Coarse root distribution of a semi-arid oak savanna estimated with ground penetrating radar

2013 ◽  
Vol 118 (1) ◽  
pp. 135-147 ◽  
Author(s):  
Naama Raz-Yaseef ◽  
Laura Koteen ◽  
Dennis D. Baldocchi

2019 ◽  
Vol 436 (1-2) ◽  
pp. 623-639 ◽  
Author(s):  
Xinbo Liu ◽  
Xihong Cui ◽  
Li Guo ◽  
Jin Chen ◽  
Wentao Li ◽  
...  


BioResources ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 2237-2257
Author(s):  
Mingkai Wang ◽  
Jian Wen ◽  
Wenbin Li

The growth of coarse roots is complex, leading to intricate patterns of root systems in three dimensions. To detect and recognize coarse roots, ground-penetrating radar (GPR) was used. According to the GPR theory, a clear profile hyperbola is formed on the GPR radargrams when electromagnetic waves travel across two surfaces with different dielectric constants. First, the forward models (different root orientations) were built with simulation software (GprMax3.0) based on the finite-different time-domain method (FDTD). As the radar moved forward, the signal reflection curve was generated in different root orientations. An algorithm was proposed to obtain the coordinates of a single coarse root and analyze the influence of root direction on the hyperbola of coarse root through a symmetry curve and relative error (RE). Based on GPR datasets from the simulation experiment, the controlled experiment evaluated feasibility and effectiveness of the simulation experiment. To demonstrate the effect of the root orientation, the algorithm was applied to in situ recognition of the Summer Palace. The results showed that the localization of root orientation was relatively accurate. However, the proposed algorithm was unable to implement automatic detection, and the results still required human intervention. This research provides a solid basis for the biomass measurement, diameter estimation, and especially the three-dimensional reconstruction of ancient and famous trees.



2014 ◽  
Vol 88 (4) ◽  
pp. 657-669 ◽  
Author(s):  
Kira A. Borden ◽  
Marney E. Isaac ◽  
Naresh V. Thevathasan ◽  
Andrew M. Gordon ◽  
Sean C. Thomas


2014 ◽  
Vol 383 (1-2) ◽  
pp. 155-172 ◽  
Author(s):  
Yuan Wu ◽  
Li Guo ◽  
Xihong Cui ◽  
Jin Chen ◽  
Xin Cao ◽  
...  


2016 ◽  
Vol 30 (4) ◽  
pp. 533-543 ◽  
Author(s):  
Xiuwei Liu ◽  
Xuejun Dong ◽  
Daniel I. Leskovar

Abstract Belowground properties strongly affect agricultural productivity. Traditional methods for quantifying belowground properties are destructive, labor-intensive and pointbased. Ground penetrating radar can provide non-invasive, areal, and repeatable underground measurements. This article reviews the application of ground penetrating radar for soil and root measurements and discusses potential approaches to overcome challenges facing ground penetrating radar-based sensing in agriculture, especially for soil physical characteristics and crop root measurements. Though advanced data-analysis has been developed for ground penetrating radar-based sensing of soil moisture and soil clay content in civil engineering and geosciences, it has not been used widely in agricultural research. Also, past studies using ground penetrating radar in root research have been focused mainly on coarse root measurement. Currently, it is difficult to measure individual crop roots directly using ground penetrating radar, but it is possible to sense root cohorts within a soil volume grid as a functional constituent modifying bulk soil dielectric permittivity. Alternatively, ground penetrating radarbased sensing of soil water content, soil nutrition and texture can be utilized to inversely estimate root development by coupling soil water flow modeling with the seasonality of plant root growth patterns. Further benefits of ground penetrating radar applications in agriculture rely on the knowledge, discovery, and integration among differing disciplines adapted to research in agricultural management.







Ecology ◽  
2007 ◽  
Vol 88 (5) ◽  
pp. 1328-1334 ◽  
Author(s):  
Daniel B. Stover ◽  
Frank P. Day ◽  
John R. Butnor ◽  
Bert G. Drake


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