Signal processing for tree-trunk investigation using ground penetrating radar

Iraklis Giannakis; Fabio Tosti; Livia Lantini; Daniel Egyir; Amir M. Alani

doi:10.3997/2214-4609.201902601

Signal processing for tree-trunk investigation using ground penetrating radar

Iraklis Giannakis
, Fabio Tosti
, Livia Lantini
, Daniel Egyir
, Amir M. Alani

Faculty of Engineering, Computing & the Environment

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Published in: Proceedings of the 10th International Workshop on Advanced Ground Penetrating Radar (2019) : European Association of Geoscientists and Engineers (EAGE). pp. 208-2013. ISBN 9781713811916 Organising Body: European Association of Geoscientists and Engineers (EAGE) Organising Body: European Association of Geoscientists and Engineers (EAGE)
DOIs	https://doi.org/10.3997/2214-4609.201902601
Publication status	Published - 11 Sept 2019

Bibliographical note

Note: Published in: Proceedings of the 10th International Workshop on Advanced Ground Penetrating Radar (2019) : European Association of Geoscientists and Engineers (EAGE). pp. 208-2013. ISBN 9781713811916

Organising Body: European Association of Geoscientists and Engineers (EAGE)

Organising Body: European Association of Geoscientists and Engineers (EAGE)

Keywords

Ash dieback
acute oak decline
AOD
forestry
ground penetrating radar (GPR)
signal processing
tree
Electrical and electronic engineering

Access to Document

10.3997/2214-4609.201902601

https://doi.org/10.3997/2214-4609.201902601

1 Paper

Signal processing for tree-trunk investigation using ground penetrating radar
Giannakis, I., Tosti, F., Lantini, L., Egyir, D. & Alani, A. M., 11 Sept 2019.
Research output: Contribution to conference › Paper › peer-review

Cite this

Giannakis, I., Tosti, F., Lantini, L., Egyir, D., & Alani, A. M. (2019). Signal processing for tree-trunk investigation using ground penetrating radar. In Published in: Proceedings of the 10th International Workshop on Advanced Ground Penetrating Radar (2019) : European Association of Geoscientists and Engineers (EAGE). pp. 208-2013. ISBN 9781713811916 Organising Body: European Association of Geoscientists and Engineers (EAGE) Organising Body: European Association of Geoscientists and Engineers (EAGE) https://doi.org/10.3997/2214-4609.201902601

Giannakis, Iraklis ; Tosti, Fabio ; Lantini, Livia et al. / Signal processing for tree-trunk investigation using ground penetrating radar. Published in: Proceedings of the 10th International Workshop on Advanced Ground Penetrating Radar (2019) : European Association of Geoscientists and Engineers (EAGE). pp. 208-2013. ISBN 9781713811916 Organising Body: European Association of Geoscientists and Engineers (EAGE) Organising Body: European Association of Geoscientists and Engineers (EAGE). 2019.

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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.",

keywords = "Ash dieback, acute oak decline, AOD, forestry, ground penetrating radar (GPR), signal processing, tree, Electrical and electronic engineering",

author = "Iraklis Giannakis and Fabio Tosti and Livia Lantini and Daniel Egyir and Alani, \{Amir M.\}",

note = "Note: Published in: Proceedings of the 10th International Workshop on Advanced Ground Penetrating Radar (2019) : European Association of Geoscientists and Engineers (EAGE). pp. 208-2013. ISBN 9781713811916 Organising Body: European Association of Geoscientists and Engineers (EAGE) Organising Body: European Association of Geoscientists and Engineers (EAGE)",

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Giannakis, I, Tosti, F, Lantini, L, Egyir, D & Alani, AM 2019, Signal processing for tree-trunk investigation using ground penetrating radar. in Published in: Proceedings of the 10th International Workshop on Advanced Ground Penetrating Radar (2019) : European Association of Geoscientists and Engineers (EAGE). pp. 208-2013. ISBN 9781713811916 Organising Body: European Association of Geoscientists and Engineers (EAGE) Organising Body: European Association of Geoscientists and Engineers (EAGE). https://doi.org/10.3997/2214-4609.201902601

Signal processing for tree-trunk investigation using ground penetrating radar. / Giannakis, Iraklis; Tosti, Fabio; Lantini, Livia et al.
Published in: Proceedings of the 10th International Workshop on Advanced Ground Penetrating Radar (2019) : European Association of Geoscientists and Engineers (EAGE). pp. 208-2013. ISBN 9781713811916 Organising Body: European Association of Geoscientists and Engineers (EAGE) Organising Body: European Association of Geoscientists and Engineers (EAGE). 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Signal processing for tree-trunk investigation using ground penetrating radar

AU - Giannakis, Iraklis

AU - Tosti, Fabio

AU - Lantini, Livia

AU - Egyir, Daniel

AU - Alani, Amir M.

N1 - Note: Published in: Proceedings of the 10th International Workshop on Advanced Ground Penetrating Radar (2019) : European Association of Geoscientists and Engineers (EAGE). pp. 208-2013. ISBN 9781713811916 Organising Body: European Association of Geoscientists and Engineers (EAGE) Organising Body: European Association of Geoscientists and Engineers (EAGE)

PY - 2019/9/11

Y1 - 2019/9/11

N2 - 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.

AB - 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.

KW - Ash dieback

KW - acute oak decline

KW - AOD

KW - forestry

KW - ground penetrating radar (GPR)

KW - signal processing

KW - tree

KW - Electrical and electronic engineering

U2 - 10.3997/2214-4609.201902601

DO - 10.3997/2214-4609.201902601

M3 - Conference contribution

BT - Published in: Proceedings of the 10th International Workshop on Advanced Ground Penetrating Radar (2019) : European Association of Geoscientists and Engineers (EAGE). pp. 208-2013. ISBN 9781713811916 Organising Body: European Association of Geoscientists and Engineers (EAGE) Organising Body: European Association of Geoscientists and Engineers (EAGE)

ER -

Giannakis I, Tosti F, Lantini L, Egyir D, Alani AM. Signal processing for tree-trunk investigation using ground penetrating radar. In Published in: Proceedings of the 10th International Workshop on Advanced Ground Penetrating Radar (2019) : European Association of Geoscientists and Engineers (EAGE). pp. 208-2013. ISBN 9781713811916 Organising Body: European Association of Geoscientists and Engineers (EAGE) Organising Body: European Association of Geoscientists and Engineers (EAGE). 2019 doi: 10.3997/2214-4609.201902601

Signal processing for tree-trunk investigation using ground penetrating radar

Abstract

Bibliographical note

Keywords

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Research output

Signal processing for tree-trunk investigation using ground penetrating radar

Cite this