SG-ASAM-15

Subgrupo sobre Prospecciones Acústicas y Métodos de Análisis

Lugar:

Busan, República de Corea

Fecha y hora del inicio de la reunión:

lunes, 9 Marzo 2015

Fecha y hora del fin de la reunión:

viernes, 13 Marzo 2015

Plazo de presentación

martes, 24 febrero, 2015 - 00:00 Australia/Hobart (Documento de grupo de trabajo)

Informe de la reunión:

s-sc-xxxiv-a4.pdf (731.7 KB)

Documentos de reunión(solapa activa)
Agenda

Documentos de reunión

Documentos

Número de documento	Nombre	Punto(s) de la agenda
SG-ASAM-15/01 Mostrar menos información	Automated data processing using Echoview M.J. Cox (Australia), G. Skaret (Norway), L.-M.K. Harrison and R. Harcourt (Australia) Resumen: 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 Read More Presentado por: Mr Doug Cooper (Secretaría de la CCRVMA) Solicitar acceso a documento de reunión	3.2
SG-ASAM-15/02 Mostrar menos información	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) Resumen: 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 Presentado por: Mr Doug Cooper (Secretaría de la CCRVMA) Solicitar acceso a documento de reunión	3.2.1
SG-ASAM-15/03 Mostrar menos información	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) Resumen: 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 Presentado por: Mr Doug Cooper (Secretaría de la CCRVMA) Solicitar acceso a documento de reunión	4

Agenda

Agenda preliminar

Expandir Comentarios(/Resúmenes) | Expandir Documentos | Contraer

1 Introduction

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1.1 Opening of the meeting

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1.2 Adoption of the agenda

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1.3 Modification/adoption of meeting agenda

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2 Review proof of concept: stage 2

Comentarios(/Resúmenes)

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.

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

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3.1 Data collection

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3.1.1 Validation of instrument performance

Comentarios(/Resúmenes)

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.

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3.1.2 Instructions on instrument setup

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

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3.2 Data screening and analysis

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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)

Documentos

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)

Documentos

3.2.3 Uncertainty evaluation methods, including data quality/data loss

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4 Analysis of data collected during fishing operations

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SG-ASAM-15/03

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)

4.1 Spatial and statistical treatment

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4.2 Potential input into WG-EMM on the use of fishing vessel-based acoustic data in the 2015/16 multinational effort as well as in FBM in general

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5 Other issues and future work

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6 Recommendations to the Scientific Committee

Comentarios(/Resúmenes)

Including recommendations to WG-EMM for work related to FBM.

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7 Adoption of report

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8 Close of meeting

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Reuniones

SG-ASAM-15

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Agenda preliminar