Abstract

Abstract. The study area falls in the southern part of the Indian Peninsular comprising hard crystalline rocks of Archaeozoic and Proterozoic Era. In the present study, the GIS based 3D visualizations of gravity, magnetic, resistivity and topographic datasets were made and therefrom the basement lineaments, shallow subsurface lineaments and surface lineaments/faults were interpreted. These lineaments were classified as category-1 i.e. exclusively surface lineaments, category-2 i.e. surface lineaments having connectivity with shallow subsurface lineaments and category-3 i.e. surface lineaments having connectivity with shallow subsurface lineaments and basement lineaments. These three classified lineaments were analyzed in conjunction with known mineral occurrences and historical seismicity of the study area in GIS environment. The study revealed that the category-3 NNE-SSW to NE-SW lineaments have greater control over the mineral occurrences and the N-S, NNE-SSW and NE-SW, faults/lineaments control the seismicities in the study area.

Highlights

  • All over the world, metallic mineral deposits were found mostly in fold closures, faults / lineaments and their intersections

  • The advanced virtues available with modern Remote Sensing and GIS technology like 3D visualization of SRTM revealed topography which enhances the lineaments and evaluation of depth persistence of the lineaments using the Digital Elevation Models (DEM) of geophysical datasets to explore its control over resources and hazards have not been done

  • The present study has been carried out to map the lineaments at surface, shallow subsurface and deep seated levels using Remote Sensing and geophysical datasets and integrate them to elucidate their control over the mineralization and seismicity and therefrom identify the probable target areas for mineral exploration and probable seismogenic lineaments/faults of the study area (Figure 1)

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Summary

INTRODUCTION

Metallic mineral deposits were found mostly in fold closures, faults / lineaments and their intersections. In the earlier studies lineaments were mapped from field, aerial and satellite remote sensing images, gravity and magnetic datasets. The advanced virtues available with modern Remote Sensing and GIS technology like 3D visualization of SRTM revealed topography which enhances the lineaments and evaluation of depth persistence of the lineaments using the Digital Elevation Models (DEM) of geophysical datasets to explore its control over resources and hazards have not been done. The present study has been carried out to map the lineaments at surface, shallow subsurface and deep seated levels using Remote Sensing and geophysical datasets and integrate them to elucidate their control over the mineralization and seismicity and therefrom identify the probable target areas for mineral exploration and probable seismogenic lineaments/faults of the study area (Figure 1)

Surface Lineaments
Shallow Subsurface Lineaments
15 Earthquake epicenters in close proximity to the category-2 lineaments
DISCUSSION
CONCLUSION
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