Effective Strategies for Automatic Analysis of Acoustic Signals in Long-Term Monitoring
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| Gepubliceerd in: | Journal of Marine Science and Engineering vol. 13, no. 3 (2025), p. 454-475 |
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| Hoofdauteur: | |
| Andere auteurs: | , , , , , , , |
| Gepubliceerd in: |
MDPI AG
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| Online toegang: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 024 | 7 | |a 10.3390/jmse13030454 |2 doi | |
| 035 | |a 3181549790 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231479 |2 nlm | ||
| 100 | 1 | |a Diego-Tortosa Dídac |u Laboratori Nazionali del Sud (LNS) - Istituto Nazionale di Fisica Nucleare (INFN), Via S. Sofia 62, 95125 Catania, Italy; danilo.bonanno@lns.infn.it (D.B.); letizia.dimauro@lns.infn.it (L.S.D.M.); abdelghani.idrissi@lns.infn.it (A.I.); giorgio.riccobene@lns.infn.it (G.R.); sanfilippo@lns.infn.it (S.S.); sviola@lns.infn.it (S.V.) | |
| 245 | 1 | |a Effective Strategies for Automatic Analysis of Acoustic Signals in Long-Term Monitoring | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Hydrophones used in Passive Acoustic Monitoring generate vast amounts of data, with the storage requirements for raw signals dependent on the sampling frequency, which limits the range of frequencies that can be recorded. Since the installation of these observatories is costly, it is crucial to maximize the utility of high-sampling-rate recordings to expand the range of survey types. However, storing these large datasets for long-term trend analysis presents significant challenges. This paper proposes an approach that reduces the data storage requirements by up to 85% while preserving critical information about Power Spectral Density and Sound Pressure Level. The strategy involves generating these key metrics from spectrograms, enabling both short-term (micro) and long-term (macro) studies. A proposal for efficient data processing is presented, structured in three steps: the first focuses on generating key metrics to replace space-consuming raw signals, the second addresses the treatment of these metrics for long-term studies, and the third outlines the creation of event detectors from the processed metrics. A comprehensive overview of the essential features for analyzing acoustic signals is provided, along with considerations for the future design of marine observatories. The necessary calculations and processes are detailed, demonstrating the potential of these methods to address the current data storage and processing limitations in long-term acoustic monitoring. | |
| 653 | |a Sound pressure | ||
| 653 | |a Data processing | ||
| 653 | |a Acoustic tracking | ||
| 653 | |a Trend analysis | ||
| 653 | |a Storage requirements | ||
| 653 | |a Data storage | ||
| 653 | |a Signal processing | ||
| 653 | |a Hydrophones | ||
| 653 | |a Data analysis | ||
| 653 | |a Noise pollution | ||
| 653 | |a Sampling | ||
| 653 | |a Monitoring | ||
| 653 | |a Strategic planning | ||
| 653 | |a Monitoring systems | ||
| 653 | |a Habitats | ||
| 653 | |a Detectors | ||
| 653 | |a Data integrity | ||
| 653 | |a Spectrograms | ||
| 653 | |a Observatories | ||
| 653 | |a Sensors | ||
| 653 | |a Data collection | ||
| 653 | |a Information storage | ||
| 653 | |a Algorithms | ||
| 653 | |a Power spectral density | ||
| 653 | |a Acoustics | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Bonanno Danilo |u Laboratori Nazionali del Sud (LNS) - Istituto Nazionale di Fisica Nucleare (INFN), Via S. Sofia 62, 95125 Catania, Italy; danilo.bonanno@lns.infn.it (D.B.); letizia.dimauro@lns.infn.it (L.S.D.M.); abdelghani.idrissi@lns.infn.it (A.I.); giorgio.riccobene@lns.infn.it (G.R.); sanfilippo@lns.infn.it (S.S.); sviola@lns.infn.it (S.V.) | |
| 700 | 1 | |a Bou-Cabo, Manuel |u Instituto Español de Oceanografía (IEO) - Consejo Superior de Investigaciones Científicas (CSIC), Mixed Unit UPV-IEO, Tinglados Muelle Frutero, Grau de Gandia, 46730 Valencia, Spain; manuel.bou@ieo.csic.es (M.B.-C.); guillermo.lara@ieo.csic.es (G.L.) | |
| 700 | 1 | |a Di Mauro Letizia S. |u Laboratori Nazionali del Sud (LNS) - Istituto Nazionale di Fisica Nucleare (INFN), Via S. Sofia 62, 95125 Catania, Italy; danilo.bonanno@lns.infn.it (D.B.); letizia.dimauro@lns.infn.it (L.S.D.M.); abdelghani.idrissi@lns.infn.it (A.I.); giorgio.riccobene@lns.infn.it (G.R.); sanfilippo@lns.infn.it (S.S.); sviola@lns.infn.it (S.V.) | |
| 700 | 1 | |a Idrissi Abdelghani |u Laboratori Nazionali del Sud (LNS) - Istituto Nazionale di Fisica Nucleare (INFN), Via S. Sofia 62, 95125 Catania, Italy; danilo.bonanno@lns.infn.it (D.B.); letizia.dimauro@lns.infn.it (L.S.D.M.); abdelghani.idrissi@lns.infn.it (A.I.); giorgio.riccobene@lns.infn.it (G.R.); sanfilippo@lns.infn.it (S.S.); sviola@lns.infn.it (S.V.) | |
| 700 | 1 | |a Lara, Guillermo |u Instituto Español de Oceanografía (IEO) - Consejo Superior de Investigaciones Científicas (CSIC), Mixed Unit UPV-IEO, Tinglados Muelle Frutero, Grau de Gandia, 46730 Valencia, Spain; manuel.bou@ieo.csic.es (M.B.-C.); guillermo.lara@ieo.csic.es (G.L.) | |
| 700 | 1 | |a Riccobene Giorgio |u Laboratori Nazionali del Sud (LNS) - Istituto Nazionale di Fisica Nucleare (INFN), Via S. Sofia 62, 95125 Catania, Italy; danilo.bonanno@lns.infn.it (D.B.); letizia.dimauro@lns.infn.it (L.S.D.M.); abdelghani.idrissi@lns.infn.it (A.I.); giorgio.riccobene@lns.infn.it (G.R.); sanfilippo@lns.infn.it (S.S.); sviola@lns.infn.it (S.V.) | |
| 700 | 1 | |a Sanfilippo, Simone |u Laboratori Nazionali del Sud (LNS) - Istituto Nazionale di Fisica Nucleare (INFN), Via S. Sofia 62, 95125 Catania, Italy; danilo.bonanno@lns.infn.it (D.B.); letizia.dimauro@lns.infn.it (L.S.D.M.); abdelghani.idrissi@lns.infn.it (A.I.); giorgio.riccobene@lns.infn.it (G.R.); sanfilippo@lns.infn.it (S.S.); sviola@lns.infn.it (S.V.) | |
| 700 | 1 | |a Viola Salvatore |u Laboratori Nazionali del Sud (LNS) - Istituto Nazionale di Fisica Nucleare (INFN), Via S. Sofia 62, 95125 Catania, Italy; danilo.bonanno@lns.infn.it (D.B.); letizia.dimauro@lns.infn.it (L.S.D.M.); abdelghani.idrissi@lns.infn.it (A.I.); giorgio.riccobene@lns.infn.it (G.R.); sanfilippo@lns.infn.it (S.S.); sviola@lns.infn.it (S.V.) | |
| 773 | 0 | |t Journal of Marine Science and Engineering |g vol. 13, no. 3 (2025), p. 454-475 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
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