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Open AccessArticle

The Use of Ground Penetrating Radar and Microwave Tomography for the Detection of Decay and Cavities in Tree Trunks

1
School of Computing and Engineering, University of West London (UWL), St Mary’s Road, Ealing, London W5 5RF, UK
2
Institute for Electromagnetic Sensing of the Environment (IREA-CNR), National Research Council, Via Diocleziano 328, 80124 Naples, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(18), 2073; https://doi.org/10.3390/rs11182073
Received: 19 July 2019 / Revised: 23 August 2019 / Accepted: 30 August 2019 / Published: 4 September 2019
(This article belongs to the Special Issue Real-Time Radar Imaging and Sensing)
Aggressive fungal and insect attacks have reached an alarming level, threatening a variety of tree species, such as ash and oak trees, in the United Kingdom and beyond. In this context, Ground Penetrating Radar (GPR) has proven to be an effective non-invasive tool, capable of generating information about the inner structure of tree trunks in terms of existence, location, and geometry of defects. Nevertheless, it had been observed that the currently available and known GPR-related processing and data interpretation methods and tools are able to provide only limited information regarding the existence of defects and anomalies within the tree inner structure. In this study, we present a microwave tomographic approach for improved GPR data processing with the aim of detecting and characterising the geometry of decay and cavities in trees. The microwave tomographic approach is able to pinpoint explicitly the position of the measurement points on the tree surface and thus to consider the actual geometry of the sections beyond the classical (circular) ones. The robustness of the microwave tomographic approach with respect to noise and data uncertainty is tackled by exploiting a regularised scheme in the inversion process based on the Truncated Singular Value Decomposition (TSVD). A demonstration of the potential of the microwave tomography approach is provided for both simulated data and measurements collected in controlled conditions. First, the performance analysis was carried out by processing simulated data achieved by means of a Finite-Difference Time-Domain (FDTD) in three scenarios characterised by different geometric trunk shapes, internal trunk configurations and target dimensions. Finally, the method was validated on a real trunk by proving the viability of the proposed approach in identifying the position of cavities and decay in tree trunks. View Full-Text
Keywords: tree health monitoring; tree trunk decay and cavity detection; ground penetrating radar (GPR); microwave tomography; Finite-Difference Time-Domain (FDTD) simulations tree health monitoring; tree trunk decay and cavity detection; ground penetrating radar (GPR); microwave tomography; Finite-Difference Time-Domain (FDTD) simulations
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MDPI and ACS Style

Alani, A.M.; Soldovieri, F.; Catapano, I.; Giannakis, I.; Gennarelli, G.; Lantini, L.; Ludeno, G.; Tosti, F. The Use of Ground Penetrating Radar and Microwave Tomography for the Detection of Decay and Cavities in Tree Trunks. Remote Sens. 2019, 11, 2073.

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