CCAMLR

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 Echoview, EK60 data and the Echoview^R package available in the statistical language R.  Whilst the scripting of Echoview through EchoviewR has been successful, there are several challenges remaining before the acoustic processing can be truly automated, such as robust seabed and false bottom detection.