Hyperspectral sensor: A handy tool to evaluate the efficacy of cleaning procedures
Autor: | Pilar Costagliola, Silvia Vettori, S. Porcinai, A. Cagnini, Sandro Moretti, Elena Pecchioni, M. Verrucchi, F. Di Benedetto, Valentina Rimondi, E. Gioventù, M. Benvenuti |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Archeology
ASD Fieldspec ® 3 Gypsum Cleaning methods Materials Science (miscellaneous) Socio-culturale Conservation engineering.material PE10_10 ASD Fieldspec® 3 Cleaning procedure Hyperspectral technique Marble Santa Maria del Fiore Cathedral chemistry.chemical_compound PE4_2 Spectroscopy Remote sensing Hyperspectral imaging Spectroradiometer chemistry Chemistry (miscellaneous) engineering Carbonate Environmental science General Economics Econometrics and Finance |
Zdroj: | Journal of cultural heritage 49 (2021): 79–84. doi:10.1016/j.culher.2021.02.012 info:cnr-pdr/source/autori:Vettori S.; Verrucchi M.; Di Benedetto F.; Gioventu E.; Benvenuti M.; Pecchioni E.; Costagliola P.; Cagnini A.; Porcinai S.; Rimondi V.; Moretti S./titolo:Hyperspectral sensor: A handy tool to evaluate the efficacy of cleaning procedures/doi:10.1016%2Fj.culher.2021.02.012/rivista:Journal of cultural heritage/anno:2021/pagina_da:79/pagina_a:84/intervallo_pagine:79–84/volume:49 |
DOI: | 10.1016/j.culher.2021.02.012 |
Popis: | In urban environments, degradation processes affecting both natural and artificial carbonate materials commonly result in the formation of sulphate-based deposits (i.e., black crusts). Hyperspectral techniques may provide ready-to-use information on the degree of sulphation of carbonate stone, hence helping to monitor the conservation state of carbonate stone monuments. In this study, the Short-Wave InfraRed (SWIR) hyperspectral technique was tested on the world-famous marble-made Loggia di Baccio d’Agnolo in Santa Maria del Fiore Cathedral of Florence (Italy), affected by extensive “black crust” formation. A SWIR method based on a portable spectroradiometer (ASD Fieldspec® 3) was applied to verify the efficacy of different cleaning methods (i.e., laser, chemical and microbial). The interpretation of the SWIR spectra was based on a full-profile approach, in which the calcite and gypsum contributions were evaluated by weighing the best fit simulated contributions of reference compounds. The technique was able to provide in real time semi-quantitative determinations of the amount of gypsum developed on the stone surface, demonstrating to be a fast and handy routine tool during restoration of artworks. |
Databáze: | OpenAIRE |
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