Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/9361
Authors: Amici, S.* 
Piscini, A.* 
Neri, M.* 
Title: Reflectance Spectra Measurements of Mt. Etna: A Comparison with Multipsectral/Hyperspectral Satellite
Journal: Advances in Remote Sensing 
Series/Report no.: /3 (2014)
Publisher: An Academic Publisher
Issue Date: 10-Nov-2014
DOI: 10.4236/ars.2014.34016
URL: http://www.scirp.org/Journal/PaperInformation.aspx?PaperID=52072#.VOtBFnyG_To
Keywords: Reflectance spectra
satellite
Etna
Subject Classification04. Solid Earth::04.02. Exploration geophysics::04.02.99. General or miscellaneous 
04. Solid Earth::04.04. Geology::04.04.99. General or miscellaneous 
04. Solid Earth::04.08. Volcanology::04.08.99. General or miscellaneous 
04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring 
04. Solid Earth::04.08. Volcanology::04.08.07. Instruments and techniques 
05. General::05.03. Educational, History of Science, Public Issues::05.03.99. General or miscellaneous 
05. General::05.04. Instrumentation and techniques of general interest::05.04.99. General or miscellaneous 
Abstract: The reflectance spectra were measured with a FieldSpecPro from 350 nm to 2500 nm during a fieldwork in June 2007. The reflectance has been compared with reflectance obtained by multispectral Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) and by hyper spectral EO1-Hyperion satellites. Prior the comparison, reflectance spectra have been convolved with ASTER and EO1-Hyperion spectral functions. The results show percentage errors in accordance to those present in literature in the ASTER SWIR range. However, some differences have been confirmed for the ASTER reflectance product (ASTER_07) in visible channels. Regarding EO1-Hyperion, a good agreement of reflectance against field measurement has been found resulting in 5% percentage maximum error in the VIS and up 30% in SWIR spectral range. The capacity of reproducing spectral feature by EO1-Hyperion has been checked on bright pixels (ice-snow) in the acquired image.
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