Comparison of Sea Wave Measurement Systems Based on Marine Radar and Microseismic Technologies
Language
English
Obiettivo Specifico
4A. Oceanografia e clima
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Issue/vol(year)
/19 (2022)
Electronic ISSN
1558-0571
Publisher
IEEE
Pages (printed)
3501305
Date Issued
January 25, 2022
Subjects
05.04. Instrumentation and techniques of general interest
Abstract
Sea state affects the coasts of all maritime regions, and it impacts anthropic infrastructures and influences the activities carried out in the sea as well as in its proximity. Sea-state monitoring is therefore important for a number of reasons, including the need to validate weather forecast models and study the impact of sea waves on anthropic infrastructures such as ports. In this letter, we combined the measurements of sea state collected with Ocean Seismic Integrated System (OS-IS), a seismic-based system developed by AGI (Assist in Gravitation and Instrumentation) srl and INGV (National Institute for Geophysics and Volcanology), with those obtained using a Wave Radar system. The aim was to prove that this combination could enhance the efficacy and reliability of sea monitoring, thanks to the complementarity of the two types of measurements in terms of area covered and spatial resolution. More specifically, the sea-state parameters provided by OS-IS were compared with those provided by a Wave Radar system. OS-IS data were collected from three microseismic stations installed near the Gulf of La Spezia, on the Ligurian Coast, whereas the Wave Radar system was installed at the center of the Cinque Terre National Park at about 12 km from the OS-IS system. The comparison between the measurements of significant wave height ( Hs ) and peak period ( Tp ) showed a good agreement, with a correlation index close to 0.9. The residual difference highlights the complementarity of the two systems and the potential of an integrated system that includes both. In particular, OS-IS provides measurements over large, offshore areas, whereas the Wave Radar System provides high spatial-resolution measurements over areas near the coast.
Sponsors
Institute of Bioeconomy (IBE), National Research Council (CNR), 50127 Florence, Italy
Assist in Gravitation and Instrumentation srl, 00078 Monte Porzio Catone (RM), Italy
Istituto Nazionale di Geofisica e Vulcanologia (INGV), 00143 Rome, Italy
Assist in Gravitation and Instrumentation srl, 00078 Monte Porzio Catone (RM), Italy
Istituto Nazionale di Geofisica e Vulcanologia (INGV), 00143 Rome, Italy
References
F. Serafino, C. Lugni and F. Soldovieri, "A Novel Strategy for the Surface Current Determination From Marine X-Band Radar Data," in IEEE Geoscience and Remote Sensing Letters, vol. 7, no. 2, pp. 231-235, April 2010.
doi: 10.1109/LGRS.2009.2031878
keywords: {Radar imaging;Sea surface;Surface reconstruction;Marine vehicles;Backscatter;Dispersion;Monitoring;Numerical analysis;Radar clutter;Surface waves;Image sequence analysis;marine radar;sea current;sea state},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5299032&isnumber=5446594
G. Ludeno et al., "Remocean System for the Detection of the Reflected Waves from the Costa Concordia Ship Wreck," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 7, pp. 3011-3018, July 2014.
doi: 10.1109/JSTARS.2014.2321048
keywords: {Sea measurements;Sea state;Marine vehicles;Sea surface;Radar imaging;Estimation;Marine X-band radar;sea state monitoring;Marine X-band radar;sea state monitoring},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6840991&isnumber=6881766
X. Liu, W. Huang and E. W. Gill, "Estimation of Significant Wave Height From X-Band Marine Radar Images Based on Ensemble Empirical Mode Decomposition," in IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 10, pp. 1740-1744, Oct. 2017.
doi: 10.1109/LGRS.2017.2733538
keywords: {Radar imaging;Estimation;Signal to noise ratio;Radar remote sensing;Sea measurements;Image sequences;Ensemble empirical mode decomposition (EEMD);significant wave height (SWH);X-band marine radar},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8008767&isnumber=8049538
G. Ludeno, S. Flampouris, C. Lugni, F. Soldovieri and F. Serafino, "A Novel Approach Based on Marine Radar Data Analysis for High-Resolution Bathymetry Map Generation," in IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 1, pp. 234-238, Jan. 2014.
