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Testing Sentinel-1 SAR Interferometry Data for Airport Runway Monitoring: A Geostatistical Analysis
- Source :
- Sensors, Volume 21, Issue 17, Sensors, Vol 21, Iss 5769, p 5769 (2021), Sensors (Basel, Switzerland)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
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).
- Subjects :
- construction
airport runway monitoring
ESA Sentinel 1 (C-Band) SAR data
Airport Pavement Management System (APMS)
Multi-Temporal SAR Interferometry (MT-InSAR)
Persistent Scatterers Interferometry (PSI)
geostatistics
kriging interpolation
satellite remote sensing
topographic levelling
Interferometry
Italy
Airports
Radar
Computer science
Context (language use)
TP1-1185
Biochemistry
International airport
Article
Analytical Chemistry
Geostatistic
Kriging
Satellite remote sensing
Interferometric synthetic aperture radar
Airport runway monitoring
Electrical and Electronic Engineering
Instrumentation
Spatial analysis
Remote sensing
Levelling
Chemical technology
Pavement management
Airport
Atomic and Molecular Physics, and Optics
Topographic levelling
Kriging interpolation
Runway
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....6d5d4d8cad4326800ccbe93576f311c6
- Full Text :
- https://doi.org/10.3390/s21175769