Evaluation of multi-spectral cube from multi-sensor imagery corresponding to hyperspectral imagery

In this paper, we evaluate the incorporation of open source multi-spectral imagery from Landsat-8 and Sentinel-2 to form a multi-spectral cube that represents the surface reflectance in near full wave spectra for various distinct natural objects from two study areas. The results from the integration are evaluated with respect to EO-1: Hyperion hyperspectral imagery. A three-stage evaluation strategy is proposed based on the spectral response, classification and endmember identification using spectral unmixing.