Assessing the root system of urban trees by geostatistical analysis of GPR data

Lantini, Livia ORCID:, Trevisani, Sebastiano, Tosti, Fabio ORCID: and Alani, Amir (2022) Assessing the root system of urban trees by geostatistical analysis of GPR data. In: SPIE Sensors + Imaging, 5-7 Sep 2022, Berlin, Germany.

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The monitoring and preservation of natural resources are vital in present times. With regards to urban trees, their benefits to the environment and the community are widely recognised. Nevertheless, the coexistence between street trees and the built environment is based on a delicate balance, as safeguarding the natural asset may conflict with the damaging mechanisms that tree roots cause to roads, building foundations and underground utilities.
Ground penetrating radar (GPR) is becoming popular as a reliable non-destructive testing (NDT) method for assessing and mapping tree roots. In street trees management, there is an increasing need for dedicated investigation methods, mainly related to accessibility constraints. Recent studies have investigated the feasibility of novel survey and processing methodologies for fast tree root evaluation based on time-frequency analysis of GPR data.
The purpose of this research is to present an analysis combining GPR with geostatistics, a branch of spatial statistics focused on the analyses and modelling of spatial data. The complex spatial patterns of tree roots represent a challenging spatial field to be investigated both from the geophysical as well as from the spatial statistical perspective. Two-dimensional GPR outputs from a real-life case study were analysed to assess the spatial correlation of radar data and evaluate the best interpolation approaches, allowing for more reliable detection and mapping of tree roots. The interpretation of the results confirmed the feasibility of the proposed approach, paving the way for novel and faster survey methodologies for urban trees.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only. Livia Lantini, Sebastiano Trevisani, Fabio Tosti, and Amir M. Alani "Assessing the root system of urban trees by geostatistical analysis of GPR data", Proc. SPIE 12268, Earth Resources and Environmental Remote Sensing/GIS Applications XIII, 122680D (26 October 2022);
Keywords: Analytical research, Statistical analysis, Data modeling, Ground penetrating radar, Nondestructive evaluation, Radar, Roads, Signal processing, Tomography
Subjects: Construction and engineering > Civil and environmental engineering
Construction and engineering > Electrical and electronic engineering
Construction and engineering
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Depositing User: Livia Lantini
Date Deposited: 25 Jul 2022 13:02
Last Modified: 20 Dec 2022 10:00


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