Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis

Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) techniques are gaining momentum in the assessment and health monitoring of infrastructure assets. Amongst others, the Persistent Scatterers Interferometry (PSI) technique has proven to be viable for the long-term evaluation of ground scatterers. However, its effectiveness as a routine tool for certain critical application areas, such as the assessment of millimetre-scale differential displacements in airport runways, is still debated. This research aims to demonstrate the viability of using medium-resolution Copernicus ESA Sentinel-1A (C-Band) SAR products and their contribution to improve current maintenance strategies in case of localised foundation settlements in airport runways. To this purpose, “Runway n.3” of the “Leonardo Da Vinci International Airport” in Fiumicino, Rome, Italy was investigated as an explanatory case study, in view of historical geotechnical settlements affecting the runway area. In this context, a geostatistical study is developed for the exploratory spatial data analysis and the interpolation of the Sentinel-1A SAR data. The geostatistical analysis provided ample information on the spatial continuity of the Sentinel 1 data in comparison with the high-resolution COSMO-SkyMed data and the ground-based topographic levelling data. Furthermore, a comparison between the PSI outcomes from the Sentinel-1A SAR data—interpolated through Ordinary Kriging—and the ground-truth topographic levelling data demonstrated the high accuracy of the Sentinel 1 data. This is proven by the high values of the correlation coefficient (<i<r</i< = 0.94), the multiple R-squared coefficient (<i<R</i<<sup<2</sup< = 0.88) and the Slope value (0.96). The results of this study clearly support the effectiveness of using Sentinel-1A SAR data as a continuous and long-term routine monitoring tool for millimetre-scale displacements in airport runways, paving the way for the development of more efficient and sustainable maintenance strategies for inclusion in next generation Airport Pavement Management Systems (APMSs). Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Valerio Gagliardi [verfasserIn] Luca Bianchini Ciampoli [verfasserIn] Sebastiano Trevisani [verfasserIn] Fabrizio D’Amico [verfasserIn] Amir M. Alani [verfasserIn] Andrea Benedetto [verfasserIn] Fabio Tosti [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	satellite remote sensing airport runway monitoring ESA Sentinel 1 (C-Band) SAR data Multi-Temporal SAR Interferometry (MT-InSAR) Persistent Scatterers Interferometry (PSI) geostatistics

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 21(2021), 17, p 5769
Übergeordnetes Werk:	volume:21 ; year:2021 ; number:17, p 5769

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s21175769

Katalog-ID:	DOAJ030699304

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allfields	10.3390/s21175769 doi (DE-627)DOAJ030699304 (DE-599)DOAJe1a1002940074db597388790cf4820e1 DE-627 ger DE-627 rakwb eng TP1-1185 Valerio Gagliardi verfasserin aut Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) techniques are gaining momentum in the assessment and health monitoring of infrastructure assets. Amongst others, the Persistent Scatterers Interferometry (PSI) technique has proven to be viable for the long-term evaluation of ground scatterers. However, its effectiveness as a routine tool for certain critical application areas, such as the assessment of millimetre-scale differential displacements in airport runways, is still debated. This research aims to demonstrate the viability of using medium-resolution Copernicus ESA Sentinel-1A (C-Band) SAR products and their contribution to improve current maintenance strategies in case of localised foundation settlements in airport runways. To this purpose, “Runway n.3” of the “Leonardo Da Vinci International Airport” in Fiumicino, Rome, Italy was investigated as an explanatory case study, in view of historical geotechnical settlements affecting the runway area. In this context, a geostatistical study is developed for the exploratory spatial data analysis and the interpolation of the Sentinel-1A SAR data. The geostatistical analysis provided ample information on the spatial continuity of the Sentinel 1 data in comparison with the high-resolution COSMO-SkyMed data and the ground-based topographic levelling data. Furthermore, a comparison between the PSI outcomes from the Sentinel-1A SAR data—interpolated through Ordinary Kriging—and the ground-truth topographic levelling data demonstrated the high