Mapping the root system of matured trees using ground penetrating radar

Alani, Amir, Bianchini Ciampoli, Luca, Lantini, Livia, Tosti, Fabio ORCID: 0000-0003-0291-9937 and Benedetto, Andrea (2018) Mapping the root system of matured trees using ground penetrating radar. In: 17th International Conference on Ground Penetrating Radar, 18-21 Jun 2018, Rapperswil, Switzerland. (In Press)

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Abstract

This study reports a demonstration of the ground penetrating radar (GPR) potential in health monitoring of tree roots. The main aim of the research was to provide effective and high-resolution mapping of tree root systems. To this purpose, a dedicated data processing methodology, based on two main chronological stages, was developed. First, an algorithm was proposed to filter out the data from noise-related information and to enhance deep reflections from attenuated targets. At a later stage, a multi-step algorithm connecting the identified targets (i.e. the vertices of the reflection hyperbolas) in a three-dimensional environment was created. To demonstrate the viability of the proposed methodology, the soils around two different tree species (i.e. fir and oak trees) were investigated using a ground-coupled multi-frequency GPR system equipped with 600 MHz and 1600 MHz central frequency antennas. The method has allowed to identify distinctive features in terms of shallow (i.e. within the first 25 cm from the soil surface) and deep (i.e. lower than 25 cm from the soil surface) tree root systems for different species of trees.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: tree health monitoring; ground penetrating radar (GPR); tree root system; data processing methodology
Subjects: Construction and engineering > Civil and environmental engineering
Construction and engineering > Digital signal processing
Construction and engineering > Electrical and electronic engineering
Construction and engineering > Civil and structural engineering
Construction and engineering
Related URLs:
Depositing User: Fabio Tosti
Date Deposited: 01 May 2018 14:07
Last Modified: 01 May 2018 14:53
URI: http://repository.uwl.ac.uk/id/eprint/4897

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