Real-time reporting of marine ecosystem metrics from active acoustic sensors
Marine autonomous vehicles (MAVs) carrying active acoustic sensors(echosounders) are being used for ecosystem research, but high data volumes are presenting challenges for data storage, processing and communication. One of the appeals of autonomous vehicles is directing them to regions of interest a...
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ftnerc:oai:nora.nerc.ac.uk:530054 2023-05-15T18:25:23+02:00 Real-time reporting of marine ecosystem metrics from active acoustic sensors Blackwell, Robert Edward 2020-12 text http://nora.nerc.ac.uk/id/eprint/530054/ https://nora.nerc.ac.uk/id/eprint/530054/1/2020BlackwellREPhD-20201215.pdf en eng https://nora.nerc.ac.uk/id/eprint/530054/1/2020BlackwellREPhD-20201215.pdf Blackwell, Robert Edward orcid:0000-0002-0554-8062 . 2020 Real-time reporting of marine ecosystem metrics from active acoustic sensors. University of East Anglia, School of Environmental Science, PhD Thesis, 197pp. Publication - Thesis NonPeerReviewed 2020 ftnerc 2023-02-04T19:51:57Z Marine autonomous vehicles (MAVs) carrying active acoustic sensors(echosounders) are being used for ecosystem research, but high data volumes are presenting challenges for data storage, processing and communication. One of the appeals of autonomous vehicles is directing them to regions of interest and receiving data in real-time, but current satellite networks have insufficient bandwidth for real-time acoustic data transmission. We seek solutions using data compression or summarisation. We first explore the use of generic, lossless data compression algorithmsr(e.g. ZIP) and find that they do not deliver the necessary reduction in data size. We then convert acoustic data to echograms and examine the role of colour palettes in echogram interpretation, but image compression is still unsatisfactory. Using echosounder data from the Southern Ocean ecosystem at South Georgia, collected by research vessels (which are easier to work with and more readily available than MAV acoustic data), we compute acoustic summary metrics and assess their correlation to independent ecosystem indices. There is a strong correlation between abundance and traditional krill density estimates. Text Southern Ocean Natural Environment Research Council: NERC Open Research Archive Southern Ocean |
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Marine autonomous vehicles (MAVs) carrying active acoustic sensors(echosounders) are being used for ecosystem research, but high data volumes are presenting challenges for data storage, processing and communication. One of the appeals of autonomous vehicles is directing them to regions of interest and receiving data in real-time, but current satellite networks have insufficient bandwidth for real-time acoustic data transmission. We seek solutions using data compression or summarisation. We first explore the use of generic, lossless data compression algorithmsr(e.g. ZIP) and find that they do not deliver the necessary reduction in data size. We then convert acoustic data to echograms and examine the role of colour palettes in echogram interpretation, but image compression is still unsatisfactory. Using echosounder data from the Southern Ocean ecosystem at South Georgia, collected by research vessels (which are easier to work with and more readily available than MAV acoustic data), we compute acoustic summary metrics and assess their correlation to independent ecosystem indices. There is a strong correlation between abundance and traditional krill density estimates. |
format |
Text |
author |
Blackwell, Robert Edward |
spellingShingle |
Blackwell, Robert Edward Real-time reporting of marine ecosystem metrics from active acoustic sensors |
author_facet |
Blackwell, Robert Edward |
author_sort |
Blackwell, Robert Edward |
title |
Real-time reporting of marine ecosystem metrics from active acoustic sensors |
title_short |
Real-time reporting of marine ecosystem metrics from active acoustic sensors |
title_full |
Real-time reporting of marine ecosystem metrics from active acoustic sensors |
title_fullStr |
Real-time reporting of marine ecosystem metrics from active acoustic sensors |
title_full_unstemmed |
Real-time reporting of marine ecosystem metrics from active acoustic sensors |
title_sort |
real-time reporting of marine ecosystem metrics from active acoustic sensors |
publishDate |
2020 |
url |
http://nora.nerc.ac.uk/id/eprint/530054/ https://nora.nerc.ac.uk/id/eprint/530054/1/2020BlackwellREPhD-20201215.pdf |
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Southern Ocean |
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Southern Ocean |
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Southern Ocean |
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Southern Ocean |
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https://nora.nerc.ac.uk/id/eprint/530054/1/2020BlackwellREPhD-20201215.pdf Blackwell, Robert Edward orcid:0000-0002-0554-8062 . 2020 Real-time reporting of marine ecosystem metrics from active acoustic sensors. University of East Anglia, School of Environmental Science, PhD Thesis, 197pp. |
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