Presentation + Paper
19 October 2023 InSAR for dielectric constant estimation of pavements: a feasibility study
Author Affiliations +
Abstract
Transport infrastructure health monitoring is fundamental to assure the road's integrity and the user's safety. Nowadays, pavement quality is conventionally assessed using different Non-Destructive Testing (NDT) methods. These methodologies are adequate but are limited in terms of spatial and temporal coverage. Depth estimation using InSAR data is not uncommon for application in arid areas, glaciers, and soil moisture studies. These areas are subject to substantial penetration at microwave frequencies. The methods assume the medium as a uniform volume with infinite depth and analyze the volume scattering of the radar wave. Determination of dielectric parameters of pavement layers and material inhomogeneities assessment is essential for pavement health monitoring. Here we examine the capability of InSAR data to estimate dielectric constant values in concrete pavements by interaction with the electromagnetic waves of radar satellite data. TerraSAR-X data are used to explore the dielectric constant estimation capabilities. The existing methods to invert for dielectric constant from the InSAR signal are applied to arid, ice-covered, and forested areas, but not pavements. This attempt will be the first of its kind to explore the large area coverage and with a frequent revisit of SAR satellites as a monitoring tool.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Tesfaye Tessema, Valerio Gagliardi, Luca Bianchini Ciampoli, and Fabio Tosti "InSAR for dielectric constant estimation of pavements: a feasibility study", Proc. SPIE 12734, Earth Resources and Environmental Remote Sensing/GIS Applications XIV, 127340P (19 October 2023); https://doi.org/10.1117/12.2684365
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KEYWORDS
Dielectrics

Interferometric synthetic aperture radar

Nondestructive evaluation

Synthetic aperture radar

Backscatter

Data modeling

Scattering

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