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Remote Sensing
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Infrastructure Monitoring Using Synthetic Aperture Radar
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Infrastructure Monitoring Using Synthetic Aperture Radar

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".

Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 15749

Special Issue Editors

Prof. Dr. Diego Di Martire

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Guest Editor
Department of Earth Sciences, Environment and Resources, University of Naples Federico II, 80126 Napoli, Italy
Interests: Landslides, hazard and risk assessment; interferometry SAR; GIS
Special Issues, Collections and Topics in MDPI journals
Dr. Pietro Milillo

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Guest Editor
Department of Earth System Science, University of California, Irvine, CA, USA
Interests: structural health monitoring; remote sensing; DInSAR; vulnerability
Dr. Luigi Guerriero

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Guest Editor
Department of Earth Sciences, Environment and Resources, University of Naples Federico II, Via Cintia 21, University Campus of Monte S. Angelo, Bldg 10, 80126 Napoli, Italy
Interests: landslides; floods; sinkholes; remote sensing; sensors; terrestrial laser scanning
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Silvia Liberata Ullo

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Guest Editor
Department of Engineering (DING), University of Sannio, Benevento, Italy
Interests: remote sensing; data analysis; elaboration of satellite data for earth observation; machine learning applied to satellite images; sensor networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The infrastructure network (roads, highways, and railways) represents a connection system of noteworthy importance for the social and economic life of the whole country. Transportation infrastructure plays a significant role in the success of every nation’s economy. Maintaining a reliable and durable infrastructure is essential for economic growth and social development. As an example, the occurrence of geological events such as landslides and sinkholes are one of the main causes of damage to linear infrastructures.

Structural damage characterizing roads, bridges, and railways can inhibit their optimal function and contribute to traffic accidents. The frequent and accurate monitoring of slope instability phenomena and their interaction with existing man-made infrastructures play a key role in risk prevention and mitigation activities.

Synthetic aperture radar (SAR) data characterized by short revisiting times (6-16 days) is an invaluable tool that can be used as a periodical non-invasive monitoring system. Such data also have a strong capability of being integrated with data from alternative remote sensing techniques (e.g., GNSS and UAV-based methods) and sensor-networks that can be suitable for landslide process understanding and early-warning plan development. Such monitoring systems can be used to provide an additional security layer and improve inspection efficiency, repair, and rehabilitation efforts. Such an approach, in addition to representing a relevant rate of the owner’s annual budget, is ineffective because of the long time-lapse between in situ data collection and information transfer to the operation center.

The necessity of an effective and quasi-real-time approach to monitoring these man-made infrastructures finds a valid response with a good cost/benefit ratio in the application of modern remote sensing techniques. Satellite and ground-based monitoring systems, sensor networks, and integrated techniques may offer a viable source of independent information products to support infrastructure health assessments. Manuscripts showing the contribution of these kinds of techniques to geologic risk management, as well as newly developed instrumentations, methods, techniques, and approaches, are welcome.

Dr. Diego Di Martire
Dr. Pietro Milillo
Dr. Luigi Guerriero
Dr. Silvia Ullo
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Published Papers (3 papers)

