Papers by Harald Heimvoll
Methods in Ecology and Evolution, 2024
1. The use of quantitative broadband echosounders for biological studies and surveys
can offer co... more 1. The use of quantitative broadband echosounders for biological studies and surveys
can offer considerable advantages over narrowband echosounders. These
include improved spectral-based target identification and significantly increased
ability to resolve individual targets. An understanding of current processing steps
is required to fully utilise and further develop broadband acoustic methods in
marine ecology.
2. We describe the steps involved in processing broadband acoustic data from raw
data to frequency dependent target strength (TS(f )) and volume backscattering
strength (Sv(f )) using data from the EK80 broadband scientific echosounder as
examples. Although the overall processing steps are described and build on established
methods from the literature, multiple choices need to be made during
implementation.
3. To highlight and discuss some of these choices and facilitate a common understanding
within the community, we have also developed a Python code which will
be made publicly available and open source. The code follows the steps using raw
data from two single pings, showing the step-by-step processing from raw data to
TS(f ) and Sv(f ).
4. This code can serve as a reference for developing custom code or implementation
in existing processing pipelines, as an educational tool and as a starting point for
further development of broadband acoustic methods in fisheries acoustics.
echosounder Lars Nonboe Andersen, a) Dezhang Chu, Harald Heimvoll, Rolf Korneliussen, Gavin J. Ma... more echosounder Lars Nonboe Andersen, a) Dezhang Chu, Harald Heimvoll, Rolf Korneliussen, Gavin J. Macaulay, and Egil Ona Kongsberg Maritime AS, Strandpromenaden 50, 3191, Horten, Norway Fishery Resource Analysis and Monitoring Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2725 Montlake Blvd. E. Seattle, WA, 98112, USA Ecosystem Acoustics, Institute of Marine Research, Bergen, 5001, Norway
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Papers by Harald Heimvoll
can offer considerable advantages over narrowband echosounders. These
include improved spectral-based target identification and significantly increased
ability to resolve individual targets. An understanding of current processing steps
is required to fully utilise and further develop broadband acoustic methods in
marine ecology.
2. We describe the steps involved in processing broadband acoustic data from raw
data to frequency dependent target strength (TS(f )) and volume backscattering
strength (Sv(f )) using data from the EK80 broadband scientific echosounder as
examples. Although the overall processing steps are described and build on established
methods from the literature, multiple choices need to be made during
implementation.
3. To highlight and discuss some of these choices and facilitate a common understanding
within the community, we have also developed a Python code which will
be made publicly available and open source. The code follows the steps using raw
data from two single pings, showing the step-by-step processing from raw data to
TS(f ) and Sv(f ).
4. This code can serve as a reference for developing custom code or implementation
in existing processing pipelines, as an educational tool and as a starting point for
further development of broadband acoustic methods in fisheries acoustics.
can offer considerable advantages over narrowband echosounders. These
include improved spectral-based target identification and significantly increased
ability to resolve individual targets. An understanding of current processing steps
is required to fully utilise and further develop broadband acoustic methods in
marine ecology.
2. We describe the steps involved in processing broadband acoustic data from raw
data to frequency dependent target strength (TS(f )) and volume backscattering
strength (Sv(f )) using data from the EK80 broadband scientific echosounder as
examples. Although the overall processing steps are described and build on established
methods from the literature, multiple choices need to be made during
implementation.
3. To highlight and discuss some of these choices and facilitate a common understanding
within the community, we have also developed a Python code which will
be made publicly available and open source. The code follows the steps using raw
data from two single pings, showing the step-by-step processing from raw data to
TS(f ) and Sv(f ).
4. This code can serve as a reference for developing custom code or implementation
in existing processing pipelines, as an educational tool and as a starting point for
further development of broadband acoustic methods in fisheries acoustics.