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Statistical Analysis Of Lineaments Using Landsat 8 Data: A Case Study Of The Fergana Valley (East Uzbekistan)
Sichugova L.V. , Mtech, Tashkent State Transport University, Tashkent, Uzbekistan Jamolov A.T. , Leading Specialist Of Control Department, The State Geology Committee Of The Republic Of Uzbekistan, Tashkent, Uzbekistan Movlanov J.J. , Director Of The Center For Geoinnovation Technologies, Doctor Of Science In Geological-Mineralogical Sciences, The State Geology Committee Of The Republic Of Uzbekistan, Tashkent, UzbekistanAbstract
This paper describes a statistical analysis of lineaments based on multi-temporal Landsat 8 imageries in the Fergana Valley (East Uzbekistan). The results of the statistical analysis showed that determined that the count of lineament structures changes by months. It was also noted that the Namangan region is more prone to the manifestation of lineament structures. The maximum count of lineament structures was in July. And in November, we observe a sharp decrease in lineament structures. According to the results of the rose diagrams, various orientations are observed for these months. There is a coincidence of directions.
Keywords
Lineaments, statistical analysis, rose-diagram, Landsat 8
References
Shevyrev S.L. (2017), “Algorithmization of remote analysis of structural and material parageneses of gold ore regions,” Vestnik VSU. Series: Geology. No. 2. p.p: 115-121 (in Russian)
Aminov Javhar, Xi Chen, Anming Bao, Aminov Jamshed, Mamadjanov Yunus, Aminov Jovid and Tuerhanjiang Latipa.(2019), “Comparison of Multi-Resolution Optical Landsat-8, Sentinel-2 and Radar Sentinel-1 Data for Automatic Lineament Extraction: A Case Study of Alichur Area, SE Pamir,” Remote Sens. 11, 778; doi:10.3390/rs11070778
Sichugova L.V., Fazilova D.Sh. (2020), “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, V. 26. Part 2. P. 436–442. DOI: 10.35595/2414-9179-2020-2-26-436-442
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