Oceanography | Vol.31, No.3
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SPECIAL ISSUE GUEST EDITORS
• ADRIAN CONSTANTIN, University of Vienna
• GEORGE HALLER, ETH Zürich
06
DEPARTMENTS
03
QUARTERDECK. Let’s Try Some Math for a Change
By E.S. Kappel
05
FROM THE PRESIDENT. Policies for a Member-Run Organization
By A.C. Mix
06
RIPPLE MARKS. Over the Hump: Beleaguered in Whaling Days,
Humpback Whales Chart a New Course in the Gulf of Maine
By C.L. Dybas
104 THE OCEANOGRAPHY CLASSROOM. You Say Color, I Say Colour,
She Says Colugo
By S. Boxall
106 CAREER PROFILES. Anna J. Malek Mercer, Executive Director,
Commercial Fisheries Research Foundation • Orens de Fommervault,
Research Scientist, Alseamar
Deep Learning for
Image Analysis
Sediment profile imaging of the seafloor
is a cost-effective technique for mapping
the seabed. We have now paired this
technique with iSPI, a state-of-the-art
image processing platform that harnesses
computer vision and pattern recognition
technologies.
Combining imaging and automation to
overcome environmental monitoring challenges
For more information, contact
Brandon Sackmann, Ph.D., at bsackmann@integral-corp.com
www.integral-corp.com/capability/technology/sediment-profile-imaging/
SPI camera
Oceanography
THE OFFICIAL MAGAZINE OF THE OCEANOGRAPHY SOCIETY
VOL.31, NO.3, SEPTEMBER 2018
SPECIAL ISSUE ON
the Mathematical Aspects of
Physical Oceanography
ON THE COVER
This SeaWiFS image, constructed using data collected on June 13,
2002, highlights the presence of biological activity in the ocean
west of British Columbia’s Queen Charlotte Islands and Alaska’s
Alexander Archipelago. The bright red, green, and turquoise
patches, which indicate high concentrations of chlorophyll, also
make visible a number of eddies in the Pacific Ocean. Image
credit: SeaWiFS Project, NASA/Goddard Space Flight Center,
and ORBIMAGE