What Indicative Information of a Subsurface Wetted Body Can Be Detected by a Ground-Penetrating Radar (GPR)? A Laboratory Study and Numerical Simulation

Abstract

Nondestructive and noninvasive visualization and quantification of soil wetted bodies (SWBs) is of great significance to the development of water-saving agriculture. Unfortunately, measuring the parameters of SWBs is difficult due to the invisibility of SWBs buried underneath the ground and the non-variability of the soil moisture under partial irrigation conditions. Therefore, we performed a laboratory experiment to investigate what SWB attributes can be detected by a GPR. In the laboratory, three typical partial irrigation experiments were conducted to collect the GPR data of SWBs of different sizes, shapes, and burial depths. Additionally, numerical simulation scenarios were designed according to the laboratory experiment. Then, the simulated and measured GPR data were processed by the FK migration method. Based on the simulation, a calibration model for the width of SWBs was constructed. We found that SWB attributes, such as type and location can be obtained from raw radargrams owing to the obvious reflection of the top and bottom interfaces. The results showed that estimating the depth and thickness of SWBs from FK migration radargrams is more reliable than from raw radargrams. Moreover, estimation of the width of SWBs relies on the FK migration radargrams. Our findings indicate that the size and depth of SWBs dominate the width detection accuracy, and the estimated width gained via the width calibration model is improved. Our results highlight the potential for using GPR data to detect SWBs, as well as the potential of using numerical simulation, FK migration, and calibration modeling in combination to extract the size information of SWBs from GPR radargrams.

Editorial for the Special Issue “Radar Techniques for Structures Characterization and Monitoring”

“…But it also expands to include other techniques such as laser-based scanning and insight into new developments in the field of radar processing. Ten research papers were published in this Special Issue, comprising nine articles [1][2][3][4][5][6][7][8][9] and one technical note [10].…”

“…Two research papers from Zhang et al [5] and Wang et al [6] focus on the detection of water content and wet surfaces for use in agricultural settings. The authors of [5] use innovative data processing techniques to improve the assessment of water content in the soil.…”

“…The authors of [5] use innovative data processing techniques to improve the assessment of water content in the soil. On the other hand, the authors of [6] show laboratory experiments and numerical simulations to show wet underground objects and surfaces produce a distinct signal within GPR data that allows for a better interpretation of the presence of water.…”