title: 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 waters.
abstract: This methodology assesses the accuracy with which remote data characterizes a surface, as a function of Full Width at Half Maximum (FWHM). 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. The first step creates an accurate dataset of remote simulated data, using in situ hyperspectral reflectances. The second step evaluates the capability of remote simulated data to characterize this surface. The spectral similarity measurements, which are obtained using classifiers, provide this capability. The third step examines the precision of this capability. The assumption is that in situ hyperspectral reflectances are considered the "real" reflectances. They are resized with the same spectral range of the remote data. The spectral similarity measurements which are obtained from "real" resized reflectances, are considered "real" measurements. Therefore, the quantity and magnitude of "errors" (i.e., differences between spectral similarity measurements obtained from "real" resized reflectances and from remote data) provide the accuracy as a function of FWHM. This methodology was applied to evaluate the accuracy with which CHRIS-mode1, CHRIS-mode2, Landsat5-TM, MIVIS and PRISMA data characterize three coastal waters. Their mean values of uncertainty are 1.59%, 3.79%, 7.75%, 3.15% and 1.18%, respectively.
authors.affiliation: Italian National Research Council, Institute for Atmospheric Pollution Research, CNR-IIA, Area della Ricerca di Roma1, Via Salaria Km 29,300, Monterotondo (RM) 00016, Italy. cavalli@iia.cnr.it.
authors.forename: Rosa Maria
authors.initials: RM
authors.lastname: Cavalli
authors.affiliation: Italian National Research Council, Institute for Atmospheric Pollution Research, CNR-IIA, Area della Ricerca di Roma1, Via Salaria Km 29,300, Monterotondo (RM) 00016, Italy. mattia.betti@an.ismar.cnr.it.
authors.forename: Mattia
authors.initials: M
authors.lastname: Betti
authors.affiliation: Italian National Research Council, Institute for Atmospheric Pollution Research, CNR-IIA, Area della Ricerca di Roma1, Via Salaria Km 29,300, Monterotondo (RM) 00016, Italy. a.campanelli@an.ismar.cnr.it.
authors.forename: Alessandra
authors.initials: A
authors.lastname: Campanelli
authors.affiliation: Italian National Research Council, Institute for Atmospheric Pollution Research, CNR-IIA, Area della Ricerca di Roma1, Via Salaria Km 29,300, Monterotondo (RM) 00016, Italy. a.dicicco@unitus.it.
authors.forename: Annalisa
authors.initials: A
authors.lastname: Di Cicco
authors.affiliation: Italian National Research Council, Institute for Atmospheric Pollution Research, CNR-IIA, Area della Ricerca di Roma1, Via Salaria Km 29,300, Monterotondo (RM) 00016, Italy. daniela.guglietta@igag.cnr.it.
authors.forename: Daniela
authors.initials: D
authors.lastname: Guglietta
authors.affiliation: Italian National Research Council, Institute for Atmospheric Pollution Research, CNR-IIA, Area della Ricerca di Roma1, Via Salaria Km 29,300, Monterotondo (RM) 00016, Italy. p.penna@an.ismar.cnr.it.
authors.forename: Pierluigi
authors.initials: P
authors.lastname: Penna
authors.affiliation: Italian National Research Council, Institute for Atmospheric Pollution Research, CNR-IIA, Area della Ricerca di Roma1, Via Salaria Km 29,300, Monterotondo (RM) 00016, Italy. v.piermattei@unitus.it.
authors.forename: Viviana
authors.initials: V
authors.lastname: Piermattei
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D014867:Water / Q000032:analysis*
chemical_list: D014867:Water