Document généré le 15/03/2026 depuis l'adresse: https://www.documentation.eauetbiodiversite.fr/fr/notice/using-single-beam-side-lobe-observations-of-fish-echoes-for-fish-target-strength-and-abundance-estimation-in-shallow-water
Using single-beam side-lobe observations of fish echoes for fish target strength and abundance estimation in shallow water
Titre alternatif
Producteur
Contributeur(s)
Éditeur(s)
EDP Sciences
Identifiant documentaire
10-dkey/10.1016/S0990-7440(00)01087-1
Identifiant OAI
oai:edpsciences.org:dkey/10.1016/S0990-7440(00)01087-1
Auteur(s):
Marek Moszynski,John B. Hedgepeth
Mots clés
fisheries acoustics
indirect estimation
target strength
fish echoes
abundance estimation
maximization and smoothing
Date de publication
15/09/2000
Date de création
Date de modification
Date d'acceptation du document
Date de dépôt légal
Langue
en
Thème
Type de ressource
Source
https://doi.org/10.1016/S0990-7440(00)01087-1
Droits de réutilisation
Région
Département
Commune
Description
Acoustic surveys for determining fish abundance in shallow water present many challenges. One constraint to down-looking (or vertical) surveys is that the sampling volume is limited due to the short range and typically narrow beams of acoustic transducers. By utilizing more of the acoustic beam, into the side-lobes for example, the sampling volume may be increased. Although the echo energy contribution from the side-lobes is usually small, these echoes may influence target strength estimation and echo counting, and by extension affect abundance estimation either directly or indirectly. With the advent of wide dynamic range echosounders, it is possible to assess both small and large acoustic-size targets. In this case, it is possible to collect signals from large targets in the beam side-lobes, and therefore an algorithm to use side-lobe data is proposed. The smoothed Expectation Maximization method (EMS) is used to estimate densities and target strength of fish from only main-lobe and main-lobe with side-lobe observations in simulation, and suggestions are made for real data from surveys.
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