Mapping coarse tree roots using ground-penetrating radar with an angular grid acquisition

Roots are critical to tree health and structural stability, yet their complex geometry covered by the soil makes them difficult to characterize. Ground-penetrating radar (GPR) is a nondestructive geophysical method capable of imaging coarse woody roots, but transforming raw GPR data into spatially coherent root maps remains challenging. This study presents 3.6 km of GPR data collected around a mature swamp oak ( Quercus palustris ) with a diameter at breast height of 1.1 m, located in the South Carolina Botanical Gardens, USA. A total of 1170 profiles were acquired at 15 cm spacing using a 500 MHz antenna and a novel angular grid geometry that maintained perpendicular orientation to radially extending roots. A multi-stage processing workflow that consisted of velocity analysis, migration, and site-specific depth-normalization was used to characterize the root system architecture. The resulting dendritic network exhibited visible asymmetry, with higher root density on the upslope side of the trunk. Roots initiated near the trunk at depths of 30–60 cm and became shallower (10–20 cm) near the canopy edge, over 10 m away. The GPR data were used to guide an airspade excavation, which confirmed the location of coarse roots predicted by the survey. These results demonstrate that high-density GPR data, when paired with optimized acquisition and processing, can resolve spatially continuous root networks and support non-invasive root system characterization. Roots are critical to tree health and structural stability, yet their complex geometry covered by the soil makes them difficult to characterize. Ground-penetrating radar (GPR) is a nondestructive geophysical method capable of imaging coarse woody roots, but transforming raw GPR data into spatially coherent root maps remains challenging. This study presents 3.6 km of GPR data collected around a mature swamp oak ( Quercus palustris ) with a diameter at breast height of 1.1 m, located in the South Carolina Botanical Gardens, USA. A total of 1170 profiles were acquired at 15 cm spacing using a 500 MHz antenna and a novel angular grid geometry that maintained perpendicular orientation to radially extending roots. A multi-stage processing workflow that consisted of velocity analysis, migration, and site-specific depth-normalization was used to characterize the root system architecture. The resulting dendritic network exhibited visible asymmetry, with higher root density on the upslope side of the trunk. Roots initiated near the trunk at depths of 30–60 cm and became shallower (10–20 cm) near the canopy edge, over 10 m away. The GPR data were used to guide an airspade excavation, which confirmed the location of coarse roots predicted by the survey. These results demonstrate that high-density GPR data, when paired with optimized acquisition and processing, can resolve spatially continuous root networks and support non-invasive root system characterization. • Angular grid acquisition and a unique processing flow enabled non-invasive mapping of coarse tree roots using a 500 MHz ground-penetrating radar (GPR) antenna. • Collapsed diffraction hyperbolae formed a dendritic network with radial continuity and azimuthal asymmetry, with roots concentrated on the upslope side of the tree. • Airspade excavation, guided by the GPR data, confirmed root locations.

Institutions

Publication Details

Journal
Journal of Applied Geophysics
Published
2026-03-24
DOI
https://doi.org/10.1016/j.jappgeo.2026.106226
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping coarse tree roots using ground-penetrating radar with an angular grid acquisition

Journal of Applied Geophysics
Geophysical Methods and Applications
article

Mapping coarse tree roots using ground-penetrating radar with an angular grid acquisition

article en

Abstract

Roots are critical to tree health and structural stability, yet their complex geometry covered by the soil makes them difficult to characterize. Ground-penetrating radar (GPR) is a nondestructive geophysical method capable of imaging coarse woody roots, but transforming raw GPR data into spatially coherent root maps remains challenging. This study presents 3.6 km of GPR data collected around a mature swamp oak ( Quercus palustris ) with a diameter at breast height of 1.1 m, located in the South Carolina Botanical Gardens, USA. A total of 1170 profiles were acquired at 15 cm spacing using a 500 MHz antenna and a novel angular grid geometry that maintained perpendicular orientation to radially extending roots. A multi-stage processing workflow that consisted of velocity analysis, migration, and site-specific depth-normalization was used to characterize the root system architecture. The resulting dendritic network exhibited visible asymmetry, with higher root density on the upslope side of the trunk. Roots initiated near the trunk at depths of 30–60 cm and became shallower (10–20 cm) near the canopy edge, over 10 m away. The GPR data were used to guide an airspade excavation, which confirmed the location of coarse roots predicted by the survey. These results demonstrate that high-density GPR data, when paired with optimized acquisition and processing, can resolve spatially continuous root networks and support non-invasive root system characterization. Roots are critical to tree health and structural stability, yet their complex geometry covered by the soil makes them difficult to characterize. Ground-penetrating radar (GPR) is a nondestructive geophysical method capable of imaging coarse woody roots, but transforming raw GPR data into spatially coherent root maps remains challenging. This study presents 3.6 km of GPR data collected around a mature swamp oak ( Quercus palustris ) with a diameter at breast height of 1.1 m, located in the South Carolina Botanical Gardens, USA. A total of 1170 profiles were acquired at 15 cm spacing using a 500 MHz antenna and a novel angular grid geometry that maintained perpendicular orientation to radially extending roots. A multi-stage processing workflow that consisted of velocity analysis, migration, and site-specific depth-normalization was used to characterize the root system architecture. The resulting dendritic network exhibited visible asymmetry, with higher root density on the upslope side of the trunk. Roots initiated near the trunk at depths of 30–60 cm and became shallower (10–20 cm) near the canopy edge, over 10 m away. The GPR data were used to guide an airspade excavation, which confirmed the location of coarse roots predicted by the survey. These results demonstrate that high-density GPR data, when paired with optimized acquisition and processing, can resolve spatially continuous root networks and support non-invasive root system characterization. • Angular grid acquisition and a unique processing flow enabled non-invasive mapping of coarse tree roots using a 500 MHz ground-penetrating radar (GPR) antenna. • Collapsed diffraction hyperbolae formed a dendritic network with radial continuity and azimuthal asymmetry, with roots concentrated on the upslope side of the tree. • Airspade excavation, guided by the GPR data, confirmed root locations.

Journal of Applied GeophysicsVol. 250
University of Newcastle Australia (AU), Clemson University (US)
Life in Land
Openalex Percentile: Top 10%
Geophysical Methods and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.