Use of Remote Sensing in Quality Assessment and Distress Identification in Flexible Pavements: A Systematic Review

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Published: 2025-12-05
DOI: https://doi.org/10.14393/rbcv77n0a-77751
Keywords:
Remote Sensing, LiDAR, Pavement Distress, Pavement

Main Article Content

Ezequiel Silva Rocha
National Institute for Space Research - INPE
https://orcid.org/0009-0002-3816-3908
Claudia Maria de Almeida
National Institute for Space Research - INPE
https://orcid.org/0000-0002-6523-3169
Milton Kampel
National Institute for Space Research - INPE
https://orcid.org/0000-0002-0011-2083
Paulo Roberto da Silva Ruiz
São Paulo State Technological Colleges
https://orcid.org/0000-0001-7885-5015

Abstract

Remote sensing has emerged as a promising tool for flexible pavement evaluation, complementing traditional inspection methods. This systematic review examines techniques such as LiDAR and multispectral imaging, highlighting their effectiveness in detecting surface deformations, cracks, and other distress types. Aerial platforms (UAVs) show superior performance for localized inspections, while vehicle-mounted LiDAR systems are better suited for continuous assessment of extensive road networks. Despite progress, challenges remain including the need for higher spatial resolution to identify micro-cracks, environmental interference, and high computational demands. Emerging solutions involving multi-sensor data fusion and artificial intelligence demonstrate potential to overcome these limitations, though methodological standardization and validation against technical standards remain critical for large-scale adoption. The study concludes that remote sensing already provides tangible benefits for road infrastructure management, with potential to transform pavement monitoring and maintenance practices.


Keywords: Remote sensing. Pavement. LiDAR. Pavement Distress.

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Vol. 77 (2025): Continuous Publication

Section

Remote Sensing
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Author Biographies

Ezequiel Silva Rocha, National Institute for Space Research - INPE

Ezequiel Silva Rocha holds a Bachelor's degree in Civil Engineering from the State University of Maranhão (UEMA) and a Technical degree in Building Construction from the Federal Institute of Maranhão (IFMA). He is currently a Master's student at the National Institute for Space Research (INPE), conducting research in the field of remote sensing, with a focus on applications related to the urban environment and infrastructure. He has experience in civil engineering projects, with an emphasis on pavement engineering, including work in asphalt mix design, pavement dimensioning, and aggregate characterization.

Claudia Maria de Almeida, National Institute for Space Research - INPE

Cláudia Maria de Almeida holds a Bachelor's degree in Architecture and Urbanism from the Faculty of Architecture and Urbanism - University of São Paulo (USP, 1989), a Master's degree in Infrastructure Planning from the Centre for Infrastructure Planning, University of Stuttgart, Germany (1995), a Sandwich Ph.D. in Remote Sensing from the Centre for Advanced Spatial Analysis - University College London, UK (2002), and a full Ph.D. in Remote Sensing from the National Institute for Space Research (INPE, 2003). She completed a Postdoctoral Fellowship in Spatial Dynamic Modeling at INPE (2004). Currently, she is a Senior Researcher III at INPE, where she coordinates the CITIES Laboratory. She is an Accredited Professor at Universidad Agraria La Molina (Peru). She has been a Faculty Member at the International Space University (ISU) and an Accredited Professor at UFPR, USP (POLI and FFLCH), UNESP-Rio Claro, and UFSM, as well as a Guest Professor in the Graduate Programs in Applied Computing and Earth System Science at INPE. She serves as the leader of the CNPq Lattes Research Group on Systems and Methods for Territorial Planning and Management.

Milton Kampel, National Institute for Space Research - INPE

Milton Kampel is an Oceanographer with a Ph.D. in Biological Oceanography (USP) and a postdoctoral fellowship at the Bedford Institute of Oceanography (Canada). He is a Senior Researcher at INPE, working in the Earth Observation Division and as a faculty member in the Graduate Program in Remote Sensing. He has expertise in remote sensing applied to oceanography and the environment, with a focus on topics such as water color, monitoring of marine and coastal ecosystems, primary productivity, phytoplankton, mangroves, coral reefs, and offshore wind energy. He has held leadership positions at INPE and has been actively involved in municipal councils and scientific associations. He was awarded the Honor of Cartographic Merit by the Brazilian Society of Cartography.

Paulo Roberto da Silva Ruiz, São Paulo State Technological Colleges

Paulo Roberto da Silva Ruiz holds a Ph.D. and a Master’s degree in Remote Sensing from the National Institute for Space Research (INPE); a degree in Database Technology from the São Paulo State Faculty of Technology (FATEC); and a Licentiate degree in Geography from São Paulo State University (UNESP). He is a Full-Time Professor and Researcher at FATEC Adamantina. He has experience in teaching, research, and outreach, as well as in corporate projects. His research areas include urban and agricultural remote sensing, spatial data science, geoprocessing, LiDAR, and photogrammetry.

How to Cite

ROCHA, Ezequiel Silva; ALMEIDA, Claudia Maria de; KAMPEL, Milton; RUIZ, Paulo Roberto da Silva. Use of Remote Sensing in Quality Assessment and Distress Identification in Flexible Pavements: A Systematic Review. Brazilian Journal of Cartography, [S. l.], v. 77, n. 0a, 2025. DOI: 10.14393/rbcv77n0a-77751. Disponível em: https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/77751. Acesso em: 13 mar. 2026.
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