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Population size estimation of chirp and grunt generating fish and mammals using cross-correlation based technique with three acoustic sensors
- Source :
- Journal of Ocean Engineering and Science, Vol 4, Iss 2, Pp 183-191 (2019)
- Publication Year :
- 2019
- Publisher :
- Elsevier, 2019.
-
Abstract
- Passive acoustic monitoring has the potential to be a useful tool for population estimation of sound-producing fish and mammals (mostly whales). Previous work on population estimates of callers employed a simple cross-correlation technique with recordings from two acoustic sensors, and the current work extends the technique to two configurations of a 3-acoustic sensors array using two different sounds, i.e., chirps which is commonly generated by damselfish (Dascyllus aruanus), humpback whales (Megaptera novaeangliae), dugongs (Dugong dugon) etc., species, and grunts which is commonly generated by Japanese gurnard (Chelidonichthys kumu), Grey gurnard (Eutrigla gurnardus), gulf toadfish (O. beta), etc., species. We compared simulated results from this technique with values determined by theoretical approach. We have found that an increasing number of cross-correlation function (CCF) provide better results using this technique. However, the technique has some limitations including negligence of multipath interference, assuming the delays to be integer. Keywords: Passive acoustic monitoring, Cross-correlation function, Bin, Acoustic sensors
- Subjects :
- Multipath interference
Dascyllus
Environmental Engineering
biology
Cross-correlation
Acoustics
Population size
lcsh:Ocean engineering
Grey gurnard
Ocean Engineering
Oceanography
biology.organism_classification
01 natural sciences
010305 fluids & plasmas
0103 physical sciences
Chirp
lcsh:TC1501-1800
Environmental science
Fish
Damselfish
010301 acoustics
Subjects
Details
- Language :
- English
- ISSN :
- 24680133
- Volume :
- 4
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Journal of Ocean Engineering and Science
- Accession number :
- edsair.doi.dedup.....0f50d65d6c95bbfbe6447e56148dadc3