If you’re lucky enough to visit Antarctica, you’ll probably aim to snag a classic photo—a colony of penguins, set against the chilly, barren landscape. But now, in addition to being a cherished memory, those pictures could turn out to be a valuable source of ecological data.
Writing in the journal PLOS One, researchers describe a computer vision technique that uses elevation data combined with landscape features in photographs to allow the images to be positioned in a 3D rendering of the Antarctic landscape. And that allows scientists to map the precise boundaries of penguin colonies over time, even without knowing who held the camera or where the photographer was standing.
Dr. Heather Lynch, the Institute for Advanced Computational Science Endowed Professor of Ecology & Evolution at Stony Brook University, joins guest host Rachel Feltman to discuss the technique, and the value in being able to extract scientific data from pictures stored in photo albums and museum archives.
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Segment Guests
Heather Lynch
Dr. Heather Lynch is the Institute for Advanced Computational Science Endowed Professor of Ecology & Evolution at Stony Brook University in Stony Brook, New York.
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