Geophysical measurements increasingly are being used in hydrologic field stud-­­ ies because of their ability to provide high-­­resolution images of the subsurface. In particular, tomographic imaging methods can produce maps of physical property distributions that have significant potential to improve subsurface characteriza-­­ tion and enhance monitoring of hydrologic processes. In the tomogra...

A unified modelling procedure is proposed to jointly interpret the variations observed in geophysical data and to properly take into account the relationship between the intrusive processes and the geophysical variations expected at the ground surface. We focus on the joint inversion of geophysical data by a procedure based on Artificial Neural Network (ANN) for the estimation of the volcanic s...

Method for geophysical parameter estimations with microwave radiometer data based on Simulated Annealing: SA is proposed. Geophysical parameters which are estimated with microwave radiometer data are closely related each other. Therefore simultaneous estimation makes constraints in accordance with the relations. On the other hand, SA requires huge computer resources for convergence. In order to...

We apply skeletonization approach to geophysical data to recognize geologic structures and pick seismic horizons automatically. We formulate the technique to be explicitly applicable to all gridded geophysical data. The method consists in extracting multiple features of “wavelets” which may be single or double peaks or troughs characterized by amplitudes, widths, orientation angles, spatial dim...

A two-step physical algorithm that simultaneously retrieves geophysical parameters from Moderate Resolution Imaging Spectroradiometer (MODIS) measurements was developed. The retrieved geophysical parameters include atmospheric temperature-humidity profile, surface skin temperature, and two surface emissivities within the shortwave (3-5-microm) and the longwave (8-14.5-microm) regions. The physi...

Different geophysical surveys have a specific sensitivity to geological targets, determined by the physical nature of the observed geophysical field, the design of the data acquisition system, and the configuration and type of the source of the recorded data. The sensitivity is usually limited to some part of the examined geological formation, located relatively close to the sensors. This paper...

Recent developments in geophysical data analysis suggest that in addition to a multi-method approach, “data fusion” techniques can offer meaningful insights into archaeological features, as well as allow for researchers to establish patterns between multivariate data sets that might otherwise go unnoticed. Extensive and intensive geophysical prospection has been employed at the site of Portus i...

Climate modeling encompasses an enormous range of spatial and temporal scales. One of its great remaining challenges is bridging the scale gaps between global climate processes, basinscale and regional impacts, and smaller-scale ecosystem dynamics. Improving and accessing enhanced computational resources will help bridge this gap. Nonetheless, enhanced computer power alone is insufficient witho...

A method of detecting solitons and determine their parameters based on the scattering problem solution for the relevant nonlinear equation is developed. As an example the Derivative Nonlinear Schrödinger (DNLS) equation has been considered. The integral reflection coefficient, which should rapidly drop when a signal is close to N-soliton profile, has been used as a soliton detector. Application...