 This paper investigates the potential of fusion-based resolution enhancement of hyperspectral data from mineral mapping using a pair of N-MAP and Sentinel-2 images over a mining area. The simulation is based on sensor end-to-end simulation tools, and the N-MAP image is fused with Sentinel-2 10M GST bands using a matrix factorization method to obtain resolution-enhanced N-MAP data at a 10M GST. Quality assessments of the enhanced data are conducted using quantitative measures and continuum removal, and both show that high spectral and spatial fidelity are maintained. The results of spectral unmixing are compared with those expected from high-resolution hyperspectral data at a 10M GST, demonstrating high resemblance and showing the great potential of the resolution enhancement method for N-MAP type data in mineral mapping. This article was authored by Naoto Yokoya, Jonathan Chun-Wai-Chan, and Carl Seigl.