accuracy of the Sentinel 1 data. This is proven by the high values of the correlation coefficient (<i<r</i< = 0.94), the multiple R-squared coefficient (<i<R</i<<sup<2</sup< = 0.88) and the Slope value (0.96). The results of this study clearly support the effectiveness of using Sentinel-1A SAR data as a continuous and long-term routine monitoring tool for millimetre-scale displacements in airport runways, paving the way for the development of more efficient and sustainable maintenance strategies for inclusion in next generation Airport Pavement Management Systems (APMSs). satellite remote sensing airport runway monitoring ESA Sentinel 1 (C-Band) SAR data Multi-Temporal SAR Interferometry (MT-InSAR) Persistent Scatterers Interferometry (PSI) geostatistics Chemical technology Luca Bianchini Ciampoli verfasserin aut Sebastiano Trevisani verfasserin aut Fabrizio D’Amico verfasserin aut Amir M. Alani verfasserin aut Andrea Benedetto verfasserin aut Fabio Tosti verfasserin aut In Sensors MDPI AG, 2003 21(2021), 17, p 5769 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:17, p 5769 https://doi.org/10.3390/s21175769 kostenfrei https://doaj.org/article/e1a1002940074db597388790cf4820e1 kostenfrei https://www.mdpi.com/1424-8220/21/17/5769 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 17, p 5769
spelling	10.3390/s21175769 doi (DE-627)DOAJ030699304 (DE-599)DOAJe1a1002940074db597388790cf4820e1 DE-627 ger DE-627 rakwb eng TP1-1185 Valerio Gagliardi verfasserin aut Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) techniques are gaining momentum in the assessment and health monitoring of infrastructure assets. Amongst others, the Persistent Scatterers Interferometry (PSI) technique has proven to be viable for the long-term evaluation of ground scatterers. However, its effectiveness as a routine tool for certain critical application areas, such as the assessment of millimetre-scale differential displacements in airport runways, is still debated. This research aims to demonstrate the viability of using medium-resolution Copernicus ESA Sentinel-1A (C-Band) SAR products and their contribution to improve current maintenance strategies in case of localised foundation settlements in airport runways. To this purpose, “Runway n.3” of the “Leonardo Da Vinci International Airport” in Fiumicino, Rome, Italy was investigated as an explanatory case study, in view of historical geotechnical settlements affecting the runway area. In this context, a geostatistical study is developed for the exploratory spatial data analysis and the interpolation of the Sentinel-1A SAR data. The geostatistical analysis provided ample information on the spatial continuity of the Sentinel 1 data in comparison with the high-resolution COSMO-SkyMed data and the ground-based topographic levelling data. Furthermore, a comparison between the PSI outcomes from the Sentinel-1A SAR data—interpolated through Ordinary Kriging—and the ground-truth topographic levelling data demonstrated the high accuracy of the Sentinel 1 data. This is proven by the high values of the correlation coefficient (<i<r</i< = 0.94), the multiple R-squared coefficient (<i<R</i<<sup<2</sup< = 0.88) and the Slope value (0.96). The results of this study clearly support the effectiveness of using Sentinel-1A SAR data as a continuous and long-term routine monitoring tool for millimetre-scale displacements in airport runways, paving the way for the development of more efficient and sustainable maintenance strategies for inclusion in next generation Airport Pavement Management Systems (APMSs). satellite remote sensing airport runway monitoring ESA Sentinel 1 (C-Band) SAR data Multi-Temporal SAR Interferometry (MT-InSAR) Persistent Scatterers Interferometry (PSI) geostatistics Chemical technology Luca Bianchini Ciampoli verfasserin aut Sebastiano Trevisani verfasserin aut Fabrizio D’Amico verfasserin aut Amir M. Alani verfasserin aut Andrea Benedetto verfasserin aut Fabio Tosti verfasserin aut In Sensors MDPI AG, 2003 21(2021), 17, p 5769 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:17, p 5769 https://doi.org/10.3390/s21175769 kostenfrei https://doaj.org/article/e1a1002940074db597388790cf4820e1 kostenfrei https://www.mdpi.com/1424-8220/21/17/5769 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 17, p 5769
