Testing sentinel-1 SAR interferometry data for airport runway monitoring: a geostatistical analysis

Gagliardi, Valerio, Bianchini Ciampoli, Luca, Trevisani, Sebastiano, D’Amico, Fabrizio, Alani, Amir, Benedetto, Andrea and Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937 (2021) Testing sentinel-1 SAR interferometry data for airport runway monitoring: a geostatistical analysis. Sensors, 21 (17). p. 5769.

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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 (r = 0.94), the multiple R-squared coefficient (R2 = 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).

Item Type: Article
Additional Information: This is the final published version of the following article: [Gagliardi, V., Bianchini Ciampoli, L., Trevisani, S., D’Amico, F., Alani, A.M., Benedetto, A., Tosti, F., 2021. Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis. Sensors 21. https://doi.org/10.3390/s21175769], which appears in Sensors. This research falls within the National Project “Extended Resilience Analysis of Transport Networks” (EXTRA TN), PRIN 2017, Prot. 20179BP4SM supported by the Italian Ministry of Education, University and Research (MIUR). In addition, the authors acknowledge funding from the MIUR, in the frame of the “Departments of Excellence Initiative 2018–2022”, attributed to the Department of Engineering of Roma Tre University.
Uncontrolled Keywords: satellite remote sensing; airport runway monitoring; ESA Sentinel 1 (C-Band) SAR data; Multi-Temporal SAR Interferometry (MT-InSAR); Persistent Scatterers Interferometry (PSI); geostatistics; kriging interpolation; topographic levelling; Airport Pavement Management System (APMS)
Subjects: Construction and engineering
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Depositing User: Amir Alani
Date Deposited: 03 Sep 2021 11:18
Last Modified: 03 Sep 2021 12:43
URI: http://repository.uwl.ac.uk/id/eprint/8217

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