesday 11/07  
09:00-13:00 – SST theory, data download and reading data into Python (lecture)
– SST theory, data download and reading data into Python (computer work)
14:00-18:00 – SST theory, data download and reading data into Python (computer work)
Wednesday 12/07  
09:00-13:00 – Wind theory, data download and reading data into Python (lecture)
– Wind theory, data download and reading data into Python (computer work)
14:00-18:00 – Wind theory, data download and reading data into Python (computer work)
Thursday 13/07  
09:00-13:00 – Altimetry theory, data download and reading data into Python (lecture)
– Altimetry theory, data download and reading data into Python (computer work)
14:00-18:00 – Altimetry theory, data download and reading data into Python (computer work)
Friday 14/07  
09:00-13:00 – Empirical Orthogonal Function (EOF) Analysis (lecture)
– Empirical Orthogonal Function (EOF) Analysis (computer work)