The field of remote sensing has benefited greatly in the last several years due to the increase in both spatial and spectral resolution of sensors on commercial satellites. ASTER, with 9 channels in the visible through shortwave infrared, and WorldView-2, with 8 channels in the visible and near infrared, are examples of satellites with increased spectral capabilities. Added channels sampling additional wavelengths means more information, so typically more materials can be mapped with data from these sensors. WorldView-3, launched last year, provides the benefit of combining the spectral channels of ASTER with those of WorldView-2 and having the detailed spatial resolution of WorldView-2. The spectral resolution of these "superspectral" sensors allows the use of hyperspectral data processing techniques. The work presented here shows the results of processing these data using hyperspectral techniques. Recent developments with multispectral and hyperspectral sensors have made them small enough that they can be flown on Unmanned Aerial Vehicles (UAVs). Data collection with UAVs is typically less expensive than with manned aircraft so UAV surveys will be more feasible for junior exploration companies.
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