allfields_unstemmed	10.3390/s21175769 doi (DE-627)DOAJ030699304 (DE-599)DOAJe1a1002940074db597388790cf4820e1 DE-627 ger DE-627 rakwb eng TP1-1185 Valerio Gagliardi verfasserin aut Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) techniques are gaining momentum in the assessment and health monitoring of infrastructure assets. Amongst others, the Persistent Scatterers Interferometry (PSI) technique has proven to be viable for the long-term evaluation of ground scatterers. However, its effectiveness as a routine tool for certain critical application areas, such as the assessment of millimetre-scale differential displacements in airport runways, is still debated. This research aims to demonstrate the viability of using medium-resolution Copernicus ESA Sentinel-1A (C-Band) SAR products and their contribution to improve current maintenance strategies in case of localised foundation settlements in airport runways. To this purpose, “Runway n.3” of the “Leonardo Da Vinci International Airport” in Fiumicino, Rome, Italy was investigated as an explanatory case study, in view of historical geotechnical settlements affecting the runway area. In this context, a geostatistical study is developed for the exploratory spatial data analysis and the interpolation of the Sentinel-1A SAR data. The geostatistical analysis provided ample information on the spatial continuity of the Sentinel 1 data in comparison with the high-resolution COSMO-SkyMed data and the ground-based topographic levelling data. Furthermore, a comparison between the PSI outcomes from the Sentinel-1A SAR data—interpolated through Ordinary Kriging—and the ground-truth topographic levelling data demonstrated the high accuracy of the Sentinel 1 data. This is proven by the high values of the correlation coefficient (<i<r</i< = 0.94), the multiple R-squared coefficient (<i<R</i<<sup<2</sup< = 0.88) and the Slope value (0.96). The results of this study clearly support the effectiveness of using Sentinel-1A SAR data as a continuous and long-term routine monitoring tool for millimetre-scale displacements in airport runways, paving the way for the development of more efficient and sustainable maintenance strategies for inclusion in next generation Airport Pavement Management Systems (APMSs). satellite remote sensing airport runway monitoring ESA Sentinel 1 (C-Band) SAR data Multi-Temporal SAR Interferometry (MT-InSAR) Persistent Scatterers Interferometry (PSI) geostatistics Chemical technology Luca Bianchini Ciampoli verfasserin aut Sebastiano Trevisani verfasserin aut Fabrizio D’Amico verfasserin aut Amir M. Alani verfasserin aut Andrea Benedetto verfasserin aut Fabio Tosti verfasserin aut In Sensors MDPI AG, 2003 21(2021), 17, p 5769 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:17, p 5769 https://doi.org/10.3390/s21175769 kostenfrei https://doaj.org/article/e1a1002940074db597388790cf4820e1 kostenfrei https://www.mdpi.com/1424-8220/21/17/5769 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 17, p 5769
allfieldsGer	10.3390/s21175769 doi (DE-627)DOAJ030699304 (DE-599)DOAJe1a1002940074db597388790cf4820e1 DE-627 ger DE-627 rakwb eng TP1-1185 Valerio Gagliardi verfasserin aut Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) techniques are gaining momentum in the assessment and health monitoring of infrastructure assets. Amongst others, the Persistent Scatterers Interferometry (PSI) technique has proven to be viable for the long-term evaluation of ground scatterers. However, its effectiveness as a routine tool for certain critical application areas, such as the assessment of millimetre-scale differential displacements in airport runways, is still debated. This research aims to demonstrate the viability of using medium-resolution Copernicus ESA Sentinel-1A (C-Band) SAR products and their contribution to improve current maintenance strategies in case of localised foundation settlements in airport runways. To this purpose, “Runway n.3” of the “Leonardo Da Vinci International Airport” in Fiumicino, Rome, Italy was investigated as an explanatory case study, in view of historical geotechnical settlements affecting the runway area. In this context, a geostatistical study is developed for the exploratory spatial data analysis and the interpolation of the Sentinel-1A SAR data. The geostatistical analysis provided ample information on the spatial continuity of the Sentinel 1 data in comparison with the high-resolution COSMO-SkyMed data and the ground-based topographic levelling data. Furthermore, a comparison between the PSI outcomes from the Sentinel-1A SAR data—interpolated through Ordinary Kriging—and the ground-truth topographic levelling data demonstrated the high accuracy of the Sentinel 1 data. This is proven by the high values of the correlation coefficient (<i<r</i< = 0.94), the multiple R-squared coefficient (<i<R</i<<sup<2</sup< = 0.88) and the Slope value (0.96). The results of this study