CloudCatcher: citizen science can be used to help to crowd source a satellite cloud validation dataset
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Wiley Open Access
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| Natura: | Artículo Open Access |
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Wiley
2024
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| _version_ | 1867018097116839936 |
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| author | Caroline Cox Edward Polehampton Vicky Hall |
| author_facet | Caroline Cox Edward Polehampton Vicky Hall Caroline Cox Edward Polehampton Vicky Hall |
| collection | Wiley Open Access |
| contents | CloudCatcher: citizen science can be used to help to crowd source a satellite cloud validation dataset Caroline Cox Edward Polehampton Vicky Hall Weather AbstractAccurately identifying clouds in satellite images is an important stage in processing such images for scientific use. Cloudy image pixels are labelled using a pixel mask, to allow them to be filtered out and ignored. The accuracy at which ‘cloud masking’ can be performed needs to be determined and this is often done by expert manual classification. Given the public enthusiasm for weather, we tested whether this classification could be performed reliably by ‘citizen scientists’. We found that the public could identify cloud with a 94% accuracy over ocean. Our analysis pointed to future improvements of the CloudCatcher project. 10.1002/wea.7635 http://creativecommons.org/licenses/by/4.0/ |
| doi_str_mv | 10.1002/wea.7635 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_wea_7635 |
| institution | Wiley Open Access |
| license_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| publishDate | 2024 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | CloudCatcher: citizen science can be used to help to crowd source a satellite cloud validation dataset Caroline Cox Edward Polehampton Vicky Hall Weather CloudCatcher: citizen science can be used to help to crowd source a satellite cloud validation dataset Caroline Cox Edward Polehampton Vicky Hall Weather AbstractAccurately identifying clouds in satellite images is an important stage in processing such images for scientific use. Cloudy image pixels are labelled using a pixel mask, to allow them to be filtered out and ignored. The accuracy at which ‘cloud masking’ can be performed needs to be determined and this is often done by expert manual classification. Given the public enthusiasm for weather, we tested whether this classification could be performed reliably by ‘citizen scientists’. We found that the public could identify cloud with a 94% accuracy over ocean. Our analysis pointed to future improvements of the CloudCatcher project. 10.1002/wea.7635 http://creativecommons.org/licenses/by/4.0/ |
| title | CloudCatcher: citizen science can be used to help to crowd source a satellite cloud validation dataset |
| topic | Weather |
| url | https://rmets.onlinelibrary.wiley.com/doi/10.1002/wea.7635 |