MARINE AND MARITIME SAR APPLICATIONS: COSMO-SKYMED FROM 1 ST TO 2 ND GENERATION
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1 MARINE AND MARITIME SAR APPLICATIONS: COSMO-SKYMED FROM 1 ST TO 2 ND GENERATION Maurizio Migliaccio, Ferdinando Nunziata, Andrea Buono Dipartimento di Ingegneria, Università degli Studi di Napoli Parthenope Auditorium ASI, Via del Politecnico snc, Tor Vergata (Roma) 14/11/2017
2 MARINE AND MARITIME APPLICATIONS MARITIME SURVEILLANCE
3 MARINE AND MARITIME APPLICATIONS MARINE OIL POLLUTION MONITORING
4 MARINE AND MARITIME APPLICATIONS OBSERVATION OF CRITICAL INFRASTRUCTURES
5 MARINE AND MARITIME APPLICATIONS ANALYSIS OF COASTLINE DYNAMIC
6 MARINE AND MARITIME APPLICATIONS WIND FIELD RETRIEVAL AND MONITORING EXTREME WEATHER EVENTS
7 COSMO-SKYMED 1 ST GENERATION: A LOOK OVER THE OCEANS
8 COSMO-SKYMED 1 ST GENERATION: SAR APPLICATIONS Sea oil slick observation Coastline extraction EM model validation Wind field retrieval & 30' Ascat ECMWF 38 extreme weather monitoring o N 10 o E 11 o E 12 o E 13 o E 14 o E latitude 30' 41 o N 30' 40 o N 30' 39 o N wind field Cosmo-SkyMed/Ascat Cosmo- SkyMed longitude 20/11/2010 5:00 h (~12.5 km) Man-made metallic target detection
9 COSMO-SKYMED 1 ST GENERATION: SAR APPLICATIONS Added-value products are generated that rely on EM models.
10 COSMO-SKYMED 1 ST GENERATION: SAR APPLICATIONS Single-reflection surface scattering (Bragg) VV-pol larger than HH-pol backscattering Reflection symmetry Rayleigh-distributed amplitude of backscattered signal Almost polarized backscattered energy Large HH-VV correlation Low polarimetric entropy Large degree of polarization EM models include statistical, scattering and polarimetric properties.
11 COSMO-SKYMED 1 ST GENERATION: Coastline extraction The correlation of co- and cross-pol channel amplitudes allow enhancing land/sea contrast. Dual-pol data allow developing more robust and effective algorithms. Single-look complex slant range (level 1A) VH-VV PingPong dual-pol mode A. Buono, F. Nunziata, M. Migliaccio, G.Benassai, Dual-Polarimetric C- and X-Band SAR Data for Coastline Extraction, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.9, no.11, pp , ASI-SOAR Project 5223: Multi-polarization SAR data for coastal zone monitoring.
12 COSMO-SKYMED 1 ST GENERATION: Man-made metallic targets detection Metallic targets and sea surface differ in coherence time and, therefore, by comparison with the time lag of the alternating transmitted bursts, the presence of man-made targets over the ocean is highlighted. Dual-pol data allow reducing both false alarms and missed targets rate. Single-look complex slant range (level 1A) HH-VV PingPong dual-pol mode F. Nunziata, M. Migliaccio, On the COSMO-SkyMed PingPong Mode to Observe Metallic Targets at Sea, IEEE Journal of Oceanic Engineering, vol.38, no.1, pp.71-79, ASI Project 1221: SAR Remote Sensing for Sea Oil Spill Observation.
13 COSMO-SKYMED 1 ST GENERATION: Sea oil slick monitoring The different oil/sea textural properties allow performing oil spill detection, while the exploitation of dense revisit time (11 h) allows an effective oil spill tracking. Single-look complex slant range (level 1A) Wide Region and Himage VVpol mode Y. Cheng, B. Liu, X. Li, F. Nunziata, Q. Xue, X. Ding, M. Migliaccio, W.G. Pichel, Monitoring of Oil Spill Trajectories with COSMO- SkyMed X-band SAR Images and Model Simulation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.7, pp , ASI Project 1221: SAR Remote Sensing for Sea Oil Spill Observation.
14 COSMO-SKYMED 1 ST GENERATION: Monitoring Extreme Weather Events The inherent peculiarities of X- band are exploited to retrieve useful information, i. e., attenuation bands and eyewall extension,, for the tracking of typhoons and other extreme weather conditions. Geocoded ellipsoid corrected (level 1C) ScanSAR VV-pol mode V. Corcione, F. Nunziata, M. Migliaccio, Megi Typhoon Monitoring by X-Band Synthetic Aperture Radar Measurements, IEEE Journal of Oceanic Engineering, Special Issue, pp.1-11, ASI Project 1221: SAR Remote Sensing for Sea Oil Spill Observation.
