EFFECT OF ELEVATED CO2ON COARSE-ROOT BIOMASS IN FLORIDA SCRUB DETECTED BY GROUND-PENETRATING RADAR

Ecology ◽  
2007 ◽  
Vol 88 (5) ◽  
pp. 1328-1334 ◽  
Author(s):  
Daniel B. Stover ◽  
Frank P. Day ◽  
John R. Butnor ◽  
Bert G. Drake
Keyword(s):  
Ground Penetrating Radar ◽  
Root Biomass ◽  
Florida Scrub ◽  
Coarse Root ◽  
Ground Penetrating

Estimating coarse root biomass with ground penetrating radar in a tree-based intercropping system

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

scholarly journals Quantitative, nondestructive estimates of coarse root biomass in a temperate pine forest using 3-D ground-penetrating radar (GPR)

2017 ◽  
Vol 122 (1) ◽  
pp. 80-102 ◽  
Author(s):  
Michelle Molon ◽  
Joseph I. Boyce ◽  
M. Altaf Arain
Keyword(s):  
Ground Penetrating Radar ◽  
Root Biomass ◽  
Pine Forest ◽  
Coarse Root ◽  
Ground Penetrating

scholarly journals 3D Ground Penetrating Radar to Detect Tree Roots and Estimate Root Biomass in the Field

2014 ◽  
Vol 6 (6) ◽  
pp. 5754-5773 ◽  
Author(s):  
Shiping Zhu ◽  
Chunlin Huang ◽  
Yi Su ◽  
Motoyuki Sato
Keyword(s):  
Ground Penetrating Radar ◽  
Root Biomass ◽  
Tree Roots ◽  
Ground Penetrating

Non-invasive estimation of root zone soil moisture from coarse root reflections in ground-penetrating radar images

2019 ◽  
Vol 436 (1-2) ◽  
pp. 623-639 ◽  
Author(s):  
Xinbo Liu ◽  
Xihong Cui ◽  
Li Guo ◽  
Jin Chen ◽  
Wentao Li ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Ground Penetrating Radar ◽  
Root Zone ◽  
Coarse Root ◽  
Radar Images ◽  
Non Invasive ◽  
Ground Penetrating

Qualitative research: The impact of root orientation on coarse roots detection using ground-penetrating radar (GPR)

BioResources ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 2237-2257
Author(s):  
Mingkai Wang ◽  
Jian Wen ◽  
Wenbin Li
Keyword(s):  
Ground Penetrating Radar ◽  
Simulation Experiment ◽  
Simulation Software ◽  
Dielectric Constants ◽  
Three Dimensions ◽  
Coarse Roots ◽  
Coarse Root ◽  
Ground Penetrating ◽  
The Impact ◽  
Root Orientation

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.

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
Keyword(s):  
Ground Penetrating Radar ◽  
Root Distribution ◽  
Oak Savanna ◽  
Coarse Root ◽  
Ground Penetrating ◽  
Semi Arid

Ground-penetrating radar-based automatic reconstruction of three-dimensional coarse root system architecture

2014 ◽  
Vol 383 (1-2) ◽  
pp. 155-172 ◽  
Author(s):  
Yuan Wu ◽  
Li Guo ◽  
Xihong Cui ◽  
Jin Chen ◽  
Xin Cao ◽  
...  
Keyword(s):  
Root System ◽  
Ground Penetrating Radar ◽  
System Architecture ◽  
Three Dimensional ◽  
Root System Architecture ◽  
Coarse Root ◽  
Ground Penetrating

scholarly journals Prediction of Root Biomass in Cassava Based on Ground Penetrating Radar Phenomics

2021 ◽  
Vol 13 (23) ◽  
pp. 4908
Author(s):  
Afolabi Agbona ◽  
Brody Teare ◽  
Henry Ruiz-Guzman ◽  
Iliyana D. Dobreva ◽  
Mark E. Everett ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Root Biomass ◽  
Early Stage ◽  
Pearson Correlation ◽  
Discrete Fourier Transformation ◽  
Coefficient Of Determination ◽  
Representative Point ◽  
Early Maturity ◽  
World Food Security ◽  
Ground Penetrating

Cassava as a world food security crop still suffers from an inadequate means to measure early storage root bulking (ESRB), a trait that describes early maturity and a key characteristic of improved cassava varieties. The objective of this study is to evaluate the capability of ground penetrating radar (GPR) for non-destructive assessment of cassava root biomass. GPR was evaluated for this purpose in a field trial conducted in Ibadan, Nigeria. Different methods of processing the GPR radargram were tested, which included time slicing the radargram below the antenna surface in order to reduce ground clutter; to remove coherent sub-horizontal reflected energy; and having the diffracted energy tail collapsed into representative point of origin. GPR features were then extracted using Discrete Fourier Transformation (DFT), and Bayesian Ridge Regression (BRR) models were developed considering one, two and three-way interactions. Prediction accuracies based on Pearson correlation coefficient (r) and coefficient of determination (R2) were estimated by the linear regression of the predicted and observed root biomass. A simple model without interaction produced the best prediction accuracy of r = 0.64 and R2 = 0.41. Our results demonstrate that root biomass can be predicted using GPR and it is expected that the technology will be adopted by cassava breeding programs for selecting early stage root bulking during the crop growth season as a novel method to dramatically increase crop yield.

Impact of root water content on root biomass estimation using ground penetrating radar: evidence from forward simulations and field controlled experiments

2013 ◽  
Vol 371 (1-2) ◽  
pp. 503-520 ◽  
Author(s):  
Li Guo ◽  
Henry Lin ◽  
Bihang Fan ◽  
Xihong Cui ◽  
Jin Chen
Keyword(s):  
Water Content ◽  
Ground Penetrating Radar ◽  
Root Biomass ◽  
Biomass Estimation ◽  
Controlled Experiments ◽  
Ground Penetrating
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