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<div dir="ltr"><font face="LucidaBright-Demi">Cornell Summer
Satellite Remote Sensing Training Course<br>
<span tabindex="0" class=""><span class="">May 30</span></span>
- <span tabindex="0" class=""><span class="">June 13, 2014</span></span>,
Cornell University, Ithaca New York</font>
<div>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.</div>
<br>
For more information application instructions:
Visit: <a moz-do-not-send="true"
href="http://www.geo.cornell.edu/ocean/satellite"
target="_blank">www.geo.cornell.edu/ocean/satellite</a><br>
Email: Bruce Monger (<a moz-do-not-send="true"
href="mailto:bcm3@cornell.edu" target="_blank">bcm3@cornell.edu</a>)</div>
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