Evaluating UVA aerosol optical depth using a Smartphone camera
Article
Article Title | Evaluating UVA aerosol optical depth using a Smartphone camera |
---|---|
ERA Journal ID | 15283 |
Article Category | Article |
Authors | Igoe, Damien P. (Author), Parisi, Alfio V. (Author) and Carter, Brad (Author) |
Journal Title | Photochemistry and Photobiology |
Journal Citation | 89 (5), pp. 1244-1248 |
Number of Pages | 5 |
Year | 2013 |
Publisher | John Wiley & Sons |
Place of Publication | Hoboken, NJ. United States |
ISSN | 0031-8655 |
1751-1097 | |
Digital Object Identifier (DOI) | https://doi.org/10.1111/php.12082 |
Web Address (URL) | http://onlinelibrary.wiley.com/doi/10.1111/php.12082/pdf |
Abstract | This research evaluates a smartphone complementary metal oxide semiconductor (CMOS) image sensor's ability to detect and quantify incident solar UVA radiation and subsequently, aerosol optical depth at 340 and 380 nm. Earlier studies revealed that the consumer grade CMOS sensor has inherent UVA sensitivities, despite attenuating effects of the lens. Narrow bandpass and neutral density filters were used to protect the image sensor and to not allow saturation of the solar images produced. Observations were made on clear days, free from clouds. The results of this research demonstrate that there is a definable response to changing solar irradiance and aerosol optical depth can be measured within 5% and 10% error margins at 380 and 340 nm respectively. The greater relative error occurs at lower wavelengths (340 nm) due to increased atmospheric scattering effects, particularly at higher air masses and due to lower signal to noise ratio in the image sensor. The relative error for solar irradiance was under 1% for observations made at 380 nm. The results indicate that the smartphone image sensor, with additional external narrow bandpass and neutral density filters can be used as a field sensor to evaluate solar UVA irradiance and aerosol optical depth. |
Keywords | sensors; smart phones; UVA; camera lens |
ANZSRC Field of Research 2020 | 400999. Electronics, sensors and digital hardware not elsewhere classified |
370103. Atmospheric aerosols | |
370106. Atmospheric radiation | |
Public Notes | © 2013 The American Society of Photobiology. Published online 20 May 2013. Published version deposited in accordance with the copyright policy of the publisher. |
Byline Affiliations | Faculty of Sciences |
Department of Biological and Physical Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2039/evaluating-uva-aerosol-optical-depth-using-a-smartphone-camera
1837
total views6
total downloads4
views this month0
downloads this month