Monday, February 25, 2013

Ocean Optics Summer Class - July 7 – August 2, 2013 at the University of Maine, Darling Marine Center

Ocean Optics Summer Class: 

Calibration and validation of ocean color remote sensing. 

July 7 – August 2, 2013 at the Darling Marine Center

 An intensive four-week, cross-disciplinary, graduate-level course in Optical Oceanography will be offered at the University of Maine, Darling Marine Center in summer 2013.  This class is a continuation of the Optical Oceanography course first offered at the Friday Harbor Laboratories in 1985 and more recently at the Darling Marine Center.  Past graduates are many of today's leaders in oceanography.

 The major theme of the course is calibration and validation of ocean color remote sensing. The course will provide students with a fundamental knowledge of ocean optics and optical sensor technology that will enable them to make quality measurements, be able to assess the uncertainties associated with the measurements and compare these data with remotely sensed ocean color measurements and products derived from them. The course is sponsored by NASA and the University of Maine, with the goal of preparing a new generation of oceanographers trained in the use of optics to study the oceans.

Course elements include:

• lectures on the basic theory of the light interaction with matter in aquatic environments, ocean color remote sensing and its inversion, sensor design and function, and ocean biogeochemistry; computation and propagation of measurement uncertainties;

• laboratory sessions using optical instrumentation and radiative transfer software;

• field sampling of optical and biogeochemical variables in the environmentally diverse waters of coastal Maine;

• analysis of optical and biogeochemical data sets; and

• collaborative student projects.

See: http://misclab.umeoce.maine.edu/~optics/ for previous class content and activities.

 Instructors (alphabetical):  Emmanuel Boss (coordinator), Curt Mobley, Mary Jane Perry, Collin Roesler, Ken Voss, Jeremy Werdell and Ron Zaneveld.

 Dates:  July 7– August 2nd, 2013

Costs: Scholarships for Tuition, room and board and academic credits are available. Please indicate if you require one.

 Registration: Registration deadline is March 1st, 2013, notification by April 1st, 2013. Registration at http://server.dmc.maine.edu/courses.html

 Acceptance criteria:  likely impact of the class on the individual's career, transcripts, letter from the academic advisor/supervisor, and diversity.  While the majority of the class will likely be composed of early career graduate students, advanced students and post-doctoral fellows will be considered for admission.


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Emmanuel Boss, Professor
School of Marine Sciences
5706 Aubert Hall, University of Maine
Orono, ME 04469-5706
Tel: 207-581-4378, Cell: 207-356-9147
Fax: 207-581-4388
emmanuel.boss@maine.edu
http://misclab.umeoce.maine.edu/boss/boss.php
skype: emmanuel.boss
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Wednesday, February 20, 2013

Summer Satellite Remote Sensing Training Course - Cornell University, Ithaca New York

Summer Satellite Remote Sensing Training Course
May 31 - June 14, 2013, Cornell University, Ithaca New York
A two-week summer satellite 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 variety of ocean satellite sensors. Strong emphasis is given to ocean color remote sensing and the use of NASA's SeaDAS software (both version 6 and 7-beta) 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 being added this year is a basic introduction to Python programming and running SeaDAS with relatively simple Python scripts to batch process ocean color data from Level-1 to Level-3.

For more information (including course syllabus and application instructions):
Visit:   www.geo.cornell.edu/ocean/satellite
Email:  Bruce Monger (bcm3@cornell.edu)


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