A new machine-learning system developed at the University of Alaska Fairbanks can automatically produce detailed maps from satellite data to show locations of likely beetle-killed spruce trees in Alaska, even in forests of low and moderate infestation where identification is otherwise difficult.
A new machine-learning system developed at the University of Alaska Fairbanks can automatically produce detailed maps from satellite data to show locations of likely beetle-killed spruce trees in Alaska, even in forests of low and moderate infestation where identification is otherwise difficult.
The automated process can help forestry and wildfire managers in their decisions. That’s critical as the beetle infestation spreads.
The Alaska Division of Forestry and Fire Protection calls the spruce beetle “the most damaging insect in Alaska’s forests.”
The identification system by assistant professor Simon Zwieback at the UAF Geophysical Institute was detailed in the ISPRS Journal of Photogrammetry and Remote Sensing on May 18. Zwieback is also affiliated with the UAF College of Natural Science and Mathematics.
Read more at University of Alaska Fairbanks
Image: Yuan Tian, a co-author on the bettle research paper, stands next to a dead spruce near Cantwell, Alaska. Photo by Simon Zwieback.
