HYPERSPECTRAL DATA PROCESSING TECHNIQUES APPLIED TO ASTER AND WORLDVIEW-2 DATA – A PREVIEW FOR WORLDVIEW-3

The field of remote sensing has benefited greatly in the last several years due to the increase in spatial and spectral resolution of sensors on commercial satellites. ASTER and WorldView-2 are examples of satellites with increased spectral capabilities. More channels sampling more wavelengths equals more information, so typically more materials can be mapped with data from these sensors. The spectral resolution of ASTER and WorldView-2 allows hyperspectral processing techniques to be used on data from these sensors. WorldView-3 due to be launched this year, will be like combining the channels of ASTER with WorldView-2 and having the spatial resolution of WorldView-2. The work presented here shows the results of processing multispectral data using hyperspectral techniques. Processing tools used include partial unmixing routines and logical expressions. Verification of results will be done using a new generation of field spectrometer that automatically identifies minerals. This identification is accomplished by comparing reflectance spectra of field samples to spectral libraries.