Cornell Summer Satellite Remote Sensing Training Course
June 5 – June 16, 2017, Cornell University, Ithaca New York
A two-week summer satellite remote sensing training program 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, VIIRS and OLCI (Sentinal-3) data.  Pre-written python scripts will be used in conjunction with SeaDAS to batch process large quantities of ocean color data from Level-1 to Level-3.
Developing good Python programming skills needed for data analysis and visualization is a central component of this course.
The program also addresses the acquisition and use of Level-3 satellite data products for sea surface temperature, ocean wind speed and sea surface height.
For more information:
Visit: Â Â www.geo.cornell.edu/ocean/satellite
Email:  Bruce Monger (bcm3@cornell.edu)