Impact of Data Processing and Antenna Frequency on Spatial Structure Modelling of GPR Data

Sensors

Daniela De Benedetto¹  Ruggiero Quarto¹  Annamaria Castrignanò²  Domenico A. Palumbo² 

[1] Dipartimento di Scienze della Terra e Geoambientali, University of Bari, Aldo Moro, Bari 70125, Italy; E-Mail:;Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria, Unità di Ricerca per i Sistemi Colturali degli Ambienti Caldo-Aridi (SCA), Bari 70125, Italy; E-Mails:

关键词: ground-penetrating radar;    amplitude maps;    antenna frequency;    data processing;    geostatistical modelling;   

DOI  :  10.3390/s150716430

来源: mdpi

【 摘 要 】

Over the last few years high-resolution geophysical techniques, in particular ground-penetrating radar (GPR), have been used in agricultural applications for assessing soil water content variation in a non-invasive way. However, the wide use of GPR is greatly limited by the data processing complexity. In this paper, a quantitative analysis of GPR data is proposed. The data were collected with 250, 600 and 1600 MHz antennas in a gravelly soil located in south-eastern Italy. The objectives were: (1) to investigate the impact of data processing on radar signals; (2) to select a quick, efficient and error-effective data processing for detecting subsurface features; (3) to examine the response of GPR as a function of operating frequency, by using statistical and geostatistical techniques. Six data processing sequences with an increasing level of complexity were applied. The results showed that the type and range of spatial structures of GPR data did not depend on data processing at a given frequency. It was also evident that the noise tended to decrease with the complexity of processing, then the most error-effective procedure was selected. The results highlight the critical importance of the antenna frequency and of the spatial scale of soil/subsoil processes being investigated.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.