Displacement monitoring in airport runways by persistent scatterers SAR interferometry

Lists

Bianchini Ciampoli, Luca, Gagliardi, Valerio, Ferrante, Chiara, Calvi, Alessandro, D'Amico, Fabrizio and Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937 (2020) Displacement monitoring in airport runways by persistent scatterers SAR interferometry. Remote Sensing, 12 (21). p. 3564.

Preview	PDF Bianchini et al_RS.pdf - Accepted Version Available under License Creative Commons Attribution. Download (1MB) \| Preview
Preview	PDF remotesensing-12-03564.pdf - Published Version Available under License Creative Commons Attribution. Download (4MB) \| Preview

Official URL: https://doi.org/10.3390/rs12213564

Abstract

Deformations monitoring in airport runways and the surrounding areas is crucial, especially in case of low-bearing capacity subgrades, such as the clayey subgrade soils. An effective monitoring of the infrastructure asset allows to secure the highest necessary standards in terms of the operational and safety requirements. Amongst the emerging remote sensing techniques for transport infrastructures monitoring, the Persistent Scatterers Interferometry (PSI) technique has proven effective for the evaluation of the ground deformations. However, its use for certain demanding applications, such a as the assessment of millimetric differential deformations in airport runways, is still considered as an open issue for future developments. In this study, a time-series analysis of COSMO-SkyMed satellite images acquired from January 2015 to April 2019 is carried out by employing the PSI technique. The aim is to retrieve the mean deformation velocity and time series of the surface deformations occurring in airport runways. The technique is applied to Runway 3 at the “Leonardo da Vinci” International Airport in Rome, Italy. The proposed PSI technique is then validated by way of comparison with the deformation outcomes obtained on the runway by traditional topographic levelling over the same time span. The results of this study clearly demonstrate the efficiency and the accuracy of the applied PSI technique for the assessment of deformations in airport runways.

Item Type:	Article
Identifier:	10.3390/rs12213564
Additional Information:	MOBI: Monitoring Bridges and Infrastructure Networks” (EOhops proposal 2045 (id 52479)) This article belongs to the Special Issue Trends in GPR and Other NDTs for Transport Infrastructure Assessment)
Keywords:	Interferometric Synthetic Aperture Radar, InSAR, Permanent Scatterers, PS-InSAR, Transport Infrastructure Maintenance; Airport runway; Airport monitoring
Subjects:	Construction and engineering > Civil and environmental engineering Construction and engineering > Digital signal processing Construction and engineering > Electrical and electronic engineering Construction and engineering > Civil and structural engineering Construction and engineering
Related URLs:	Publisher Publisher
Depositing User:	Fabio Tosti
Date Deposited:	29 Oct 2020 21:17
Last Modified:	04 Nov 2024 11:46
URI:	https://repository.uwl.ac.uk/id/eprint/7438

Downloads

Downloads per month over past year

Actions (login required)

