Full Name
Subgroup on Acoustic Survey and Analysis Methods
Location:
Busan, Republic of Korea
Meeting Start Date/Time:
Meeting End Date/Time:
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) |
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) |
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) |
4 |
Agenda
Preliminary Agenda
Expand All Annotations | Expand All Documents | Collapse All
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
4 Analysis of data collected during fishing operations
Documents
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
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
5 Other issues and future work
6 Recommendations to the Scientific Committee
Annotations
Including recommendations to WG-EMM for work related to FBM.
7 Adoption of report
8 Close of meeting