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. We are using several geologic test sites to establish geologic background and characterize and map human-induced change in the form of mine excavations, mine tailings, mine waste, and acid runoff using HSI and ASTER data. The HSI data are atmospherically corrected using commercial-off-the-shelf (COTS) atmospheric correction software. Data are then analyzed to determine spectral endmembers and their spatial distribution, and validated using field spectral measurements. Spectral modeling is used to convert HSI spectral signatures to the ASTER spectral response. Reflectance-corrected ASTER data are then used to extend the hyperspectral mapping to the full ASTER spatial coverage. Field verification of ASTER mapping results is conducted and accuracy assessment performed. Additional geologic sites are also being assessed with ASTER using the modeling methodology based on scene-external HSI and/or field spectra (but without scene-specific a priori hyperspectral analysis or knowledge). These results are further compared to field measurements and subsequent hyperspectral analysis and mapping to validate the spectral modeling approach.
Regional Mineral Mapping By Extending Hyperspectral Signatures Using Multispectral Data
2007-03-01
4536341 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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