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University of Alaska Fairbanks


Seismic data can identify aircraft by type

Researchers at University of Alaska Fairbanks used seismic data to identify aircraft types by analyzing frequency imprints from sound waves. The method involves removing Doppler effect and creating a frequency comb, which is then matched with a catalog of aircraft frequency patterns.

SourceUniversity of Alaska Fairbanks·JournalThe Seismic Record·TypeMeta-analysis·DateNov 18, 2025

Research shows Alaska early quake warning system could provide critical seconds

A proposed earthquake early warning system for Alaska could provide critical seconds of warning time before strong shaking, according to research by Alex Fozkos. The system would use a network of seismic sensors to detect an earthquake's fast-moving primary waves and send alerts before slower secondary waves arrive.

SourceUniversity of Alaska Fairbanks·JournalBulletin of the Seismological Society of America·DateAug 5, 2025

New way to spot beetle-killed spruce can help forest, wildfire managers

A new machine-learning system can automatically produce detailed maps from satellite data to show locations of likely beetle-killed spruce trees in Alaska. This helps forestry and wildfire managers make critical decisions as the beetle infestation spreads, affecting approximately 2 million acres across Southcentral Alaska.

SourceUniversity of Alaska Fairbanks·JournalISPRS Journal of Photogrammetry and Remote Sensing·DateJun 12, 2024

Dinosaur study challenges Bergmann’s rule

A new study by University of Alaska Fairbanks researchers challenges the long-held scientific principle that animals in high-latitude climates are larger than their relatives in warmer climates. The study found that Bergmann's rule applies only to a subset of homeothermic animals and ignores other climatic variables.

SourceUniversity of Alaska Fairbanks·JournalNature Communications·DateApr 5, 2024