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2011 - Cooperative Institute for Research in Environmental Sciences ...

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<strong>in</strong>g the collected data.<br />

GSD-04UnmannedAircraftSystems<br />

FEDERAL LEAD: SARA SUMMERS<br />

CIRES LEAD: ELIZABETH WEATHERHEAD<br />

NOAA Goal 3: Weather and Water<br />

Project Goal: Analyze sea ice images collected from satellite<br />

to automatically identify ice seals and derive fractal ice<br />

characteristics.<br />

Milestone 1. Evaluate measurements from unmanned<br />

aircraft systems (UAS) <strong>for</strong> their ability to measure sea ice<br />

characteristics and mar<strong>in</strong>e mammals.<br />

More than 27,000 images have been collected through<br />

NOAA’s Unmanned Aircraft Program. The analysis of<br />

these images, both to understand ice qualities and identify<br />

seals, is important to NOAA’s mission of understand<strong>in</strong>g<br />

and protect<strong>in</strong>g the world’s oceans. Techniques were<br />

successfully developed to automate analysis of images to<br />

describe the observed ice. Ice characteristics that are automatically<br />

described <strong>in</strong>clude: fraction of ice cover, amount<br />

A ribbon seal.<br />

of ice <strong>in</strong> each of the WMO classification of ice types and<br />

fractal dimensionality (edge-to-area ratio) of ice. Us<strong>in</strong>g a<br />

different set of programs, the images are also analyzed to<br />

help identify seals with<strong>in</strong> an image. Successful development<br />

of seal identification can allow <strong>for</strong> future unmanned<br />

aircraft flights to be used to identify seals and, potentially,<br />

estimate seal populations should flight transects offer sufficient<br />

coverage. These capabilities did not exist prior to<br />

this ef<strong>for</strong>t. Ef<strong>for</strong>ts are proposed to make these image-analysis<br />

techniques operational and usable <strong>for</strong> future flights.<br />

The merg<strong>in</strong>g of <strong>in</strong><strong>for</strong>mation on ice characteristics and<br />

seal identification <strong>in</strong>dicates that the seals show a dist<strong>in</strong>ct<br />

preference to certa<strong>in</strong> types of ice. Further analysis will<br />

be needed to confirm this as a general tendency and may<br />

give <strong>in</strong>sight <strong>in</strong>to the fragility of seal habitats <strong>in</strong> the Arctic.<br />

Product: Weatherhead, EC, Sea ice characteristics and ice<br />

seal behavior: New results from unmanned aircraft data,<br />

American Geophysical Union, Fall Meet<strong>in</strong>g 2010, abstract<br />

#C43D-0574.<br />

CIRES Annual Report <strong>2011</strong> 105

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