Experimental Analysis of Srtm Model by Image Processing and Geostatistical Methods

  • Authors

    • M. V. Kuzyakina
    • D. A. Gura
    • Yu. A. Mishchenko
    • D. A. Gordienko
    2018-09-27
    https://doi.org/10.14419/ijet.v7i4.7.20558
  • Digital elevation model (DEM), geostatistics, image processing, kriging, SRTM.

  • Abstract

    This article compares the image processing and geostatistical methods of GIS. They proposed the application of these methods to restore the quality of the well-known digital elevation model SRTM degraded sections using the example of the Krasnodar Territory. The conclusions are drawn also about the quality of modeling for test sites with different types of relief – flat, hilly and mountain. The best results were achieved for the method of bicubic interpolation.

     

  • References

    1. [1] Van der Meer, F. Remote-sensing image analysis and geostatistics. International Journal of Remote Sensing, V. 33(18). 2012, pp. 5644-5676.

      [2] Rabus, B., Eineder, M., Roth, A., Bamler, R. The shuttle radar topography mission - a new class of digital elevation models acquired by spaceborne radar. ISPRS Journal of Photogrammetry and Remote Sensing, 2013.

      [3] V. 57 (4). pp. 241-262.

      [4] Pogorelov, A.V., Dumit, Zh.A. (2009): Relief of basin of the Kuban river: morphological analysis. Moscow, GEOS Publ., 2009. 219 p.

      [5] Johnston, K., Ver Hoef, J. M., Krivoruchko, K., Lucas, N. ArcGIS 9. Using ArcGIS Geostatistical Analyst - New York: ESRI, 2001. 300 p.

      [6] Geostatistics: theory and practice / V.V. Demyanov, E.A. Savelieva; Ed. by R.V. Arutyunyan; Institute of Nuclear Power Engineering Safe Development of the Russian Academy of Sciences. - M.: Science, 2010. - 327 p. - ISBN 978-5-02-037478-2.

      [7] J. Pilz, G. Spöck (2007) / Why Do We Need and How Should We Implement Bayesian Kriging Methods // Stochastic Environmental Research and Risk Assessment 22 (5): pp. 621–632.

      [8] Koshel S.M., Musin O.R. Digital modeling methods: kriging and radial interpolation. - Information Bulletin of GIS-Association, 2001. â„– 2 (29) -3 (30). pp. 23-24.

      [9] Matheron G. Splines and Kriging: their formal equivalence // Down to the earth statistics,D.F. Merriam (ed.), Academic Press, N.Y., Geology Contributions 8, 1981. Pp. 77–95.

      [10] Husnutdinov D. H., Aydarova S. H., Sagdieva R. K., Mirzagitov R. H., Tsaran A., Plotnikova H., Velikanova S. Information and Communication Tools for Tatar Language teaching, Astra Salvensis, Supplement No. 2, 2017, p. 15.

      [11] Mosunov V.A., Kuzyakina M.V., Kiselev E.N. The detection method of regional thermal anomalies of the Earth surface according to the MODIS satellite data // Geographical studies of the Krasnodar Territory: Krasnodar, 2015. pp. 334-340

      [12] Gura, D.A., Shevchenko, G.G., Petrenkov, D.V., Serikova, A.A. Efficiency in creating of three-dimensional model for a cadaster. Scientific Works of the Kuban State Technological University. 2017. â„– 4. pp. 233-240.

      [13] Gazizov R., Nagovitsyna T. A., Political manipulation of The Media (on the example of mass media of the republic of Tatarstan, Astra Salvensis - review of history and culture, No. 10, 2017, p. 11-16.

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  • How to Cite

    V. Kuzyakina, M., A. Gura, D., A. Mishchenko, Y., & A. Gordienko, D. (2018). Experimental Analysis of Srtm Model by Image Processing and Geostatistical Methods. International Journal of Engineering & Technology, 7(4.7), 250-253. https://doi.org/10.14419/ijet.v7i4.7.20558

    Received date: 2018-09-29

    Accepted date: 2018-09-29

    Published date: 2018-09-27