Coral fragments health and growth in the Reefscapers propagation project in the Maldives

The Reefscapers program is a coral restoration initiative to help reef recovery in the Maldives. It started in 2001, and is most active since the 2015-2016 mass bleaching event. We produced health and growth data for 77,574 transplanted colonies using machine learning algorithms to analyze monitoring pictures. It enables us to assess the ability of coral restoration to help reef recovery after mass bleaching events, on a large scale.

The Reefscapers program is a coral restoration initiative to help reef recovery in the Maldives. It started in 2001, and is most active since the 2015-2016 mass bleaching event. We produced health and growth data for 77,574 transplanted colonies using machine learning algorithms to analyze monitoring pictures. It enables us to assess the ability of coral restoration to help reef recovery after mass bleaching events, on a large scale.

Disciplines

Environment

Keywords

coral restoration, maldives, machine learning, artificial intelligence, coral reef, scleratinia, acropora, pocillopora, reef recovery, restoration ecology, coral transplantation

Location

5.4N, 4.2S, 73.7E, 73W

Data

FileSizeFormatProcessingAccess
Database of all fragment data (SQL format)
14 MoMySQLProcessed data
Database of all fragment data (CSV format)
14 MoCSVQuality controlled data
How to cite
Gaétan Morand, Thomas Le Berre, Simon Dixon (2020). Coral fragments health and growth in the Reefscapers propagation project in the Maldives. SEANOE. https://doi.org/10.17882/77361
In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :
Morand Gaétan, Dixon Simon, Le Berre Thomas (2022). Identifying key factors for coral survival in reef restoration projects using deep learning. Aquatic Conservation: Marine and Freshwater Ecosystems. https://doi.org/10.1002/aqc.3878

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