clearly support the effectiveness of using Sentinel-1A SAR data as a continuous and long-term routine monitoring tool for millimetre-scale displacements in airport runways, paving the way for the development of more efficient and sustainable maintenance strategies for inclusion in next generation Airport Pavement Management Systems (APMSs). satellite remote sensing airport runway monitoring ESA Sentinel 1 (C-Band) SAR data Multi-Temporal SAR Interferometry (MT-InSAR) Persistent Scatterers Interferometry (PSI) geostatistics Chemical technology Luca Bianchini Ciampoli verfasserin aut Sebastiano Trevisani verfasserin aut Fabrizio D’Amico verfasserin aut Amir M. Alani verfasserin aut Andrea Benedetto verfasserin aut Fabio Tosti verfasserin aut In Sensors MDPI AG, 2003 21(2021), 17, p 5769 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:17, p 5769 https://doi.org/10.3390/s21175769 kostenfrei https://doaj.org/article/e1a1002940074db597388790cf4820e1 kostenfrei https://www.mdpi.com/1424-8220/21/17/5769 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 17, p 5769
allfieldsSound	10.3390/s21175769 doi (DE-627)DOAJ030699304 (DE-599)DOAJe1a1002940074db597388790cf4820e1 DE-627 ger DE-627 rakwb eng TP1-1185 Valerio Gagliardi verfasserin aut Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) techniques are gaining momentum in the assessment and health monitoring of infrastructure assets. Amongst others, the Persistent Scatterers Interferometry (PSI) technique has proven to be viable for the long-term evaluation of ground scatterers. However, its effectiveness as a routine tool for certain critical application areas, such as the assessment of millimetre-scale differential displacements in airport runways, is still debated. This research aims to demonstrate the viability of using medium-resolution Copernicus ESA Sentinel-1A (C-Band) SAR products and their contribution to improve current maintenance strategies in case of localised foundation settlements in airport runways. To this purpose, “Runway n.3” of the “Leonardo Da Vinci International Airport” in Fiumicino, Rome, Italy was investigated as an explanatory case study, in view of historical geotechnical settlements affecting the runway area. In this context, a geostatistical study is developed for the exploratory spatial data analysis and the interpolation of the Sentinel-1A SAR data. The geostatistical analysis provided ample information on the spatial continuity of the Sentinel 1 data in comparison with the high-resolution COSMO-SkyMed data and the ground-based topographic levelling data. Furthermore, a comparison between the PSI outcomes from the Sentinel-1A SAR data—interpolated through Ordinary Kriging—and the ground-truth topographic levelling data demonstrated the high accuracy of the Sentinel 1 data. This is proven by the high values of the correlation coefficient (<i<r</i< = 0.94), the multiple R-squared coefficient (<i<R</i<<sup<2</sup< = 0.88) and the Slope value (0.96). The results of this study clearly support the effectiveness of using Sentinel-1A SAR data as a continuous and long-term routine monitoring tool for millimetre-scale displacements in airport runways, paving the way for the development of more efficient and sustainable maintenance strategies for inclusion in next generation Airport Pavement Management Systems (APMSs). satellite remote sensing airport runway monitoring ESA Sentinel 1 (C-Band) SAR data Multi-Temporal SAR Interferometry (MT-InSAR) Persistent Scatterers Interferometry (PSI) geostatistics Chemical technology Luca Bianchini Ciampoli verfasserin aut Sebastiano Trevisani verfasserin aut Fabrizio D’Amico verfasserin aut Amir M. Alani verfasserin aut Andrea Benedetto verfasserin aut Fabio Tosti verfasserin aut In Sensors MDPI AG, 2003 21(2021), 17, p 5769 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:17, p 5769 https://doi.org/10.3390/s21175769 kostenfrei https://doaj.org/article/e1a1002940074db597388790cf4820e1 kostenfrei https://www.mdpi.com/1424-8220/21/17/5769 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 17, p 5769
language	English
source	In Sensors 21(2021), 17, p 5769 volume:21 year:2021 number:17, p 5769
sourceStr	In Sensors 21(2021), 17, p 5769 volume:21 year:2021 number:17, p 5769
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	satellite remote sensing airport runway monitoring ESA Sentinel 1 (C-Band) SAR data Multi-Temporal SAR Interferometry (MT-InSAR) Persistent Scatterers Interferometry (PSI) geostatistics Chemical technology
isfreeaccess_bool	true
container_title	Sensors
