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A classification method of hyperspectral reflectance images named CHRIPS (Classification of Hyperspectral Reflectance Images with Physical and Statistical criteria) is presented. This method aims at classifying each pixel from a given set of thirteen classes: unidentified dark surface, water, plastic matter, carbonate, clay, vegetation (dark green, dense green, sparse green, stressed), house roof/tile , asphalt, vehicle/paint/metal surface and non-carbonated gravel. Each class is characterizeddoi:10.3390/rs12142335 fatcat:nx3gttyd7jcrxlxe3iu7stkdrq