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