Lineament Analysis by Remote Sensing and GIS Techniques for Groundwater and Mineral Exploration in and around Lingala and Pendlimarri Mandal’s of Kadapa District, A.P, India
|International Journal of Geoinformatics and Geological Science|
|© 2019 by SSRG - IJGGS Journal|
|Volume 6 Issue 2|
|Year of Publication : 2019|
|Authors : Ramachandra.M, Raghu Babu.K, Rajasekhar.M, Pradeep Kumar.B|
How to Cite?
Ramachandra.M, Raghu Babu.K, Rajasekhar.M, Pradeep Kumar.B, "Lineament Analysis by Remote Sensing and GIS Techniques for Groundwater and Mineral Exploration in and around Lingala and Pendlimarri Mandal’s of Kadapa District, A.P, India," International Journal of Geoinformatics and Geological Science, vol. 6, no. 2, pp. 38-44, 2019. Crossref, https://doi.org/10.14445/23939206/IJGGS-V6I2P106
Exploration groundwater, mineral resources and their proper exploitation requires lineament analysis. current studies were agreed out to expose the capability of structural features in the exploration and give emphasis to the significance of geospatial system likeRemote Sensing (RS) and Geographic Information System (GIS) techniques for proficient groundwater and mineral resources exploration and organization. The studies demonstrate the use of LANDSAT ETM+ imagery for mapping and analyses of lineaments. Image processing techniques relating linear/edge enhancement and directional filtering were applied on the image to enhance the edging of the linear characteristics used to extract lineament its relationship map using the lineament representation. ArcGIS 10.2 is used to create lineament analysis and to create rose diagram. Results showed that most promising sites for groundwateras well as mineralresources were dependent relative on the consistent factors of lithology, topography, and geologic formation. However, the field data of groundwater wells and active mining sites would contribute to refining the final locations of the most promising sites.The study has led to the explanation of sections of sustainable mineral and ground water resources. Present study revealed the intersections of E-W and N-S lineament trends are productive towards the exploration natural resources.
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Groundwater and Mineral exploration, Lineaments, LANDSAT ETM+, Remote Sensing, and GIS.