![]() The spectral similarity measurements, which are obtained using classifiers, provide this capability. The second step evaluates the capability of remote simulated data to characterize this surface. The first step creates an accurate dataset of remote simulated data, using in situ hyperspectral reflectances. The purpose is to identify the best remote data that improves the characterization of a surface, evaluating the number of bands in the spectral range. This methodology assesses the accuracy with which remote data characterizes a surface, as a function of Full Width at Half Maximum ( FWHM). A Methodology to Assess the Accuracy with which Remote Data Characterize a Specific Surface, as a Function of Full Width at Half Maximum ( FWHM): Application to Three Italian Coastal WatersĬavalli, Rosa Maria Betti, Mattia Campanelli, Alessandra Di Cicco, Annalisa Guglietta, Daniela Penna, Pierluigi Piermattei, Viviana
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