A novel processing framework for tree root mapping and density estimation using ground penetrating radar

Lantini, Livia ORCID: https://orcid.org/0000-0002-0416-1077, Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937, Giannakis, Iraklis, Egyir, Daniel, Benedetto, Andrea and Alani, Amir (2019) A novel processing framework for tree root mapping and density estimation using ground penetrating radar. In: 10th International Workshop on Advanced Ground Penetrating Radar, 8-12 Sept, The Hague, Netherlands.

[thumbnail of Tosti_etal_IWAGPR_2019_A_novel_processing_framework_for_tree_root_mapping_and_density_estimation_using_ground_penetrating_radar.pdf] PDF
Tosti_etal_IWAGPR_2019_A_novel_processing_framework_for_tree_root_mapping_and_density_estimation_using_ground_penetrating_radar.pdf - Accepted Version
Restricted to Repository staff only

Download (1MB) | Request a copy


Estimating the root density of mature trees is of high importance as the root system is a robust indicator of both the health status and the structural integrity of a tree. With this in mind, a multi-stage data processing scheme is proposed using Ground Penetrating Radar (GPR) to achieve an effective estimation of the root density of trees. The proposed framework is divided into three main chronological steps. Initially, ringing noise is removed using a Singular Value Decomposition (SVD) filter prior to a frequency-wavenumber (F-K) migration. Subsequently, a tracking algorithm is applied to the processed data in an effort to identify patterns associated with roots. Lastly, the found patterns are expressed as continuous and differentiable functions from which the root density is derived. To demonstrate the viability of the proposed approach, a case study is presented in order to identify the root system and map the overall density of the roots of a mature tree. The algorithm is commercially appealing with minimum computational and operational requirements for large-scale forestry applications.

Item Type: Conference or Workshop Item (Paper)
Identifier: 10.3997/2214-4609.201902564
Page Range: pp. 1-6
Identifier: 10.3997/2214-4609.201902564
Keywords: ground penetrating radar (GPR), tree health monitoring, tree root detection, tree root density, forestry applications, data processing methodology
Subjects: Construction and engineering > Civil and environmental engineering
Construction and engineering > Electrical and electronic engineering
Construction and engineering > Built environment
Construction and engineering > Civil and structural engineering
Construction and engineering
Related URLs:
Depositing User: Fabio Tosti
Date Deposited: 07 Jan 2020 15:35
Last Modified: 28 Aug 2021 07:12
URI: https://repository.uwl.ac.uk/id/eprint/6671

Actions (login required)

View Item View Item