1887

Abstract

Summary

Last decades are defined by actively adopting remote sensing data, mainly including space imagery, in geoscience. One of the promising scientific and technical approaches, which allow efficiently managing large volumes of satellite images and other geospatial data and acquiring new useful information from this data, is a usage of geoinformation systems (GIS). Such systems must have capabilities to store, process, and visualize spatial data and analyze this data using Data mining approach. Specialized GIS RAPID (Recognition, Automatic Prognostication, Data Interpretation) is created in State Higher Education Institution “National Mining University”. The report gives basic facts concerning the system, its functional potential and examples of its application.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201412353
2015-05-11
2024-04-19
Loading full text...

Full text loading...

References

  1. Busygin, B., Nikulin, S.
    [2005] The integrated analysis of geological-geophysical and remote sensing data at the gold prospecting in Western Uzbekistan. 67-rd EAGE conference: Extended Abstracts, Vol. 1, Madrid, Spain.
    [Google Scholar]
  2. BusyginB., NikulinS.
    [2008] The new techniques of satellite images analysis for the earthquakes prediction in North Turkey. Symposium on Geophysics and Remote Sens?ng In Determ?nat?on of Near-Surface, Izmir, Turkey.
    [Google Scholar]
  3. BusyginB., Nikulin, S.
    [2009] The methodology of oil and gas deposits prognosis by space and geophysical data. 71-rd EAGE conference: Extended Abstracts, Amsterdam, The Netherlands.
    [Google Scholar]
  4. Pivnyak, G G, Busygin, B. S., Nikulin, S. L.
    [2007] GIS-technology of integrated heterogeneous and different-level geodata analysis. Reports of the National Academy of Sciences of Ukraine, 7, P. 121–128.
    [Google Scholar]
  5. BusyginB.S., NikulinS.L.
    [2013] Predicting methane accumulation in the Donetsk coal basin (Ukraine) on the basis of geological, geophysical and space data. Energy Efficiency Improvement of Geotechnical Systems, Taylor & Francis Group, London, P. 151–160
    [Google Scholar]
  6. BusyginB.S., NikulinS.L., GarkushaI.N.
    [2013] Prediction of hydrocarbon deposits in the crystalline basement of DDA using a complex of geophysical and satellite data // Modern Problems of Remote Sensing of Earth from space. Space Research Institute, Moscow. - vol. 10, 4. - P. 277–286.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201412353
Loading
/content/papers/10.3997/2214-4609.201412353
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error