authorswithroles_txt_mv	Valerio Gagliardi @@aut@@ Luca Bianchini Ciampoli @@aut@@ Sebastiano Trevisani @@aut@@ Fabrizio D’Amico @@aut@@ Amir M. Alani @@aut@@ Andrea Benedetto @@aut@@ Fabio Tosti @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	331640910
id	DOAJ030699304
language_de	englisch
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callnumber-first	T - Technology
author	Valerio Gagliardi
spellingShingle	Valerio Gagliardi misc TP1-1185 misc satellite remote sensing misc airport runway monitoring misc ESA Sentinel 1 (C-Band) SAR data misc Multi-Temporal SAR Interferometry (MT-InSAR) misc Persistent Scatterers Interferometry (PSI) misc geostatistics misc Chemical technology Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis
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topic_title	TP1-1185 Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis satellite remote sensing airport runway monitoring ESA Sentinel 1 (C-Band) SAR data Multi-Temporal SAR Interferometry (MT-InSAR) Persistent Scatterers Interferometry (PSI) geostatistics
topic	misc TP1-1185 misc satellite remote sensing misc airport runway monitoring misc ESA Sentinel 1 (C-Band) SAR data misc Multi-Temporal SAR Interferometry (MT-InSAR) misc Persistent Scatterers Interferometry (PSI) misc geostatistics misc Chemical technology
topic_unstemmed	misc TP1-1185 misc satellite remote sensing misc airport runway monitoring misc ESA Sentinel 1 (C-Band) SAR data misc Multi-Temporal SAR Interferometry (MT-InSAR) misc Persistent Scatterers Interferometry (PSI) misc geostatistics misc Chemical technology
topic_browse	misc TP1-1185 misc satellite remote sensing misc airport runway monitoring misc ESA Sentinel 1 (C-Band) SAR data misc Multi-Temporal SAR Interferometry (MT-InSAR) misc Persistent Scatterers Interferometry (PSI) misc geostatistics misc Chemical technology
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title	Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis
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title_full	Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis
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author_browse	Valerio Gagliardi Luca Bianchini Ciampoli Sebastiano Trevisani Fabrizio D’Amico Amir M. Alani Andrea Benedetto Fabio Tosti
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title_sort	testing sentinel-1 sar interferometry data for airport runway monitoring: a geostatistical analysis
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title_auth	Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis
abstract	Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) techniques are gaining momentum in the assessment and health monitoring of infrastructure assets. Amongst others, the Persistent Scatterers Interferometry (PSI) technique has proven to be viable for the long-term evaluation of ground scatterers. However, its effectiveness as a routine tool for certain critical application areas, such as the assessment of millimetre-scale differential displacements in airport runways, is still debated. This research aims to demonstrate the viability of using medium-resolution Copernicus ESA Sentinel-1A (C-Band) SAR products and their contribution to improve current maintenance strategies in case of localised foundation settlements in airport runways. To this purpose, “Runway n.3” of the “Leonardo Da Vinci International Airport” in Fiumicino, Rome, Italy was investigated as an explanatory case study, in view of historical geotechnical settlements affecting the runway area. In this context, a geostatistical study is developed for the exploratory spatial data analysis and the interpolation of the Sentinel-1A SAR data. The geostatistical analysis provided ample information on the spatial continuity of the Sentinel 1 data in comparison with the high-resolution COSMO-SkyMed data and the ground-based topographic levelling data. Furthermore, a comparison between the PSI outcomes from the Sentinel-1A SAR data—interpolated through Ordinary Kriging—and the ground-truth topographic levelling data demonstrated the high accuracy of the Sentinel 1 data. This is proven by the high values of the correlation coefficient (<i<r</i< = 0.94), the multiple R-squared coefficient (<i<R</i<<sup<2</sup< = 0.88) and the Slope value (0.96). The results of this study clearly support the effectiveness of using Sentinel-1A SAR data as a continuous and long-term routine monitoring tool for millimetre-scale displacements in airport runways, paving the way for the development of more efficient and sustainable maintenance strategies for inclusion in next generation Airport Pavement Management Systems (APMSs).
