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US–India radar satellite spots a ‘hummingbird’ in Antarctic ice

NISAR mapped cracks where flowing ice bends around a mountain peak.

◷ Core guide: about 2 min; explore more as needed↗ Source link availableSeptember 12, 2026

The U.S.–India NISAR satellite used L-band radar to produce an image of ice flowing around a mountaintop in East Antarctica. NASA’s Jet Propulsion Laboratory says the mountain obstructs ice flowing toward the ocean, creating stress and fractures in the surrounding surface. The image was produced in August 2025 and was nicknamed “the hummingbird” by NISAR scientists. Its magenta, green and white colours represent differences in how polarized microwave signals interact with and reflect from the ice. NISAR is the first satellite to carry two synthetic-aperture radar instruments operating at different wavelengths.

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NASA · JPL
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✦ US–India radar satellite spots a ‘hummingbird’ in Antarctic ice

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Scientific colours often represent measurements and must be read with the instrument method and repeated observations.

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NXTNEWS · ONE STORYUS–India radar satellitespots a ‘hummingbird’ inAntarctic ice✦ TAP A COLOUR BRANCH▤BriefingAn image can also be dataScientific method?Open questionsAn image can also be dataWhy should radar coloursnot be read like anordinary photograph?↗Key pointsRead scientific imagesmore carefullySee how climate researchgets data●RolesScientistsNASA · JPL#ConceptsAn image can also be dataScientific method◷SourcesAn image can also be dataNISAR mapped cracks whereflowing ice bends around amountain peak.◎To verifyHow can one strikingsatellite image become arepeatable scientificresult?This branch records openquestions and dates toverify; it does notpresent speculation asfact.
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NISAR mapped cracks where flowing ice bends around a mountain peak.
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An image can also be data
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An image can also be data · Scientific colours often represent measurements and must be read with the instrument method and repeated observations.
Why it matters
Read scientific images more carefully · See how climate research gets data · Understand international science partnerships