Giannakis, Iraklis, Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937, Lantini, Livia ORCID: https://orcid.org/0000-0002-0416-1077, 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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Abstract

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
Related URLs:	Organisation Publisher Organisation
Depositing User:	Iraklis Giannakis
Date Deposited:	26 Sep 2019 13:48
Last Modified:	04 Nov 2024 12:32
URI:	https://repository.uwl.ac.uk/id/eprint/6415

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