An Evaluation of Different Methods to Investigate Root System Architecture of Urban Trees in Situ: I. Ground-Penetrating Radar
An Evaluation of Different Methods to Investigate Root System Architecture of Urban Trees in Situ: I. Ground-Penetrating Radar
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DOI：
10.48044/jauf.2002.001
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发表时间：
2002-01
影响因子：
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通讯作者：
A. Stokes;T. Fourcaud;J. Hruška;J. Cermak;Nadezhda Nadyezdhina;V. Nadyezhdin;L. Praus
中科院分区：
文献类型：
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作者：
A. Stokes;T. Fourcaud;J. Hruška;J. Cermak;Nadezhda Nadyezdhina;V. Nadyezhdin;L. Praus
为了评价探地雷达(GPR)对城市树木根系的现场测绘效率，对城市环境中的3棵树木进行了这项技术的测试。在样品树底部周围进行了极其快速的探地雷达测试后，用气铲挖出了根系，这会产生一股超音速气流，用来清除根部的土壤。拍摄了根系横断面的照片，与探地雷达图像进行了比较。然后对一棵松树的根系构型进行量化，并使用AMAPmod软件重建根系的二维图像。通过对实际根部与探地雷达数据手绘图像的比较表明，该技术仅在水平面上绘制大型根部是可靠的。探地雷达数据中的大部分误差是在人工绘制根系时产生的，并且是由垂直平面上平行于电磁信号的根系引起的。探地雷达无法识别这些树根。探地雷达技术可以被认为是树艺师的一种有价值的无损工具，但它仍然需要开发，特别是在可以根据原始数据重建根系结构3D图像的软件方面。
To evaluate the efficiency of ground-penetrating radar (GPR) to map root systems of urban trees in situ, this technique was tested on three trees in an urban environment. After carrying out the extremely rapid GPR tests around the bases of the sample trees, root systems were excavated with an air spade, which produces a supersonic jet of air used to remove soil from roots. Photographs were taken of root system transects for comparison with GPR images. Root system architecture was then quantified for one pine tree, and a two-dimensional image of the root system was reconstructed using AMAPmod software. A comparison of actual roots with images hand drawn from the GPR data showed that the technique is reliable for mapping large roots in the horizontal plane only. Most errors in data from the GPR method were induced when the root systems were manually redrawn, and from roots running parallel to the electromagnetic signal in the vertical plane. These roots could not be identified by GPR. The GPR technique could be considered a valuable nondestructive tool for the arborist, but it still needs development, especially with regard to a software that could reconstruct 3D images of root system architecture from raw data.