SG-ASAM-15

Subgroup on Acoustic Survey and Analysis Methods

Location:

Busan, Republic of Korea

Meeting Start Date/Time:

Monday, 9 March 2015

Meeting End Date/Time:

Friday, 13 March 2015

Submissions Due

Tuesday, 24 February 2015 - 00:00 Australia/Hobart (Working Group Paper)

Meeting Report:

e-sc-xxxiv-a4.pdf (794.6 KB)

Meeting Documents

Documents

Document Number	Title	Agenda Item(s)
SG-ASAM-15/01 More Info	Automated data processing using Echoview M.J. Cox (Australia), G. Skaret (Norway), L.-M.K. Harrison and R. Harcourt (Australia) Abstract: 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 Submitted By: Mr Doug Cooper (CCAMLR Secretariat) Request Meeting Document	3.2
SG-ASAM-15/02 More Info	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) Abstract: 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 Submitted By: Mr Doug Cooper (CCAMLR Secretariat) Request Meeting Document	3.2.1
SG-ASAM-15/03 More Info	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) Abstract: 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 Submitted By: Mr Doug Cooper (CCAMLR Secretariat) Request Meeting Document	4

Agenda

Preliminary Agenda

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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

Annotations

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

Annotations

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