15 COSMO-SKYMED 1 ST GENERATION: EM Modeling Detected ground project multi-looked (level 1B) ScanSAR Huge Region VV-pol mode * ** Detected ground project multi-looked (level 1B) ScanSAR Wide Region VV-pol mode Actual SAR data are used to validate EM models developed for a better understanding of the underlying processes and for implementing physical-based processing chains. * G. Benassai, A. Montuori, M. Migliaccio, F. Nunziata, Sea wave modeling with X-band COSMO-SkyMed SAR-derived wind field forcing and applications in coastal vulnerability assessment, Ocean Science, vol.9, pp , ASI Project 1500: Improvement of Oceanic Modeling for Coastal Management by means of COSMO-SkyMed SAR data. ** A. Montuori, F. Nunziata, M. Migliaccio, P. Sobieski, X-Band Two-Scale Sea Surface Scattering Model to Predict the Contrast due to an Oil slick, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.9, no.11, pp , ASI Project 1221: SAR Remote Sensing for Sea Oil Spill Observation.
16 TOWARDS COSMO-SKYMED 2 ND GENERATION: A NEW LOOK OVER THE OCEANS
17 TOWARDS COSMO-SKYMED 2 ND GENERATION: A NEW LOOK OVER THE OCEANS New tasks/products to be accomplished/generated: Target classification Oil slick characterization Improved accuracy/robustness of added-value products: Finer and more robust coastline extraction accuracy High-performance and more robust target detection algorithms
18 TOWARDS COSMO-SKYMED 2 ND GENERATION: A NEW LOOK OVER THE OCEANS New tasks/products to be accomplished/generated: Target classification Quad-pol data are needed for scattering-based model decomposition Y. Xi, H. Lang, Y. Tao, L. Huang, Z. Pei, Four-Component Model-Based Decomposition for Ship Targets Using PolSAR Data, Remote Sensing, vol.9, no.621, pp.1-18, 2017.
19 TOWARDS COSMO-SKYMED 2 ND GENERATION: A NEW LOOK OVER THE OCEANS New tasks/products to be accomplished/generated: Single-look complex slant range (level 1B) coherent HH-VV Stripmap dual-pol mode Oil slick characterization Dual-pol coherent HH-VV (or quad-pol) data are needed for characterizing oil damping properties M. Migliaccio, F.Nunziata, A. Buono, A Review on SAR polarimetry for sea oil slick observation, International Journal of Remote Sensing, vol.36, no.11-12, pp , 2015.
20 TOWARDS COSMO-SKYMED 2 ND GENERATION: A NEW LOOK OVER THE OCEANS Improved accuracy/robustness of added-value products: Finer and more robust coastline extraction accuracy A. Buono, F. Nunziata, M. Migliaccio, G.Benassai, Dual-Polarimetric C- and X-Band SAR Data for Coastline Extraction, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.9, no.11, pp , ASI-SOAR Project 5223: Multi-polarization SAR data for coastal zone monitoring. Single-look complex slant range (level 1A) VH-VV PingPong dual-pol mode
21 TOWARDS COSMO-SKYMED 2 ND GENERATION: A NEW LOOK OVER THE OCEANS Improved accuracy/robustness of added-value products: High-performance and more robust target detection algorithms Single-look complex slant range (level 1B) coherent HH-HV/VH-VV Stripmap dual-pol mode D. Velotto, F. Nunziata, M. Migliaccio, S. Lenher, Dual-polarimetric TerraSAR-X SAR Data for Target at Sea Observation, IEEE Geoscience and Remote Sensing Letters, vol.10, no.5, pp , 2013.
22 CONCLUSIONS & RECOMMENDATIONS According to the presented showcases, the research activities undertaken using X- band COSMO-SkyMed 1 ST Generation SAR data pointed out that: The selection of data product specifications, i. e., area coverage, spatial resolution, pre-processing level and imaging mode, is application-oriented. Coastline extraction: High-resolution data and coherent dualpol information are needed to improve the performance of algorithms. High-resolution data and quad-pol information are needed to improve detection rate and to assist target classification.
23 CONCLUSIONS & RECOMMENDATIONS According to the presented showcases, the research activities undertaken using X- band COSMO-SkyMed 1 ST Generation SAR data pointed out that: Sea oil slick monitoring: Coherent HH-VV (quad-pol) information and low NESZ are needed to accomplish (automatic) detection and zoning. Monitoring Extreme Weather Events: Coherent dual-pol data are needed to improve the understanding on non-bragg phenomena. EM modeling: High-quality data, i. e., lower NESZ and finer radiometric accuracy, are needed to improve model predictions.
