Dawes, Adrian J. and Igoe, Damien P. and Rummenie, Katherine.J. and Parisi, Alfio V. (2020) Glass transmitted solar irradiances on horizontal and sun-normal planes evaluated with a smartphone camera. Measurement, 153 (Article 107410). pp. 1-7. ISSN 0263-2241
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Abstract
This paper characterised and evaluated the ability of a smartphone camera to measure ultraviolet radiation (UVR) through various types and thicknesses of glass. Image sensor responses from a smartphone with UVA transmitting filters were measurably stronger in the red colour channel than the blue, with the green colour channel responding weakly. Strong correlations of up to R2= 0.96 have been determined from calibration of the red and blue channel image responses against measured UVA irradiances for data obtained from both the horizontal plane and the sun-normal plane. For the validation data of the red channel and the blue channel respectively, the mean absolute error was 13.7% and 17.4% for the horizontal plane and 3.8% to 5.6% for the sun-normal plane. This research has concluded that it is possible to determine UVA irradiances through glass, of different thicknesses, using a smartphone camera with high degree of accuracy.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -) |
| Faculty/School / Institute/Centre: | Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -) |
| Date Deposited: | 30 Jan 2020 04:46 |
| Last Modified: | 07 May 2020 04:40 |
| Uncontrolled Keywords: | UVA; glass; skin cancer; solar; irradiance |
| Fields of Research (2008): | 02 Physical Sciences > 0299 Other Physical Sciences > 029999 Physical Sciences not elsewhere classified |
| Socio-Economic Objectives (2008): | E Expanding Knowledge > 97 Expanding Knowledge > 970102 Expanding Knowledge in the Physical Sciences |
| Identification Number or DOI: | https://doi.org/10.1016/j.measurement.2019.107410 |
| URI: | http://eprints.usq.edu.au/id/eprint/37618 |
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