Hyper/Multispectral data provide information about characteristic of natural and antropic surfaces. In order to retrieve the mineralogical species composing the Castel Porziano Beach (CPB), remote sensed data needs to be atmospherically corrected. In this work a new tool for the atmospheric correction for spaceborne EO data, based on MODTRAN and 6S codes, and developed on IDL/ENVI platform will be proposed and tested using NASA HYPERION and ASTER data. In this paper the capability to identify mineral association composing the sand of the CPB emerged beach, using hyperspectral data is shown. In order to define the mineralogical composition of the collected sample, SEM EMPA (Scanning Electron Microscopy and Electron MicroProbe Analyser) and optical polarizing microscopy analysis have been done. Results have been compared with 300 measurements performed directly on the CPB sand and 300 measurement acquired in the laboratory, both using an ASD-Fieldspec.