Structural interpretation of lineaments using satellite image processing: A case study in the vicinity of the Charvak reservoir

DOI: 10.35595/2414-9179-2020-2-26-436-442

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About the Authors

Lola V. Sichugova

Ulugh Beg Astronomical Institute (UBAI) of the Uzbekistan Academy of Sciences,
Astronomicheskaya str., 33, Uzbekistan, Tashkent,
E-mail: dil_faz@yahoo.com

Dilbarkhon Sh. Fazilova

Ulugh Beg Astronomical Institute (UBAI) of the Uzbekistan Academy of Sciences,
Astronomicheskaya str., 33, Uzbekistan, Tashkent,
E-mail: slola988@gmail.com

Abstract

This work presents the results of lineaments interpretation using the automated method of the satellite images in the territory of the Charvak water reservoir in Uzbekistan. Tectonic and local (water impoundment in Charvak reservoir) features of the region deformation were determined on base LINE algorithm in software PCI Geomatica. The thematic map with the geospatial arrangement of lineaments was constructed on base of satellite images LANDSAT-8 processing. We concluded that water level fluctuations have a greater influence on the appearance of the lineaments structure than periods of water filling and downstream in the reservoir. Lineament density maps showed dominantly increased density towards the north-southern direction is due to tectonic features of the region and the west-eastern direction is due to water level fluctuations in the reservoir. The lineaments density maps for summer-autumn periods showed the faults arising from water level fluctuations only. Winter-spring period affected with high influence of the seasonal (snow pack, rainfall) processes as well.

Keywords

lineaments, LINE algorithm, LANDSAT-8, line density, Charvak reservoir

References

  1. Bondur V.G., Krapivin V.F., Savinykh V.P. Monitoring and forecasting natural disasters. Moscow: Scientific World, 2009. 692 p. (in Russian).
  2. Burtman V. Disjunctive dislocations of the upper crust of Tien Shan. Reports Earth Sciences, 2019. V. 484. P. 37–39. DOI: 10.1134/S1028334X19010185.
  3. Chaabouni R., Bouaziz S., Peresson H., Wolfgang J. Lineament analysis of South Jene in Area (Southern Tunisia) using remote sensing data and geographic information system. The Egyptian Journal of Remote Sensing and Space Sciences, 2012. V. 15. P. 197–206.
  4. Gubin V.N. Satellites technology in geodynamics. Minsk: Minsktipproekt, 2010. 87 p. (in Russian).
  5. Lillesand T.M., Kiefer R.W., Chipman J.W. Remote Sensing and Image Interpretation. 5th edition. New York: John Wiley & Sons Inc., 2004. 666 p. DOI: 10.2307/634969.
  6. Geomatica 2013. OrthoEngine. Course Exercises. Version 2013. Richmond Hills, Ontario, Canada: PCI Geomatics Enterprises Inc., 2013. 169 p.
  7. Prabhakaran A.N., Jawahar Ray N. Mapping and analysis of tectonic lineaments of Pachamalai hills, Tamil Nadu, India using geospatial technology. Geology, Ecology, and Landscapes, 2018. 22 Mar. P. 81–103. DOI: 10.1080/24749508.2018.1452481.
  8. Rakhmatullaev Sh., Huneau F., Celle-Jeanton H., Le Coustumer Ph., Motelica-Heino M., Bakiev M. Water reservoirs, irrigation and sedimentation in Central Asia: A first cut assessment for Uzbekistan. Environmental Earth Sciences, 2013. No 68 (4). P. 985–998. DOI: 10.1007/s12665-012-1802-0.
  9. Roy D.P., Wulder M.A., Loveland T.R., Woodcock C.E., Allen R.G., Anderson M.C. Landsat-8: science and product vision for terrestrial global change research Remote Sens. Environ, 2014. No 145. P. 154–172.
  10. Takorabt M., Toubal A.C., Haddoum H., Zerrouk S. Determining the role of lineaments in underground hydrodynamics using Landsat 7 ETM+ data, case of the Chott El Gharbi Basin (western Algeria). Arabian Journal of Geosciences, 2018. No 11 (76). DOI: 10.1007/s12517-018-3412-y.
  11. Yarmukhamedov A.R., Yakubov D.H., Sattarov A.S. Modern geodynamics of East Uzbekistan. Tashkent: “Fan”, 1979. 111 р. (in Russian).

For citation: Sichugova L.V., Fazilova D.Sh. Structural interpretation of lineaments using satellite image processing: A case study in the vicinity of the Charvak reservoir. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: Moscow University Press, 2020. V. 26. Part 2. P. 436–442. DOI: 10.35595/2414-9179-2020-2-26-436-442