ALASKA: EPSCoR student lead author of paper in International Journal of Applied Earth Observation and Geoinformation
Alaska EPSCoR PhD student Anushree Badola is lead author on an article just published in the International Journal of Applied Earth Observation and Geoinformation, describing a method of simulating hyperspectral imagery from satellite images.
From the Abstract:
Detailed vegetation maps are one of the primary inputs for forest and wildfire management. Hyperspectral remote sensing is a proven technique for detailed and accurate vegetation mapping. However, the availability of recent hyperspectral imagery in Alaska is limited because of the logistics and high cost involved in its acquisition. In this study, we simulated AVIRIS-NG (Airborne Visible InfraRed Imaging Spectrometer - Next Generation) hyperspectral data from widely available Sentinel-2 multispectral data using the Universal Pattern Decomposition Method (UPDM).