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

Sensors

Rosa Maria Cavalli²  Mattia Betti⁴  Alessandra Campanelli⁴  Annalisa Di Cicco¹  Daniela Guglietta³  Pierluigi Penna⁴ 

[1] Laboratory of Experimental Oceanology and Marine Ecology DECOS, University of Tuscia, Molo Vespucci, Porto di Civitavecchia, Civitavecchia (RM) 00053, Italy; E-Mails:;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;Italian National Research Council, Institute of Environmental Geology and Geoengineering, CNR-IGAG, Area della Ricerca di Roma1, Via Salaria Km 29,300, Monterotondo (RM) 00016, Italy; E-Mail:;Italian National Research Council, Marine Science Institute CNR-ISMAR, Largo Fiera della Pesca, Ancona (AN) 60125, Italy; E-Mails:

关键词: accuracy;    characterization capability;    FWHM;    in situ hyperspectral reflectance;    spectral similarity measurements;    coastal water reflectance;    CHRIS data;    Landsat5-TM data;    MIVIS data;    PRISMA data;   

DOI  :  10.3390/s140101155

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.