Broadscale reconnaissance of coral reefs from citizen science and deep learning
Lawson, Christopher L., Chartrand, Katie M., Roelfsema, Chris M., Kolluru, Aruna, and Mumby, Peter J. (2025) Broadscale reconnaissance of coral reefs from citizen science and deep learning. Environmental Monitoring and Assessment, 197. 814.
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Abstract
Coral reef managers require various forms of data. While monitoring is typically the preserve of scientists, there is an increasing need to collect larger scale, up-to-date data to prioritise limited conservation resources. Citizen science combined with novel technology may achieve data collection at the required scale, but the accuracy and feasibility of new tools must be assessed. Here, we show that a citizen science program that collects large field of-view benthic images and analyses them using a combination of deep learning and online citizen scientists can produce accurate benthic cover estimates of key coral groups. The deep learning and citizen scientist analysis methods had different but complementary strengths depending on coral category.
| Item ID: | 91208 |
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| Item Type: | Article (Research - C1) |
| ISSN: | 1573-2959 |
| Copyright Information: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Date Deposited: | 14 Apr 2026 22:48 |
| FoR Codes: | 41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410404 Environmental management @ 50% 44 HUMAN SOCIETY > 4410 Sociology > 441002 Environmental sociology @ 50% |
| SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280111 Expanding knowledge in the environmental sciences @ 100% |
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