doi: 10.1109/LGRS.2013.2254107
keywords: {Sea measurements;Radar imaging;Estimation;Dispersion;Image sequences;Monitoring;Bathymetry;sea state monitoring;shallow coastal areas;X-band radar system},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6524036&isnumber=6658878
F. Serafino et al., "REMOCEAN: A Flexible X-Band Radar System for Sea-State Monitoring and Surface Current Estimation," in IEEE Geoscience and Remote Sensing Letters, vol. 9, no. 5, pp. 822-826, Sept. 2012.
doi: 10.1109/LGRS.2011.2182031
keywords: {Sea surface;Sea measurements;Surface waves;Radar imaging;Estimation;High-frequency coastal radar;image sequence analysis;marine X-band radar;sea-state monitoring;sea surface current estimation},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151882&isnumber=6205680
Z. Chen, Y. He, B. Zhang and Y. Ma, "A Method to Correct the Influence of Rain on X-Band Marine Radar Image," in IEEE Access, vol. 5, pp. 25576-25583, 2017.
doi: 10.1109/ACCESS.2017.2772784
keywords: {Radar imaging;Rain;Continuous wavelet transforms;Image sequences;Sea measurements;Sea surface;X-band marine radar;complex continuous wavelet transform;empirical orthogonal function;ocean wave},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8105809&isnumber=7859429
X. Chen, W. Huang, C. Zhao and Y. Tian, "Rain Detection From X-Band Marine Radar Images: A Support Vector Machine-Based Approach," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 3, pp. 2115-2123, March 2020.
doi: 10.1109/TGRS.2019.2953143
keywords: {Radar imaging;Rain;Wind speed;Radar detection;Radar antennas;Sea measurements;Rain detection;support vector machines (SVMs);X-band marine radar},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8930952&isnumber=9014411
X. Chen and W. Huang, "Identification of Rain and Low-Backscatter Regions in X-Band Marine Radar Images: An Unsupervised Approach," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 6, pp. 4225-4236, June 2020.
doi: 10.1109/TGRS.2019.2961807
keywords: {Radar imaging;Rain;Feature extraction;Radar cross-sections;Wind speed;Sea measurements;Pixel clustering;rain;self-organizing map (SOM);X-band marine radar},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8957351&isnumber=9097824
C. Davy, G. Barruol, F. R. Fontaine and E. Cordier, "Analyses of extreme swell events on La Réunion Island from microseismic noise," in Geophysical Journal International, vol. 207, no. 3, pp. 1767-1782, July 2016.
doi: 10.1093/gji/ggw365
keywords: {Time-series analysis;Instrumental noise;Broad-band seismometers;Seismic monitoring;Statistical seismology;Indian Ocean},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8146638&isnumber=8146611
L. Iafolla et al., "OS-IS a new method for the sea waves monitoring," OCEANS 2015 - Genova, Genova, Italy, 2015, pp. 1-6.
doi: 10.1109/OCEANS-Genova.2015.7271432
keywords: {Monitoring;Sea measurements;Meteorology;Radar;Reliability;Accelerometers;Power supplies;Sea waves;monitoring;passive instrumentation;seismic noise;accelerometers;OS-IS®;Wind;Ports and Sea;La Spezia},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7271432&isnumber=7271237
doi: 10.1109/LGRS.2009.2031878
keywords: {Radar imaging;Sea surface;Surface reconstruction;Marine vehicles;Backscatter;Dispersion;Monitoring;Numerical analysis;Radar clutter;Surface waves;Image sequence analysis;marine radar;sea current;sea state},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5299032&isnumber=5446594
G. Ludeno et al., "Remocean System for the Detection of the Reflected Waves from the Costa Concordia Ship Wreck," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 7, pp. 3011-3018, July 2014.
