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Title: Accurate tree roots positioning and sizing over undulated ground surfaces by common offset GPR measurements
Authors: Luo, Wenhao
Lee, Yee Hui
Ow, Lai Fern
Yusof, Mohamed Lokman Mohd
Yucel, Abdulkadir C.
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Luo, W., Lee, Y. H., Ow, L. F., Yusof, M. L. M. & Yucel, A. C. (2022). Accurate tree roots positioning and sizing over undulated ground surfaces by common offset GPR measurements. IEEE Transactions On Instrumentation and Measurement, 71, 5502011-.
Journal: IEEE Transactions on Instrumentation and Measurement
Abstract: Tree roots detection is a popular application of the Ground-penetrating radar (GPR). Normally, the ground surface above the tree roots is assumed to be flat, and standard processing methods based on hyperbolic fitting are applied to the hyperbolae reflection patterns of tree roots for detection purposes. When the surface of the land is undulating (not flat), these typical hyperbolic fitting methods becomes inaccurate. This is because, the reflection patterns change with the uneven ground surfaces. When the soil surface is not flat, it is inaccurate to use the peak point of an asymmetric reflection pattern to identify the depth and horizontal position of the underground target. The reflection patterns of the complex shapes due to extreme surface variations results in analysis difficulties. Furthermore, when multiple objects are buried under an undulating ground, it is hard to judge their relative positions based on a B-scan that assumes a flat ground. In this paper, a roots fitting method based on electromagnetic waves (EM) travel time analysis is proposed to take into consideration the realistic undulating ground surface. A wheel-based (WB) GPR and an antenna-height-fixed (AHF) GPR System are presented, and their corresponding fitting models are proposed. The effectiveness of the proposed method is demonstrated and validated through numerical examples and field experiments.
ISSN: 0018-9456
DOI: 10.1109/TIM.2022.3181240
Schools: School of Electrical and Electronic Engineering 
Rights: © 2022 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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