Regional Mineral Mapping By Extending Hyperspectral Signatures Using Multispectral Data

Abstract

Hyperspectral imaging (HSI) data in the 0.4 -2.5 micrometer (VNIR/SWIR) spectral range allow direct identification of minerals using their fully resolved spectral signatures, however, spatial coverage is limited. Multispectral Imaging data (MSI) (e.g. data from the Advanced Spaceborne Emission and Reflection Radiometer, ASTER) are spectrally undersampled and may not allow unique identification, but they do provide synoptic spatial coverage. Combining the two data types by modeling hyperspectral signatures to ASTER band passes allows extending HSI mapping results to regional scales and leads to improved mineral mapping over larger areas.