01966naa a2200253 a 450000100080000000500110000800800410001910000180006024501200007826000090019830000180020752011960022565000110142165000130143265000120144565000120145765000250146965300260149465300110152065300100153165300190154170000260156077301260158615448371999-03-11       1998    bl uuuu     u00u1 u    #d1 aCROSTA, A. P.  aHyperspectral data processing for mineral mapping using A VIRIS 1995 data in Alto Paraiso de Goias, Central Brazil.  c1998  anao paginado.  aHyperspectral remote sensing data were acquired in some areas of Brazil in 1995, using NASA's Advanced Visible and Near-Infrared Imaging Spectrometer (A VIRIS). This paper examines the performance of image processing techniques specifically developed for hyperspectral data in the context of mineral mapping applications. The area chosen, located in Goias State, Central Brazil, near the locality of Alto Paraiso de Goias, had relatively sparse vegetation at the time of imagery acquisition (dry season). The regional geology comprises a variety of fluvial and marine Precambrian metasediments. Image processing was carrid out in two steps: (i) data conversion from radiance units to reflectance using a MODTRAN-based radiative transfer method and; (ii) application of the Tricorder mapping algorithm, specifically designed for identifying superficial materials based on similarities between image pixels and spectra from a spectral library. The results show that hyperspectral remote sensing can add significantly to the amount information that can be extracted from multispectral sensors, such as the Landsat TM, and is a valuable tool for mapping and exploration in sub-tropical regions.l  aBrazil  aminerals  aCerrado  aMineral  aSensoriamento Remoto  aAlto Paraiso de Goias  aBrasil  aGoias  aRemoto sensing1 aSOUZA FILHO, C. R. de  tIn: SIMPOSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 9., 1998, Santos, SP. Anais. Sao Jose dos Campos: INPE/MCT/SELPER, 1998.