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.

Giannakis, I., Tosti, F., Lantini, L., Egyir, D., Alani, A.M. (2019). Signal processing for tree-trunk investigation using ground penetrating radar. In 10th International Workshop on Advanced Ground Penetrating Radar, Held at Near Surface Geoscience Conference and Exhibition 2019, NSG 2019.

Signal processing for tree-trunk investigation using ground penetrating radar

F. Tosti;
2019-01-01

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.
Giannakis, I., Tosti, F., Lantini, L., Egyir, D., Alani, A.M. (2019). Signal processing for tree-trunk investigation using ground penetrating radar. In 10th International Workshop on Advanced Ground Penetrating Radar, Held at Near Surface Geoscience Conference and Exhibition 2019, NSG 2019.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/373738
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