Assessing the internal structure of hollow trees using GPR and microwave tomography

Fabio Tosti, Gianluca Gennarelli, Livia Lantini, Ilaria Catapano, Lilong Zou, Francesco Soldovieri, Amir M. Alani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Trees and woodlands are nowadays threatened by variety of aggressive diseases and fungal infections. As a result, internal decays in trees, can lead to the creation of cavities and large holes inside the trunks, which in turn can seriously undermine the stability and the integrity of the tree. In this regard, ground-penetrating radar (GPR) has recently proven to be an effective non-destructive testing (NDT) method, with the potential of providing information about the internal structure of trees. However, the particular shape of tree trunks prevents the use of traditional data processing techniques, and only limited information can be collected for tree health assessment purposes. This study shows the potential of GPR enhanced by a microwave tomography inversion approach in detecting tree cavities and hollows. A hollow tree was investigated by performing a set of circular GPR scans, and the internal structure of the trunk was reconstructed via tomographic imaging. The achieved results were validated by way of comparison with real sections cut from the tree and prove the validity of the proposed methodology in identifying the dimension and shape of cavities and hollows in tree trunks.
Original languageEnglish
Title of host publicationPublished in: 2020 43rd International Conference on Telecommunications and Signal Processing (TSP), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp.453-456. ISBN 9781728163765
Pages453-456
DOIs
Publication statusPublished - 8 Jul 2020

Bibliographical note

Note: Published in: 2020 43rd International Conference on Telecommunications and Signal Processing (TSP), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp.453-456. ISBN 9781728163765

Keywords

  • ground-penetrating radar (GPR)
  • hollow trees
  • microwave tomography
  • NDT
  • tree health monitoring
  • Civil engineering

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