T. V. V. King Todd M. Hoefen Raymond F. Kokaly 2011 <p><span>Identifying materials by measuring and analyzing their reflectance spectra has been an important method in analytical chemistry for decades. Airborne and space-based imaging spectrometers allow scientists to detect materials and map their distributions across the landscape. With new satellite-borne hyperspectral sensors planned for the future, for example, HYSPIRI (HYPerspectral InfraRed Imager), robust methods are needed to fully exploit the information content of hyperspectral remote sensing data. A method of identifying and mapping materials using spectral feature based analysis of reflectance data in an expert-system framework called MICA (Material Identification and Characterization Algorithm) is described in this paper. The core concepts and calculations of MICA are presented. A MICA command file has been developed and applied to map minerals in the full-country coverage of the 2007 Afghanistan HyMap hyperspectral data.</span></p> application/pdf 10.1109/IGARSS.2011.6049370 en Institute of Electrical and Electronic Engineers Mapping the distribution of materials in hyperspectral data using the USGS Material Identification and Characterization Algorithm (MICA) text