SG-ASAM-15

Sous-groupe sur les méthodes d'évaluation acoustique et d'analyse

Lieu:

Busan, République de Corée

Date/heure de début de réunion:

lundi, 9 mars 2015

Date/heure de fin de réunion:

vendredi, 13 mars 2015

Dates limites de soumission

mardi 24 février 2015 à 00:00 Australie/Hobart (Document de groupe de travail)

Rapport de la réunion:

f-sc-xxxiv-a4.pdf (742.03 Ko)

Documents de réunion

Documents

Numéro du document	Titre	Point(s) de l'ordre du jour
SG-ASAM-15/01 Plus d'infos	Automated data processing using Echoview M.J. Cox (Australia), G. Skaret (Norway), L.-M.K. Harrison and R. Harcourt (Australia) Résumé: Increasing volumes of acoustic data are being collected which necessitates a reappraisal of many of the current methods for data processing and analysis. For some acoustic data sets manual processing is no longer an option; the large size of the data set is preventing analysis. This document provides an overview of an automated procedure for processing acoustic data that is illustrated using Read More Soumis par: Doug Cooper (Secrétariat de la CCAMLR) Demander un document de réunion	3.2
SG-ASAM-15/02 Plus d'infos	A noise removal algorithm for acoustic data with strong interference based on post-processing techniques X. Wang, X. Zhao and J. Zhang (People’s Republic of China) Résumé: The use of fishing-vessel-based acoustic data has been recognized by SC-CAMLR as an important way to estimate the distribution and relative abundance of Antarctic krill (Euphausia superba), yet the quality and even the utility of the data may be seriously degraded by interferences due to the lack of synchronization device for the acoustic instruments equipped on some of the vessels. A Read More Soumis par: Doug Cooper (Secrétariat de la CCAMLR) Demander un document de réunion	3.2.1
SG-ASAM-15/03 Plus d'infos	Semi-empirical acoustic estimates of krill biomass derived from simulated commercial fishery data based on single-frequency acoustics A.M. Cossio, G.W. Watters, C.S. Reiss, J. Hinke and D. Kinzey (USA) Résumé: Single frequency (38 and 120 kHz) acoustic and associated net data were extracted from US AMLR datasets and used to mimic data that might be collected by the commercial fishery during the fishing seasons. From these data we develop semi-empirical indices of acoustic biomass in a Generalized Linear Modeling framework. We correlate these estimates of biomass with acoustic estimates derived from Read More Soumis par: Doug Cooper (Secrétariat de la CCAMLR) Demander un document de réunion	4

Ordre du jour

Ordre du jour préliminaire

Développer Commentaires | Développer Document | Réduire

1 Introduction

1.1 Opening of the meeting

1.2 Adoption of the agenda

1.3 Modification/adoption of meeting agenda

2 Review proof of concept: stage 2

Commentaires

Review of data collected during a range of vessel activities, speeds and weather conditions to assess more fully the quality and utility of acoustic data from commercial fishing vessels.

3 Protocols for data collection and analysis, with emphasis on Simrad echosounders (EK60, ES60/70)

3.1 Data collection

3.1.1 Validation of instrument performance

Commentaires

Internal testing and external reference target, with focus on the role of seabed as reference target for individual and inter-ship calibration, taking into account of inputs from fishing vessel masters.

3.1.2 Instructions on instrument setup

3.1.3 Work on protocols for data collection with other echosounder/sonars where applicable

3.2 Data screening and analysis

Documents

SG-ASAM-15/01

Automated data processing using Echoview
M.J. Cox (Australia), G. Skaret (Norway), L.-M.K. Harrison and R. Harcourt (Australia)

3.2.1 Noise removal algorithms (standardised procedures)

Documents

SG-ASAM-15/02

A noise removal algorithm for acoustic data with strong interference based on post-processing techniques
X. Wang, X. Zhao and J. Zhang (People’s Republic of China)

3.2.2 Data analysis (software-specific)

3.2.3 Uncertainty evaluation methods, including data quality/data loss