Characterisation of a smartphone image sensor response to direct solar 305 nm irradiation at high air masses
Article
Article Title | Characterisation of a smartphone image sensor response to direct solar 305 nm irradiation at high air masses |
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ERA Journal ID | 3551 |
Article Category | Article |
Authors | Igoe, D. P. (Author), Amar, A. (Author), Parisi, A. V. (Author) and Turner, J. (Author) |
Journal Title | Science of the Total Environment |
Journal Citation | 587-588, pp. 407-413 |
Number of Pages | 7 |
Year | 2017 |
Publisher | Elsevier |
Place of Publication | Netherlands |
ISSN | 0048-9697 |
1879-1026 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.scitotenv.2017.02.175 |
Web Address (URL) | http://www.sciencedirect.com/science/article/pii/S0048969717304242 |
Abstract | This research reports the first time the sensitivity, properties and response of a smartphone image sensor that has been used to characterize the photobiologically important direct UVB solar irradiances at 305 nm in clear sky conditions at high air masses. Solar images taken from Autumn to Spring were analysed using a custom Python script, written to develop and apply an adaptive threshold to mitigate the effects of both noise and hot-pixel aberrations in the images. The quadratic calibration model developed has a strong correlation between the red colour channel from the smartphone with the Microtops measurements of the direct sun 305 nm UV, with a coefficient of determination of 0.998 and very low standard errors. Validation of the model verified the robustness of the method and the model, with an average discrepancy of only 5% between smartphone derived and Microtops observed direct solar irradiances at 305 nm. The results demonstrate the effectiveness of using the smartphone image sensor as a means to measure photobiologically important solar UVB radiation. The use of ubiquitous portable technologies, such as smartphones and laptop computers to perform data collection and analysis of solar UVB observations is an example of how scientific investigations can be performed by citizen science based individuals and groups, communities and schools. |
Keywords | ultraviolet radiation, atmospheric radiation, solar ultraviolet, photobiology, smartphone, CMOS image sensor |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 519999. Other physical sciences not elsewhere classified |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Faculty of Health, Engineering and Sciences |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3y5y/characterisation-of-a-smartphone-image-sensor-response-to-direct-solar-305-nm-irradiation-at-high-air-masses
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