Osterloff, Jonas; Nilssen, Ingunn; Jarnegren, Johanna; Van Engeland, Tom; Buhl-Mortensen, Pal; Nattkemper, Tim Wilhelm: Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory.. In: Scientific reports. Jg.9 H. 1. 2019
Inhalt
- Material and Field Applications
- Figure 2 An image recorded at the LoVe observatory the 4th of April 2015 05:59.
- Table 1 The temporal resolution of the different sensors ft used in the multivariate data analysis.
- Methods
- Figure 3 One image (see (A)) per hour is uploaded from the LoVe observatory (see schematic graph (B), image drawn by author TWN) to the web portal.
- Figure 4 Measurements of selected sensors are plotted together with estimated polyp activity γt and coral colour ξt (a-coordinate of the coral colour ).
- Results
- Figure 5 The daily averages for temperature () are plotted against daily averages for the polyp activity ().
- Figure 6 The wavelet power spectrum (see left panels in the subplots) of the polyp activity () (see a)) northward bottom current velocity () (see b)) and the corresponding scale-averaged global power spectra (right panels in the subplots).
- Discussion
- Figure 7 Left panel: Squared wavelet coherence (colour) and phase (arrows) between polyp activity and the northward component of the bottom current velocity .
- Acknowledgements