Benedetto, Andrea, Canestrari, Francesco, Gagliardi, Valerio, Temtime Tessema, Tesfaye ORCID: https://orcid.org/0000-0001-6577-446X, Sanvitale, Giorgia, Ciampoli, Luca Bianchini and Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937 (2026) Evaluating asphalt pavement surface temperatures using thermal satellite remote sensing. In: 12th BCRRA ( Bearing Capacity of Roads, Railways and Airfields), 22-24 Jun 2026, Ljubljana, Slovenia.

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Abstract

The rapid ageing of asphalt pavement surfaces due to prolonged exposure to intense thermal stresses adversely affects road performance, leading to reduced safety, lower comfort, and higher maintenance costs. Traditionally, the thermal behaviour of asphalt mixtures is investigated under controlled laboratory conditions through thermal cycling to assess performance and predict service life. Although these procedures are efficient and widely adopted, their predictive reliability diminishes under real-world conditions, primarily due to material heterogeneity and non-uniform surface temperature distributions. These challenges are intensified by climate change and the growing impact of urban heat island effects, particularly in heavily urbanised and paved environments. Satellite-based remote sensing platforms equipped with passive sensors provide historical datasets that enable long-term monitoring of land surface temperature at large scales. Multispectral imagery acquired from Landsat-8 Thermal Infrared Sensors (TIRS) and Sentinel-2 Multi-Spectral Instruments (MSI) have proven viable for analysing climate-induced changes in built and natural environments. However, for pavement-scale applications, the spatial resolution of thermal and multispectral imagery, typically ranging from 100 m to 30 m, represents a major limitation. This study proposes an innovative paradigm for high-resolution, large-scale thermal mapping of road pavements based on satellite-derived thermal anomalies. A case study at a toll highway station in the Marche Region, Italy, demonstrates the capability of the proposed methodology to accurately identify pavement surface temperature patterns.

Item Type:	Conference or Workshop Item (Paper)
ISSN:	2352-1465
Page Range:	pp. 1176-1182
Identifier:	10.1016/j.trpro.2026.07.166
Keywords:	pavement surface temperature ; remote sensing monitoring ; asphalt ageing ; thermal satellite imageries
Subjects:	Construction and engineering > Digital signal processing > Remote sensing Construction and engineering > Civil and structural engineering
Related URLs:	https://bcrra.si/
Date Deposited:	30 Oct 2026
Dates:	Date Publication status 25 August 2026 Published Online
School, department or research centre:	School of Computing and Engineering
Keywords:	pavement surface temperature ; remote sensing monitoring ; asphalt ageing ; thermal satellite imageries
URI:	https://repository.uwl.ac.uk/id/eprint/15726

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