doi: 10.1109/JSTARS.2014.2321048
keywords: {Sea measurements;Sea state;Marine vehicles;Sea surface;Radar imaging;Estimation;Marine X-band radar;sea state monitoring;Marine X-band radar;sea state monitoring},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6840991&isnumber=6881766
X. Liu, W. Huang and E. W. Gill, "Estimation of Significant Wave Height From X-Band Marine Radar Images Based on Ensemble Empirical Mode Decomposition," in IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 10, pp. 1740-1744, Oct. 2017.
doi: 10.1109/LGRS.2017.2733538
keywords: {Radar imaging;Estimation;Signal to noise ratio;Radar remote sensing;Sea measurements;Image sequences;Ensemble empirical mode decomposition (EEMD);significant wave height (SWH);X-band marine radar},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8008767&isnumber=8049538
G. Ludeno, S. Flampouris, C. Lugni, F. Soldovieri and F. Serafino, "A Novel Approach Based on Marine Radar Data Analysis for High-Resolution Bathymetry Map Generation," in IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 1, pp. 234-238, Jan. 2014.
doi: 10.1109/LGRS.2013.2254107
keywords: {Sea measurements;Radar imaging;Estimation;Dispersion;Image sequences;Monitoring;Bathymetry;sea state monitoring;shallow coastal areas;X-band radar system},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6524036&isnumber=6658878
F. Serafino et al., "REMOCEAN: A Flexible X-Band Radar System for Sea-State Monitoring and Surface Current Estimation," in IEEE Geoscience and Remote Sensing Letters, vol. 9, no. 5, pp. 822-826, Sept. 2012.
doi: 10.1109/LGRS.2011.2182031
keywords: {Sea surface;Sea measurements;Surface waves;Radar imaging;Estimation;High-frequency coastal radar;image sequence analysis;marine X-band radar;sea-state monitoring;sea surface current estimation},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151882&isnumber=6205680
Z. Chen, Y. He, B. Zhang and Y. Ma, "A Method to Correct the Influence of Rain on X-Band Marine Radar Image," in IEEE Access, vol. 5, pp. 25576-25583, 2017.
doi: 10.1109/ACCESS.2017.2772784
keywords: {Radar imaging;Rain;Continuous wavelet transforms;Image sequences;Sea measurements;Sea surface;X-band marine radar;complex continuous wavelet transform;empirical orthogonal function;ocean wave},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8105809&isnumber=7859429
X. Chen, W. Huang, C. Zhao and Y. Tian, "Rain Detection From X-Band Marine Radar Images: A Support Vector Machine-Based Approach," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 3, pp. 2115-2123, March 2020.
doi: 10.1109/TGRS.2019.2953143
keywords: {Radar imaging;Rain;Wind speed;Radar detection;Radar antennas;Sea measurements;Rain detection;support vector machines (SVMs);X-band marine radar},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8930952&isnumber=9014411
X. Chen and W. Huang, "Identification of Rain and Low-Backscatter Regions in X-Band Marine Radar Images: An Unsupervised Approach," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 6, pp. 4225-4236, June 2020.
doi: 10.1109/TGRS.2019.2961807
keywords: {Radar imaging;Rain;Feature extraction;Radar cross-sections;Wind speed;Sea measurements;Pixel clustering;rain;self-organizing map (SOM);X-band marine radar},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8957351&isnumber=9097824
C. Davy, G. Barruol, F. R. Fontaine and E. Cordier, "Analyses of extreme swell events on La Réunion Island from microseismic noise," in Geophysical Journal International, vol. 207, no. 3, pp. 1767-1782, July 2016.
doi: 10.1093/gji/ggw365
keywords: {Time-series analysis;Instrumental noise;Broad-band seismometers;Seismic monitoring;Statistical seismology;Indian Ocean},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8146638&isnumber=8146611
L. Iafolla et al., "OS-IS a new method for the sea waves monitoring," OCEANS 2015 - Genova, Genova, Italy, 2015, pp. 1-6.
doi: 10.1109/OCEANS-Genova.2015.7271432
keywords: {Monitoring;Sea measurements;Meteorology;Radar;Reliability;Accelerometers;Power supplies;Sea waves;monitoring;passive instrumentation;seismic noise;accelerometers;OS-IS®;Wind;Ports and Sea;La Spezia},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7271432&isnumber=7271237
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