Temperature and emissivity separation from ASTER on EOS AM-1 - preflight validation by ASTER airborne simulator

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The thermal infrared sensor of ASTER on EOS AM-1 will provide surface kinetic temperature and spectral emissivity. The temperature and emissivity separation(TES) algorithm of ASTER is based on the empirical relation of emissivity spectra. Prior to this study, TES algorithm has been validated by spectrum of rock samples or low spectral resolution airborne field data. Thus this study is the first validation test of ASTER TES by using the actual TIR field data with very high spectral resolution. Newly developed ASTER airborne simulator(AAS) was used to obtain this kind of TIR data, which has the capability to obtain the multispectral TIR data with 0.2μm spectral resolution. The field test site was Cuprite, Nevada. The basaltic zone, silicified mountain and playa are typical targets of the flights. ASTER simulation data sets were synthesized from the AAS data. Then ASTER TES algorithm was applied to these simulation data to extract the temperature and the emissivity. These are compared with the actually measured spectral characteristics of samples. As the results, the derived emissivity spectra have a good agreement with those of sample data. Then the validity of ASTER TES algorithm was demonstrated.

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