[Jpjobs] [ocean-color] Cornell Summer Satellite Remote Sensing Training Course - May 30 - June 13, 2014

[James Yoder]

Cornell Summer Satellite Remote Sensing Training Course
May 30 - June 13, 2014, Cornell University, Ithaca New York
A two-week summer satellite remote sensing training course is being 
offered once again to marine scientists who have modest or no prior 
experience with satellite remote sensing techniques. The course is 
highly methods-oriented and intended to give participants the practical 
skills needed to work independently to acquire, analyze and visualize 
large data sets derived from a wide range of ocean satellite sensors. 
Strong emphasis is given to ocean color remote sensing and the use of 
the latest version of NASA’s SeaDAS software to derive mapped imagery of 
geophysical parameters (e.g., chlorophyll or CDOM) from raw SeaWiFS, 
MODIS, MERIS and VIIRS data.  The course also covers image 
analysis methods to work with satellite imagery of sea surface 
temperature, ocean wind speed and sea surface height.  Developing good 
IDL programming skills for data analysis and visualization is a central 
component of the course. A new topic added for the first last year, and 
continued this year, is a basic introduction to Python programming 
language and running SeaDAS with Python scripts to batch process ocean 
color data from Level-1 to Level-3.  The Python component is smaller 
than the IDL component, but nonetheless represents an import opening for 
those wishing move toward a Python-based programming approach.

For more information application instructions: Visit: 
www.geo.cornell.edu/ocean/satellite 
<http://www.geo.cornell.edu/ocean/satellite>
Email:  Bruce Monger (bcm3 at cornell.edu <mailto:bcm3 at cornell.edu>)


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