Biodiversité

In the French West Indies, more than 20 species of cetaceans have been observed over the last decades. The recognition of this hot spot of biodiversity of marine mammals observed in the French Exclusive Economic Zone of the West Indies motivated the French government to create in 2010 a marine protected area (MPA) dedicated to the conservation of marine mammals: the Agoa sanctuary. Threats that cetacean populations face are multiple but well-documented. Cetacean conservation can only be achieved if relevant and reliable data are available, starting by occurrence data. 

Time-lapse cameras facilitate remote and high-resolution monitoring of wild animal and plant communities, but the image data produced require further processing to be useful. Here we publish pipelines to process raw time-lapse imagery, resulting in count data (number of penguins per image) and ‘nearest neighbour distance’ measurements. The latter provide useful summaries of colony spatial structure (which can indicate phenological stage) and can be used to detect movement – metrics which could be valuable for a number of different monitoring scenarios, including image capture during aerial surveys. We present two alternative pathways for producing counts: (1) via the Zooniverse citizen science project Penguin Watch and (2) via a computer vision algorithm (Pengbot), and share a comparison of citizen science-, machine learning-, and expert- derived counts.