Analysis of the attenuation in soils and water content in remote sensing surveying

V. Pérez-Gracia; L. G. Pujades; J. A. Canas; D. Di Capua; R. González-Drigo

doi:10.1117/12.737077

9 October 2007 Analysis of the attenuation in soils and water content in remote sensing surveying

V. Pérez-Gracia, L. G. Pujades, J. A. Canas, D. Di Capua, R. González-Drigo

Proceedings Volume 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX; 67420B (2007) https://doi.org/10.1117/12.737077
Event: SPIE Remote Sensing, 2007, Florence, Italy

Abstract

Ground-penetrating radar (GPR) is a high resolution surveying method applied to civil engineering, surface geology, archaeology and other disciplines. Mainly it is used solving the direct problem and obtaining a model of the studied medium. Otherwise, the study of the inverse problem could provide other valuable information: the electromagnetic properties of the medium. These parameters are obtained from the changes of the velocity, attenuation and frequency of the recorded wave. The physical properties of the medium related to those wave parameters are, mainly, the water content and the porosity. Several lab experiences are performed in order to obtain these parameters from different soil samples. Porosity and water content are measured and controlled. Velocity is obtained by measuring the two-way travel time of the reflected wave and comparing wave reflected amplitudes on the surface of the samples. Attenuation coefficients are determined from the analysis of the amplitude of the wave traveling in different thickness samples. Frequencies velocities and wave attenuation are analyzed in the different cases in order to characterize those different media and to relate its water content and its porosity with these measured parameters. The experimental results were also compared with the complex refraction index model (CRIM).

Citation Download Citation

V. Pérez-Gracia, L. G. Pujades, J. A. Canas, D. Di Capua, and R. González-Drigo "Analysis of the attenuation in soils and water content in remote sensing surveying", Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 67420B (9 October 2007); https://doi.org/10.1117/12.737077

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