Signal processing for tree-trunk investigation using ground penetrating radar

Giannakis, Iraklis, Tosti, Fabio ORCID:, Lantini, Livia ORCID:, Egyir, Daniel and Alani, Amir (2019) Signal processing for tree-trunk investigation using ground penetrating radar. In: International Workshop on Advanced Ground Penetrating Radar (IWAGPR), 8-12 September 2019, The Hague, Netherlands.

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Invasive fungi diseases are considered one the biggest threats for the ash and oak forests in United Kingdom. To that extend, Ground Penetrating Radar (GPR) can provide a powerful diagnostic tool for assessing the health status of tree trunks based on their internal dielectric distribution. GPR acquisitions in tree-trunks is a unique problem that can not be approached with traditional GPR processing approaches. Typical interpretation tools like hyperbola fitting and migration should be adjusted and fine-tuned in order to be applicable for irregular measurements in a closed curve. The purpose of this paper is to provide GPR practitioners with a set of interpretation tools that can be applied in the field using commercial GPR antennas. In that context, a novel processing framework is presented that is fine-tuned for the current problem. The suggested scheme is successfully tested using both numerical and real data indicating the capabilities of GPR as a diagnostic tool for early detection of tree diseases.

Item Type: Conference or Workshop Item (Speech)
Identifier: 10.3997/2214-4609.201902601
Identifier: 10.3997/2214-4609.201902601
Keywords: Ash dieback, acute oak decline, AOD, forestry, ground penetrating radar (GPR), signal processing, tree
Subjects: Construction and engineering > Electrical and electronic engineering
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Depositing User: Iraklis Giannakis
Date Deposited: 26 Sep 2019 13:48
Last Modified: 28 Aug 2021 07:27

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