 Space-borne hyperspectral imagery can provide valuable information about minerals and other materials present in an area. However, its low spatial resolution limits its use in some applications. To address this issue, researchers have developed methods to combine hyperspectral data with higher resolution satellite imagery to create a more detailed picture of the area. In particular, they have used matrix factorization techniques to fuse N-MAP hyperspectral data with Sentinel-2 data to produce a resolution-enhanced version of the N-MAP data. The resulting data has been shown to maintain high spectral and spatial fidelity, allowing it to be used in mineral mapping applications. This article was authored by Naoto Yokoya, Jonathan Chung-Wai Chan and Carl Segel.