Radar reflectivity data can be quality-controlled using just the radar moments, and several techniques have been proposed to do this. It is possible to use texture features as inputs to a neural network to discriminate between precipitating radar echoes, and echoes that correspond to clear-air return, ground clutter or anamalous propagation. A texture feature neural network that was recently de...

Title of Study: Earthen levee slide detection via automated analysis of synthetic aperture radar imagery Pages in Study: 111 Candidate for Degree of Doctor of Philosophy The main focus of this research is to detect vulnerabilities on the Mississippi river levees using remotely sensed Synthetic Aperture Radar (SAR) imagery. Unstable slope conditions can lead to slump slides, which weaken the lev...

This paper proposes a method for improving the estimation accuracy of vegetation height using multi-baseline Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) data. Single-baseline Pol-InSAR technique has been applied to retrieve the vegetation parameters based on the random volume over ground (RVoG) model. There are two main error sources which might decrease the estimation acc...

Ground-penetrating radar (GPR) is a geophysical and close-range remote sensing technique based on the use of radar pulses to obtain cross-section images of underground features. This method is characterized by the transmission of an electromagnetic short length pulse (1-2 ns), presenting a centre frequency ranging from 10 MHz to 2.5 GHz. The principles of GPR operation are based on the ability ...

■ Abstract Ground penetrating radar (GPR) is a near-surface geophysical technique that can provide high resolution images of the dielectric properties of the top few tens of meters of the earth. In applications in contaminant hydrology, radar data can be used to detect the presence of liquid organic contaminants, many of which have dielectric properties distinctly different from those of the ot...