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ISSN: 2469-4134

Journal of Remote Sensing & GIS
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  • Research Article   
  • J Remote Sensing & GIS 6: 221,
  • DOI: 10.4172/2469-4134.1000221

Lithological Discrimination by Selective Image Processing Techniques

Raghu Babu K1, Keshava Kiran Kumar PL1 and Ramakrishna P2*
1Department of Geology, Yogi Vemana University, Kadapa, Andhra Pradesh, India
2Government Degree College, , Nalgonda, Telangana, India
*Corresponding Author : Ramakrishna P, Government Degree College, Nalgonda, Telangana, India, Tel: 9440673734, Email: [email protected]

Received Date: Nov 01, 2017 / Accepted Date: Dec 11, 2017 / Published Date: Dec 13, 2017


Exploration geology involves mapping of rocks that includes delineation of different rock types known as lithological maps. Such maps provide primary information about the mineralogical and hydrological occurrences beneath the surface of the earth. Remote Sensing by satellites and their study through GIS are sophisticated techniques available today for lithological discrimination and mineralogical and hydrological exploration. Spatial technology through satellite data has become an excellent technology not only for lithological mapping, but lineament extraction, structural mapping etc. In the present study image processing techniques have been applied to IRS P6 LISS III image of 57j/7 scene covering Vempelli, Vemula and Velpula villages of 720 area. It is composed of all three varieties of rock types viz., igneous, metamorphic and sedimentary rocks. Peninsular Gneissic Complex (PGC) is the basement rock consisting of granites, granodiorites, schists and gneisses forms the basement of the area, over which Cuddapah Supergroup rocks are present. Gulcheru quartzites, Vempalli dolomites, of Papaghni group, Pulivendla quartzites, Tadipatri shales of Chitravati group are the Cuddapah Supergroup rocks occurring in the study area. Igneous activity is seen between Vempalli dolomites, Pulivendla quartzites and within Tadipatri shales in the form of sills.

Keywords: Lithology; Exploration; Mapping; Quartzites; Limestones; Dolomite; PGC

Citation: Raghu BK, Keshava KKPL, Ramakrishna P (2017) Lithological Discrimination by Selective Image Processing Techniques. J Remote Sensing & GIS 6: 221 Doi: 10.4172/2469-4134.1000221

Copyright: © 2017 Raghu BK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.