View Item

References

1. Federal Aviation Administration (FAA), Advisory Circular AC 150/5370-10H - Standard Specifications for Construction of Airports, 2018
2. Federal Aviation Administration (FAA), Advisory Circular AC 150/5320-6F - Airport Pavement Design and Evaluation, 2016
3. Li, D., Selig, E.T., Cumulative plastic deformation for fine-grained subgrade soils, Journal of Geotechnical Engineering, 1996, 122 (12), 1006-1013.
4. Zhou, J., Gong, X., Li, J., Experimental study on saturated soft clay under cyclic loading, Industrial Construction, 2000, 30 (11).
5. Bevilacqua, M., Braglia, M., The analytic hierarchy process applied to maintenance strategy selection, Reliability Engineering and System Safety, 2000, 70, 71-83
6. Cosser, E., Roberts, G.W., Meng, X., Dodson, A.H., Measuring the Dynamic Deformation of Bridges Using a Total Station, Proceedings, 11th FIG Symposium on Deformation Measurements, Santorini, Greece, 2003
7. Chen, W., Yuan, J., Li, M., Application of GIS/GPS in Shanghai Airport Pavement Management System, International Workshop on Information and Electronics Engineering (IWIEE), Elsevier, 2012
8. Barbarella, M., De Blasiis, M.R., Fiani, M., Terrestrial laser scanner for the analysis of airport pavement geometry, International Journal of Pavement Engineering, 2019, 20(4), 466-480.
9. Bianchini Ciampoli, L Gagliardi, V., Clementini, C., Latini, D., Del Frate, F., Benedetto, A., Transport Infrastructure Monitoring by InSAR and GPR Data Fusion, Surveys in Geophysics, 2020, 41, 371–394.
10. Bru, G., Herrera, G., Tomás, R., Duro, J., de la Vega, R., Mulas, J., Control of deformation of buildings affected by subsidence using persistent scatterer interferometry, Structure and Infrastructure Engineering, 2013, 9 (2), 188-200.
11. Koudogbo F, Urdiroz A, Robles JG, Chapron G, Lebon G, Fluteaux V, Priol G., Radar interferometry as an innovative solution for monitoring the construction of the Grand Paris Express metro network—first results. In: World tunnel conference, 2–25 April, Dubai, 2018
12. Ferretti, A., Prati, C., Rocca, F., Nonlinear subsidence rate estimation using permanent scatterers in indifferential SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(5), 2202–2212.
13. Ferretti, A., Prati, C., Rocca, F., Analysis of permanent scatterers in {SAR} interferometry, IEEE Transactions on Geoscience and Remote Sensing, 2000, 39(1):761 – 763.
14. Elhassan, I., Ali, A.S., Comparative study of accuracy in distance measurement using: Optical and digital levels, Journal of King Saud University – Engineering Sciences, 23, 15-19, 2011
15. Kuhlmann, H. and Glaser, A., Investigation of New Measurement Techniques for Bridge Monitoring, 2nd Symposium on Geodesy for Geotechnical and Structural Engineering, Berlin, Germany, 2002.
16. Uddin, W., Gutelius, B., Parrish, C., Airborne Laser Survey Specifications and Quality Management Protocols for Airport Obstruction Surveys, Transportation Research Record: Journal of the Transportation Research Board, 2011, No. 2214, pp. 117–125.
17. Hill, C. D. and Sippel, K. D., Modern Deformation Monitoring: A Multi Sensor Approach, FIG XXII International Congress, Washington DC, USA, 2002.
18. Radovanovic, R. S. and Teskey, W. F., Dynamic Monitoring of Deforming Structures: GPS verses Robotic Tacheometry Systems, The 10th FIG International Symposium on Deformation Measurements, Orange, California, USA, 2001
19. Meng, X., Real-time Deformation Monitoring of Bridges Using GPS/Accelerometers," PhD thesis, University of Nottingham, Nottingham, UK, 2002
20. Uddin, W., Al-Turk, E., Airport obstruction space management using airborne LIDAR three dimensional digital terrain mapping, Federal Aviation Administration Technology Transfer Conference, 2002
21. Kim, J.S., Lee, J.C., Kang, I.J, Cha, S.Y., Choi, H., Lee, T.G., Extraction of geometric information on highway using terrestrial laser scanning technology. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2008, 37 (B5), 539–544.
22. Williams, K., Olsen, M.J., Roe, G.V., Glennie, C., Synthesis of transportation applications of mobile LIDAR. Remote Sensing, 2013, 5 (9), 4652–4692.
23. Laurent, J., Hebert, J.F., Lefebvre, D., Savard, Y., Using 3D laser road profiling sensors for the automated measurement of road surface conditions. In: A. Scarpas, N. Kringos, I.A. Al-Qadi, eds. 7th RILEM international conference on cracking in pavements, mechanisms, modeling, testing, detection and prevention case histories, Vol. 4, 2012. Dordrecht: Springer, 157–167, 2012.
24. Pu, S., et al., Recognizing basic structures from mobile laser scanning data for road inventory studies. ISPRS Journal of Photogrammetry and Remote Sensing, Supplement Advances in LIDAR Data Processing and Applications, 2011, 66, S28–S39.
25. De Blasiis, M.R., Di Benedetto, A., Fiani, M., Mobile Laser Scanning Data for the Evaluation of Pavement Surface Distress, 2020, Remote Sensing, 12, 942.
26. Barbarella, M., D’Amico, F., De Blasiis, M.R., Di Benedetto, A., Fiani, M., Use of Terrestrial Laser Scanner for Rigid Airport Pavement Management, 2017, Sensors, 18, 44.
27. Colesanti C, Ferretti A, Prati C, Rocca, F., Monitoring landslides and tectonic motions with the Permanent Scatterers Technique, Eng Geol, 2003, 68(1–2):3–14,