24 RELEVANT PUBLICATIONS Workshop La Missione COSMO-SkyMed: Stato A. Buono, F. Nunziata, M. Migliaccio, G.Benassai, Dual-Polarimetric C- and X-Band SAR Data for Coastline Extraction, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., vol.9, no.11, pp , ASI-SOAR Project 5223: Multi-polarization SAR data for coastal zone monitoring. X. Ding, F. Nunziata, X. Li, M. Migliaccio, Performance Analysis and Validation of Waterline Extraction Approaches Using Single- and Dual-Polarimetric SAR Data, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., vol.8, no.3, pp , ASI Project 1221: SAR Remote Sensing for Sea Oil Spill Observation. A. Buono, F. Nunziata, L. Mascolo, M. Migliaccio, A Multipolarization Analysis of Coastline Extraction, Using X-Band COSMO-SkyMed SAR Data, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., vol.7, no.7, pp , ASI-SOAR Project 5223: Multi-polarization SAR data for coastal zone monitoring. F. Nunziata, M. Migliaccio, X. Li, X. Ding, Coastline Extraction using Dual-polarimetric COSMO-SkyMed PingPong Mode SAR Data, IEEE Geosci. Remote Sens. Lett., vol.11, no.1, pp , ASI Project 1221: SAR Remote Sensing for Sea Oil Spill Observation. F. Nunziata, M. Migliaccio, On the COSMO-SkyMed PingPong Mode to Observe Metallic Targets at Sea, IEEE J. Ocean. Engin., vol.38, no.1, pp.71-79, ASI Project 1221: SAR Remote Sensing for Sea Oil Spill Observation. M. Migliaccio, F. Nunziata, A. Montuori, R.L. Paes, Single-Look Complex COSMO-SkyMed SAR Data to Observe Metallic Targets at Sea, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., vol.5, no.3, pp , ASI Project 1221: SAR Remote Sensing for Sea Oil Spill Observation. A. Montuori, F. Nunziata, M. Migliaccio, P. Sobieski, X-Band Two-Scale Sea Surface Scattering Model to Predict the Contrast due to an Oil slick, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., vol.9, no.11, pp , ASI Project 1221: SAR Remote Sensing for Sea Oil Spill Observation.
25 RELEVANT PUBLICATIONS Y. Cheng, B. Liu, X. Li, F. Nunziata, Q. Xue, X. Ding, M. Migliaccio, W.G. Pichel, Monitoring of Oil Spill Trajectories with COSMO-SkyMed X-band SAR Images and Model Simulation, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., vol.7, no.7, pp , ASI Project 1221: SAR Remote Sensing for Sea Oil Spill Observation. V. Corcione, F. Nunziata, M. Migliaccio, Megi Typhoon Monitoring by X-Band Synthetic Aperture Radar Measurements, IEEE J. Ocean. Engin., SP, pp. 1-11, ASI Project 1221: SAR Remote Sensing for Sea Oil Spill Observation. G. Grieco, F. Nirchio, M. Migliaccio, Application of state-of-the-art SAR X-band Geophysical Model Functions (GMFs) for Sea Surface Wind (SSW) Speed Retrieval to a Data Set of the Italian Satellite Mission COSMO-SkyMed, Int. J. Remote Sens., vol.36, no.9, pp , G. Benassai, M. Migliaccio, A. Montuori, Sea Wave Numerical Simulations with Cosmo-SkyMed SAR data, J. Coast. Res., no.65, pp , G. Benassai, A. Montuori, M. Migliaccio, F. Nunziata, Sea wave modeling with X-band COSMO-SkyMed SAR-derived wind field forcing and applications in coastal vulnerability assessment, Ocean Sci., vol.9, pp , ASI Project 1500: Improvement of Oceanic Modeling for Coastal Management by means of COSMO-SkyMed SAR data. A. Montuori, P. de Ruggiero, M. Migliaccio, S. Pierini, G. Spezie, X-band COSMO-SkyMed Wind field Retrieval with Application to Coastal Circulation Modeling, Ocean Sci., vol.9, pp , ASI Project 1500: Improvement of Oceanic Modeling for Coastal Management by means of COSMO- SkyMed SAR data. D. Schiavulli, A. Sorrentino, M. Migliaccio, An Automatic Procedure for Scalloping Suppression and Homogeneity Analysis of Sea X- Band CSK SAR Images, Atti della Fondazione Giorgio Ronchi, vol.lxvii, no.1, pp.27-37, ASI Project 1500: Improvement of Oceanic Modeling for Coastal Management by means of COSMO-SkyMed SAR data. G. Benassai, M. Migliaccio, F. Nunziata, The Use of COSMO-SkyMed SAR Data for Coastal Management, J. Marine Sci. Tech., 2015.
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