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Research

20 pages, 54786 KiB  
Article
Landslide Awareness System (LAwS) to Increase the Resilience and Safety of Transport Infrastructure: The Case Study of Pan-American Highway (Cuenca–Ecuador)
by Pietro Miele, Mariano Di Napoli, Luigi Guerriero, Massimo Ramondini, Chester Sellers, Mariagiulia Annibali Corona and Diego Di Martire
Remote Sens. 2021, 13(8), 1564; https://doi.org/10.3390/rs13081564 - 17 Apr 2021
Cited by 28 | Viewed by 4510
Abstract
In most countries, landslides have caused severe socioeconomic impacts on people, cities, industrial establishments, and lifelines, such as highways, railways, and communication network systems. Socioeconomic losses due to slope failures are very high and they have been growing as the built environment expands [...] Read more.
In most countries, landslides have caused severe socioeconomic impacts on people, cities, industrial establishments, and lifelines, such as highways, railways, and communication network systems. Socioeconomic losses due to slope failures are very high and they have been growing as the built environment expands into unstable hillside areas under the pressures of growing populations. Human activities as the construction of buildings, transportation routes, dams, and artificial canals have often been a major factor for the increasing damage due to slope failures. When recovery actions are not durable from an economic point of view, increasing the population’s awareness is the key strategy to reduce the effects of natural and anthropogenic events. Starting from the case study of the Pan-American Highway (the Ecuadorian part), this article shows a multi-approach strategy for infrastructure monitoring. The combined use of (i) DInSAR technique for detection of slow ground deformations, (ii) field survey activities, and (iii) the QPROTO tool for analysis of slopes potentially prone to collapse allowed us to obtain a first cognitive map to better characterize 22 km of the highway between the cities of Cuenca and Azogues. This study is the primary step in the development of a landslide awareness perspective to manage risk related to landslides along infrastructure corridors, increasing user safety and providing stakeholders with a management system to plan the most urgent interventions and to ensure the correct functionality of the infrastructure. Full article
(This article belongs to the Special Issue Infrastructure Monitoring Using Synthetic Aperture Radar)
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18 pages, 82623 KiB  
Article
Time-Series Analysis on Persistent Scatter-Interferometric Synthetic Aperture Radar (PS-InSAR) Derived Displacements of the Hong Kong–Zhuhai–Macao Bridge (HZMB) from Sentinel-1A Observations
by Siting Xiong, Chisheng Wang, Xiaoqiong Qin, Bochen Zhang and Qingquan Li
Remote Sens. 2021, 13(4), 546; https://doi.org/10.3390/rs13040546 - 3 Feb 2021
Cited by 41 | Viewed by 6040
Abstract
The synthetic aperture radar interferometry (InSAR) technique has been applied in monitoring the deformation of infrastructures, such as bridges, highways, railways and subways. Persistent scatterer (PS)-InSAR is one of the InSAR techniques, which utilises persistent scatterers to derive long-term displacements. This study applied [...] Read more.
The synthetic aperture radar interferometry (InSAR) technique has been applied in monitoring the deformation of infrastructures, such as bridges, highways, railways and subways. Persistent scatterer (PS)-InSAR is one of the InSAR techniques, which utilises persistent scatterers to derive long-term displacements. This study applied time-series methods to post-process the PS-InSAR-derived time-series displacements with the use of 86 Sentinel-1A acquisitions spanning from 6 January 2018 to 27 November 2020. Empirical mode decomposition (EMD) and seasonal and trend decomposition using loess (STL) were combined to estimate the seasonal component of the total time-series displacements. Then, a temperature correlation map was generated by correlating the seasonal component with the temperature variation. Results show that the thermal expansion phenomenon is pronounced on the buildings of the Zhuhai–Macao Passenger Terminal as well as the bridge and road connecting to the Hong Kong International Airport (HKIA), while it is less obviously observed at the main Hong Kong-Zhuhai-Macao Bridge (HZMB). In addition, sudden changes between subsidence and uplift can be detected through the p-values derived by applying the augmented Dickey-Fuller (ADF) test to the residual signals after removing the linear and seasonal components from the original ones. Full article
(This article belongs to the Special Issue Infrastructure Monitoring Using Synthetic Aperture Radar)
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19 pages, 9986 KiB  
Article
Ground-Based Radar Interferometry for Monitoring the Dynamic Performance of a Multitrack Steel Truss High-Speed Railway Bridge
by Qihuan Huang, Yian Wang, Guido Luzi, Michele Crosetto, Oriol Monserrat, Jianfeng Jiang, Hanwei Zhao and Youliang Ding
Remote Sens. 2020, 12(16), 2594; https://doi.org/10.3390/rs12162594 - 12 Aug 2020
Cited by 26 | Viewed by 3991
Abstract
With the continuous expansion of the high-speed railway network in China, long-span railway bridges carrying multiple tracks demand reliable and fast testing procedures and techniques. Bridge dynamic behavior analysis is a critical process in ensuring safe operation of structures. In this study, we [...] Read more.
With the continuous expansion of the high-speed railway network in China, long-span railway bridges carrying multiple tracks demand reliable and fast testing procedures and techniques. Bridge dynamic behavior analysis is a critical process in ensuring safe operation of structures. In this study, we present some experimental results of the vibration monitoring of a four-track high-speed railway bridge with a metro–track on each side: the Nanjing–Dashengguan high-speed railway bridge (NDHRB). The results were obtained using a terrestrial microwave radar interferometer named IBIS-S. The radar measurements were interpreted with the support of lidar point clouds. The results of the bridge dynamic response under different loading conditions, including high-speed trains, metro and wind were compared with the existing bridge structure health monitoring (SHM) system, underlining the high spatial (0.5 m) and temporal resolutions (50 Hz–200 Hz) of this technique for railway bridge dynamic monitoring. The detailed results can help engineers capturing the maximum train-induced bridge displacement. The bridge was also monitored by the radar from a lateral position with respect to the bridge longitudinal direction. This allowed us to have a more exhaustive description of the bridge dynamic behavior. The different effects induced by the passage of trains through different tracks and directions were distinguished. In addition, the space deformation map of the wide bridge deck under the eccentric load of trains, especially along the lateral direction (30 m), can help evaluating the running stability of high-speed trains. Full article
(This article belongs to the Special Issue Infrastructure Monitoring Using Synthetic Aperture Radar)
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