hat
Pant fizik nan gwosè patikil yo Koehle ak konpozisyon byolojik nan kominote a, ak yon kò nan rechèch émergentes se envestige kapasite nan done acoustic retrodifuzyon nan yo idantifye rgroupman byolojik maren. Gen konsiderab variation te montre nan fòs nan korlasyon obsève ant acoustic klasifikasyon siyal ki baze sou ak tè done videyo verite a. Sepandan, nivo segondè nan korelasyon yo obsève pou abita espesifik bentos tankou Sabellaria Reef, Meadows maren ak kabann moul (egzanp van rein et al., 2011). Kesyon rete kòm nan degre ki nan detay ak ki done acoustic retrodifuzyon ka aplike nan kat ekolojik ak nan ki pwen enklizyon li yo nan teknik klasifikasyon milti-metòd se itil.
eng
Physical gradients in particle size are correlated with biological community composition, and an emerging body of research is investigating the ability of acoustic backscatter data to identify marine biological assemblages. Considerable variability has been shown in the strength of correlations observed between acoustic signal-based classification and ground truth video data. However, high levels of correlation are observed for specific benthic habitats such as Sabellaria reef, seagrass meadows and mussel beds (e.g. van Rein et al., 2011). Questions remain as to the degree of detail with which acoustic backscatter data can be applied to ecological mapping and the extent to which its inclusion in multi-method classification techniques is useful.