abstractGer	Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) techniques are gaining momentum in the assessment and health monitoring of infrastructure assets. Amongst others, the Persistent Scatterers Interferometry (PSI) technique has proven to be viable for the long-term evaluation of ground scatterers. However, its effectiveness as a routine tool for certain critical application areas, such as the assessment of millimetre-scale differential displacements in airport runways, is still debated. This research aims to demonstrate the viability of using medium-resolution Copernicus ESA Sentinel-1A (C-Band) SAR products and their contribution to improve current maintenance strategies in case of localised foundation settlements in airport runways. To this purpose, “Runway n.3” of the “Leonardo Da Vinci International Airport” in Fiumicino, Rome, Italy was investigated as an explanatory case study, in view of historical geotechnical settlements affecting the runway area. In this context, a geostatistical study is developed for the exploratory spatial data analysis and the interpolation of the Sentinel-1A SAR data. The geostatistical analysis provided ample information on the spatial continuity of the Sentinel 1 data in comparison with the high-resolution COSMO-SkyMed data and the ground-based topographic levelling data. Furthermore, a comparison between the PSI outcomes from the Sentinel-1A SAR data—interpolated through Ordinary Kriging—and the ground-truth topographic levelling data demonstrated the high accuracy of the Sentinel 1 data. This is proven by the high values of the correlation coefficient (<i<r</i< = 0.94), the multiple R-squared coefficient (<i<R</i<<sup<2</sup< = 0.88) and the Slope value (0.96). The results of this study clearly support the effectiveness of using Sentinel-1A SAR data as a continuous and long-term routine monitoring tool for millimetre-scale displacements in airport runways, paving the way for the development of more efficient and sustainable maintenance strategies for inclusion in next generation Airport Pavement Management Systems (APMSs).
abstract_unstemmed	Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) techniques are gaining momentum in the assessment and health monitoring of infrastructure assets. Amongst others, the Persistent Scatterers Interferometry (PSI) technique has proven to be viable for the long-term evaluation of ground scatterers. However, its effectiveness as a routine tool for certain critical application areas, such as the assessment of millimetre-scale differential displacements in airport runways, is still debated. This research aims to demonstrate the viability of using medium-resolution Copernicus ESA Sentinel-1A (C-Band) SAR products and their contribution to improve current maintenance strategies in case of localised foundation settlements in airport runways. To this purpose, “Runway n.3” of the “Leonardo Da Vinci International Airport” in Fiumicino, Rome, Italy was investigated as an explanatory case study, in view of historical geotechnical settlements affecting the runway area. In this context, a geostatistical study is developed for the exploratory spatial data analysis and the interpolation of the Sentinel-1A SAR data. The geostatistical analysis provided ample information on the spatial continuity of the Sentinel 1 data in comparison with the high-resolution COSMO-SkyMed data and the ground-based topographic levelling data. Furthermore, a comparison between the PSI outcomes from the Sentinel-1A SAR data—interpolated through Ordinary Kriging—and the ground-truth topographic levelling data demonstrated the high accuracy of the Sentinel 1 data. This is proven by the high values of the correlation coefficient (<i<r</i< = 0.94), the multiple R-squared coefficient (<i<R</i<<sup<2</sup< = 0.88) and the Slope value (0.96). The results of this study clearly support the effectiveness of using Sentinel-1A SAR data as a continuous and long-term routine monitoring tool for millimetre-scale displacements in airport runways, paving the way for the development of more efficient and sustainable maintenance strategies for inclusion in next generation Airport Pavement Management Systems (APMSs).
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title_short	Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis
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