A reflectivity-based GPR signal processing methodology for mapping tree root systems of street trees

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Lantini, Livia ORCID: https://orcid.org/0000-0002-0416-1077, Giannakis, Iraklis, Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937, Mortimer, Dale and Alani, Amir (2020) A reflectivity-based GPR signal processing methodology for mapping tree root systems of street trees. In: 2020 43rd International Conference on Telecommunications and Signal Processing (TSP), 07-09 July 2020, Milan, Italy.

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Official URL: https://doi.org/10.1109/tsp49548.2020.9163517

Abstract

Street trees are broadly acknowledged to be an essential asset of cities. Nonetheless, the growth of tree roots can lead to critical damage, such as the uplifting or cracking of road pavements and curbs, with severe implications on the infrastructure’s safety. For this reason, the assessment and control of tree root systems’ development have become crucial task in forestry and urban management. Within this framework, Ground Penetrating Radar (GPR) is widely recognised as an effective non-destructive testing (NDT) method for the monitoring and assessment of road infrastructures. This study aims to demonstrate the capability of GPR in mapping the root system’s architecture of street trees. To this end, a GPR system equipped with a 700 MHz central frequency antenna was employed to investigate the area around a street tree, located in the vicinity of a flexible pavement structure. A novel processing framework based on the analysis of the signal reflectivity was implemented, in order to automatically identify the reflections from the pavement layers and apply dedicated advanced signal processing techniques. A multistage data processing methodology was employed to map the tree root system architecture. Finally, information on the mass density of roots at different depths was also provided. Results have proven the potential of the proposed methodology to achieve an automatic detection and mapping of roots under road pavements.

Item Type:	Conference or Workshop Item (Paper)
ISBN:	9781728163772
Identifier:	10.1109/tsp49548.2020.9163517
Page Range:	pp. 449-452
Identifier:	10.1109/tsp49548.2020.9163517
Additional Information:	L. Lantini, I. Giannakis, F. Tosti, D. Mortimer and A. M. Alani, "A Reflectivity-Based GPR Signal Processing Methodology for Mapping Tree Root Systems of Street Trees," 2020 43rd International Conference on Telecommunications and Signal Processing (TSP), Milan, Italy, 2020, pp. 449-452, doi: 10.1109/TSP49548.2020.9163517.
Keywords:	Ground Penetrating Radar (GPR), pavement damage, road safety, street trees, tree root mapping, tree root mass density
Subjects:	Construction and engineering > Civil and environmental engineering Construction and engineering > Electrical and electronic engineering Construction and engineering > Built environment Construction and engineering
Related URLs:	Organisation Publisher Publisher
Depositing User:	Livia Lantini
Date Deposited:	01 Jun 2020 16:51
Last Modified:	04 Nov 2024 12:48
URI:	https://repository.uwl.ac.uk/id/eprint/7004

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A reflectivity-based GPR signal processing methodology for mapping tree root systems of street trees

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