28. Colombo D., Farina, P., Moretti, S., Nico, G., Prati, C., Land subsidence in the Firenze-Prato-Pistoia basin measured by means of spaceborne SAR interferometry. In: IGARSS 2003. 2003 IEEE international geoscience and remote sensing symposium. Proceedings (IEEE Cat. No. 03CH37477), vol 7(C), pp 2927–2929, 2003
29. Frattini P, Crosta GB, Allievi J., Damage to buildings in large slope rock instabilities monitored with the PSinSAR™ technique, 2013, Remote Sensing, 5(10), 4753–4773.
30. Yu, B., Liu, G., Zhang, R. et al. Monitoring subsidence rates along road network by persistent scatterer SAR interferometry with high-resolution TerraSAR-X imagery. J. Mod. Transport., 2013, 21, 236–246 ().
31. Perissin D., Wang Z., & Lin H., Shanghai subway tunnels and highways monitoring through Cosmo-SkyMed Persistent Scatterers. ISPRS Journal of Photogrammetry and Remote Sensing, 2012, 73, 58–67.
32. Fárová, K., Jelének, J., Kopačková-Strnadová, V., Kycl, P. Comparing DInSAR and PSI Techniques Employed to Sentinel-1 Data to Monitor Highway Stability: A Case Study of a Massive Dobkovičky Landslide, Czech Republic. Remote Sensing. 2019, 11, 2670.
33. Milillo P., Giardina G., Perissin D., Milillo G., Coletta A., Terranova C. Pre-collapse space geodetic observations of critical infrastructure:the Morandi Bridge, Genoa, Italy. Remote Sensing, 2019;11(12):1403.
34. D’Amico F., Gagliardi V., Bianchini Ciampoli L., Tosti F., Integration of InSAR and GPR Techniques for Monitoring Transition Areas in Railway Bridges. NDT&E International, 2020, In press.
35. Alani A. M., Tosti F., Bianchini Ciampoli L., Gagliardi V., Benedetto A., Integration of GPR and InSAR methods for the health monitoring of masonry arch bridges. NDT&E International. 2020, In press.
36. Jung J., Kim D-J, Palanisamy Vadivel SK, Yun S-H. Long-term deflection monitoring for bridges using X and C-band time-series SAR interferometry. Remote Sens 2019;11(11), 1258. 715.
37. Bianchini Ciampoli L., Gagliardi V., Calvi A., D’Amico F., Tosti F., Automatic network-level bridge monitoring by integration of InSAR and GIS catalogues. Proceedings of SPIE - The International Society for Optical Engineering, 2019
38. Roccheggiani, M.; Piacentini, D.; Tirincanti, E.; Perissin, D.; Menichetti, M. Detection and Monitoring of Tunneling Induced Ground Movements Using Sentinel-1 SAR Interferometry. Remote Sens. 2019, 11, 639.
39. Barla G. et al., InSAR monitoring of tunnel induced ground movements. Geomechanik und Tunnelbau, 2016, 9(1):15–22.
40. Yang Z., Schmid F., Roberts C., Assessment of railway performance by monitoring land subsidence. In: 6th IET conference on railway condition monitoring (RCM 2014), pp 1–6., 2014.
41. Chang L, Dollevoet RPBJ, Hanssen RF, Nationwide railway monitoring using satellite SAR interferometry. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10, 596–604.
42. Qin X., Liao M., Zhang L., & Yang M., Structural Health and Stability Assessment of High-Speed Railways via Thermal Dilation Mapping with Time-Series InSAR Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(6), 2999–3010.
43. Tosti F., Gagliardi V., D'Amico F., Alani A.M., Transport infrastructure monitoring by data fusion of GPR and SAR imagery information. Transp Res Proc; 2020, 45:771-778.
44. Jiang L., & Lin H., Integrated analysis of SAR interferometric and geological data for investigating long-term reclamation settlement of Chek Lap Kok Airport, Hong Kong. Engineering Geology, 2010, 110(3-4), 77–92.
45. Gao M., Gong H., Chen B., Zhou C., Chen W., Liang Y., Shi M., Si Y. InSAR time-series investigation of long-term ground displacement at Beijing Capital International Airport, China. Tectonophysics, 2016, 691, 271–281.
46. Jiang, Y.; Liao, M.; Wang, H.; Zhang, L.; Balz, T. Deformation Monitoring and Analysis of the Geological Environment of Pudong International Airport with Persistent Scatterer SAR Interferometry. Remote Sens. 2016, 8, 1021.
47. Sarmap. SARscape technical description. http://www.sarmap.ch/pdf/SAR scapeTechnical.pdf/. [Accessed 22 July 2020].
48. Sarmap. SAR-guidebook. http://www.sarmap.ch/pdf/SAR-Guidebook.pdf. [Accessed 22 July 2020]
49. NASA. The Shuttle Radar Topography Mission (SRTM) collection user guide. https://lpdaac.usgs.gov/documents/179/SRTM_User_Guide_V3.pdf; 2015. accessed 11 February 2020.
50. Rodriguez E, Morris CS, Belz JE, Chapin EC, Martin JM, Daffer W, Hensley S. An assessment of the SRTM topographic products. Pasadena, California: Jet Propulsion Laboratory; 2005. p. 143. Technical Report JPL D-31639.
51. Giraldo R., Delicado P., & Mateu J., Ordinary kriging for functionvalued spatial data. Environ Ecol Stat, 2011, 18, 411–426.
52. Papritz A., Stein A. Spatial prediction by linear kriging. In: Stein A., Van der Meer F., Gorte B. (eds) Spatial Statistics for Remote Sensing. Remote Sensing and Digital Image Processing, 1999, vol 1. Springer, Dordrecht.
53. Doin, M.‐P., C. Lasserre, G. Peltzer, O. Cavalié, and C. Doubre, Corrections of stratified tropospheric delays in SAR interferometry: Validation with global atmospheric models, J. Appl. Geophys., 2009, 69(1), 35– 50
54. Fattahi H. and Amelung F. InSAR bias and uncertainty due to the systematic and stochastic tropospheric delay, JGR Solid Earth, 2015, 10(12), 8758-8773.

Tools

CORE (COnnecting REpositories)

The University of West London

Displacement monitoring in airport runways by persistent scatterers SAR interferometry

Abstract

Downloads

Actions (login required)

Menu