Geophysical Survey

About: Geophysical Survey is a facility organization based out in Obninsk, Russia. It is known for research contribution in the topics: Geology & Seismology. The organization has 308 authors who have published 256 publications receiving 3067 citations. The organization is also known as: Federal State Institution of Science Geophysical Survey of the Siberian Branch of the Russian Academy of Sciences.

Preliminary seismic hazard maps of Slovenia

Abstract: The preparation of the preliminary seismic hazard maps of the territory of Slovenia has been based on an expansion of the basic approach laid out by Cornell in 1968. Three seismic source models were prepared. Two of them are based mainly on the earthquake catalogue using the Poissonian probability model. A map of seismic energy release and a map of earthquake epicenter density are used to delineate seismic sources in these models. The geometry of the third model which is based on a rough estimate of seismotectonic setting is taken from the probabilistic seismic hazard analysis of a nuclear power plant in Slovenia. Published ground motion attenuation models based on strong motion records of recent strong earthquakes in Italy are used. Test maps for variable and uniform b-values are presented. The computer program, Seisrisk III, developed by the U.S. Geological Survey is used.

A method for InSAR baseline refinement and its application

Abstract: Interferometric baseline plays a very important role in InSAR data processing, and it will directly affect the accuracy of interferometric result. In this article, three classical baseline estimation methods were described. By comparing and combining three methods, a new baseline estimation method and its flow were listed. RADARSAT-2 satellite image data and grid digital elevation model ASTER GDEM (30m resolution) in Kailuan area are used as sample data. By analyzing the differential interferometric results generated with different baseline estimation methods, it can be concluded that the new method used by this article is correct and feasible.

Experiment study on quantitative retrieval of mineral abundances from reflectance spectra

Abstract: Quantitatively retrieving mineral abundances from hyperspectral data is one of promising and challenging geological application fields of hyperspectral data, and the most basic obstacles are mixture characteristic of mineral spectra and deconvolution method of mixture spectra. A series of mineral mixture schemes were designed, and several kinds of mineral were used for investigating the two obstacles. In the experiment, average single scattering albedo was calculated from reflectance spectra on the basis of Hapke radiative transfer model. The error of mineral abundances derived from reflectance spectra and single scattering albedo is 20.05% and 5.03% respectively, which shows that mixture spectra of all kinds of mineral belongs to nonlinear mixing, and Hapke model is a good method of resolving this problem. Finally, deconvolution of continuum-removed single scattering albedo spectra other than single scattering albedo spectra is considered to be the possible method that could be applied to imaging spectrometer data (e.g. AVIRIS and Hyperion data) to retrieve mineral abundances successfully, because intensity of spectra is influenced by terrain considerably rather than shape of spectra feature is influenced by terrain slightly.