Special Issue "Fusion of InSAR Data and other Sources for Infrastructure Monitoring"

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

Deadline for manuscript submissions: 31 March 2020.

Special Issue Editor

Dr. Alberto Refice
E-Mail Website
Guest Editor
Consiglio Nazionale delle Ricerche - Istituto per il Rilevamento Elettromagnetico dell’Ambiente (CNR – IREA), Via Amendola 1227D, 70125 Bari, Italy
Interests: remote sensing data processing applied to environmental monitoring; synthetic aperture radar interferometry; persistent scatterer interferometry; flood monitoring; geomorphological terrain analysis
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Special Issue Information

Dear Colleagues,

Synthetic Aperture Radar Interferometry is now an operational technology for the monitoring of millimetric displacements of the Earth surface over time scales of decades. Limits imposed by the requirement of coherence between the SAR images used to form interferograms can be partly relaxed by restricting the attention to terrain targets which remain stable for long time periods, and/or by using small temporal and spatial baseline interferograms, with recent developments going in the direction of blending together these approaches, exploiting the full data covariance.

Multi-temporal InSAR (MTI) techniques are therefore perfectly suited to the monitoring of infrastructures such as roads, railways, pipelines, power networks, dams, etc.

Nevertheless, MTI's high sensitivity is limited to scalar components of the total displacements of stable targets on the terrain surface. Moreover, measurement precision is affected by the presence of both vertical and lateral atmospheric inhomogeneities. Although several methods are available to reduce or bypass these shortcomings, the integration with independent data sources is considered to be very useful, if not indispensable, to obtain reliable information.

The huge and increasing quantity of high temporal and spatial resolution SAR remote sensing data, including the European Copernicus Sentinel-1 constellation, and the ongoing and forthcoming several national missions such as TerraSAR-X/-L, COSMO-SkyMed / CSK 2nd generation, ALOS 2, SAOCOM, etc., calls for a more systemic and capillary integration of multi-source remotely sensed information with other information sources, aimed at gaining a more objective and precise knowledge of the situation on the ground. This is especially true in the case of environmental hazard posed to infrastructures, where the need to fruitfully exploit the synoptic information coming from space sensors towards remedial and protection actions led by local authorities is more pressing.

This special issue welcomes significant contributions on topics such as the following:

  • new MTI/InSAR processing techniques aimed at expanding sensitivity to small displacements, such as multi-track /multi-sensor integration, atmospheric effects estimation and removal, expansion of the class of detected targets (distributed, partially or temporally-limited coherent targets);
  • new methods of classification /characterization of nonlinear, complex terrain displacements based on the availability of long MTI time series measurements;
  • integration of MTI data with other remote sensing displacement monitoring techniques such as GPS, speckle tracking, etc.;
  • integration with ground displacement monitoring devices such as inclinometers, laser sensors, and other surface or subsurface sensors;
  • experiences of integrated monitoring of infrastructures on various spatial and temporal time scales.

Dr. Alberto Refice
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 papers will be 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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Keywords

  • Synthetic Aperture Radar Multi-Temporal Interferometry (SAR-MTI)
  • InSAR infrastructure monitoring
  • InSAR / GPS/ ground sensor integration
  • InSAR atmospheric effects estimation/reduction
  • MTI Time series classification

Published Papers (2 papers)

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Research

Open AccessArticle
Extended D-TomoSAR Displacement Monitoring for Nanjing (China) City Built Structure Using High-Resolution TerraSAR/TanDEM-X and Cosmo SkyMed SAR Data
Remote Sens. 2019, 11(22), 2623; https://doi.org/10.3390/rs11222623 - 09 Nov 2019
Abstract
The availability of high-resolution spaceborne synthetic aperture radar (SAR) data coupled with the ongoing refinement of tomographic SAR (TomoSAR) technology has made use of radar data feasible for preventive monitoring and assessment of built structures. In this study, we first applied extended differential [...] Read more.
The availability of high-resolution spaceborne synthetic aperture radar (SAR) data coupled with the ongoing refinement of tomographic SAR (TomoSAR) technology has made use of radar data feasible for preventive monitoring and assessment of built structures. In this study, we first applied extended differential TomoSAR (D-TomoSAR) to a set of 26 scenes of TerraSAR/TanDEM-X (TSX/TDX) (2013–2015) and 32 scenes of Cosmo-SkyMed (CSK) (2015–2017) images to estimate motions of skyscrapers, bridges and historical monuments in Nanjing City, China. The calculation and isolation of unknown parameters in the D-TomoSAR model, including linear velocity, thermal dynamics and structural heights, helped to estimate millimetric statistics of motion time series. Then, aforementioned two SAR datasets were tentatively tested using amplitude dispersion and phase stability indicators, highlighting the performance and sensitivity of X-band SAR in structural displacement monitoring. Experimental results demonstrated that motion indexes, e.g., heterogeneities of thermal amplitudes and spatiotemporal displacements, were useful to evaluate the conditions of built structures being monitored, in particular when their structural topology were visible owing to the enhanced density of persistent scatterer (PS) measurements. This study implies the value of high-resolution D-TomoSAR tools in the preventive monitoring and health diagnosis of built structures elsewhere over the world. Full article
(This article belongs to the Special Issue Fusion of InSAR Data and other Sources for Infrastructure Monitoring)
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Open AccessArticle
Multi-Source Data Integration to Investigate a Deep-Seated Landslide Affecting a Bridge
Remote Sens. 2019, 11(16), 1878; https://doi.org/10.3390/rs11161878 - 12 Aug 2019
Abstract
The integration of data from different sources can be very helpful in understanding the mechanism, the geometry, the kinematic, and the area affected by complex instabilities, especially when the available geotechnical information is limited. In this work, the suitability of different techniques for [...] Read more.
The integration of data from different sources can be very helpful in understanding the mechanism, the geometry, the kinematic, and the area affected by complex instabilities, especially when the available geotechnical information is limited. In this work, the suitability of different techniques for the study of a deep-seated landslide affecting a bridge in Alcoy (Spain) is evaluated. This infrastructure presents such severe damage that has rendered the bridge unusable, which prevents normal access to an important industrial area. Differential SAR Interferometry (DInSAR) and terrestrial Light Detection and Ranging (LiDAR) remote sensing techniques have been combined with ground displacement monitoring techniques, such as inclinometers and conventional geological and geotechnical investigation, electrical-seismic tomography, damage, and topographic surveys, to determine the boundaries, mechanism, and kinematics of the landslide. The successful case study that is illustrated in this work highlights the potential and the need for integrating multi-source data for the optimal management of complex landslides and the effective design of remedial measurements. Full article
(This article belongs to the Special Issue Fusion of InSAR Data and other Sources for Infrastructure Monitoring)
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