Characterization of cloud cover with a smartphone camera
Article
Article Title | Characterization of cloud cover with a smartphone camera |
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ERA Journal ID | 1631 |
Article Category | Article |
Authors | Parisi, A. V. (Author), Downs, N. (Author), Igoe, D. (Author) and Turner, J. (Author) |
Journal Title | Instrumentation Science and Technology |
Journal Citation | 44 (1), pp. 23-34 |
Number of Pages | 12 |
Year | 2016 |
Publisher | Taylor & Francis |
Place of Publication | United States |
ISSN | 0733-4680 |
1073-9149 | |
1525-6030 | |
Digital Object Identifier (DOI) | https://doi.org/10.1080/10739149.2015.1055577 |
Web Address (URL) | http://www.tandfonline.com/doi/abs/10.1080/10739149.2015.1055577?tab=permissions |
Abstract | A smartphone sky camera and associated image analysis algorithm has been developed and validated for the determination of the percentage of cloud cover. This provides the total cloud cover and the percentage of thick and thin cloud in the image. The system has been validated and tested using supervised image classification for a range of cloud types and cloud cover ranging from 4% to 98% and solar zenith angles between 6o and 49o. Additionally, this system provides the percentage of total cloud and thick and thin cloud in proximity to the solar disc. The size of the errors is comparable to those associated with the cloud fractions determined with commercial sky camera systems. The benefits of increasing the availability of cloud fraction measurements through the system described include the potential to develop improved local ultraviolet index and weather forecasts and contribute toward better understanding of local trends in cloud patterns that is required to be considered in the generation of solar energy. |
Keywords | cloud; smartphone; sky; image; sky camera; cloud fraction |
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 |
School of Agricultural, Computational and Environmental Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3333/characterization-of-cloud-cover-with-a-smartphone-camera
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