COMPREHENSIVE STUDY OF HYPERSPECTRL SIGNATURES, PETROGRAPHY AND EDX ANALYSIS ON GOLD BEARING LITHO UNITS OF KEMPINAKOTE, NUGGIHALLI SCHIST BELT, DHARWAR CRATON, KARNATAKA, INDIA

Abstract

The Archean Green Stone Belts (AGSB) having enormous metalliferous deposits like gold , copper, silver, iron and other precious gem stones which are also called as schist belts of Dharwar Craton. The study area Kempinakote lies in southern most part of Nuggihalli Schist Belt of Hassan district. The schist belt consists commonly two rock types Amphibolites and Ultramafics with their variants. Gold is occurring at or near the amphibolite-ultramafic contact. The Study area comes to Hassan district, Random samples were collected such as Gold bearing Amphibolite schist, Amphibolite, Diorite, Gabbro through GTC (Ground Truth Check). The study carried out by Geological, Petrological, Ore microscopic, SEM-EDX and Hyperspectral signatures using advent high-tech tools of Spectro- Radiometer (Spectral Evolution SR-3500) instrument, DARWin SP.V.1.3.0 and GIS software's. The spectral signatures of the collected samples were derived in laboratory environment to achieve better accuracy. Hyperspectral (350-2500nm) were developed as works mainly on physicochemical and optical properties of the litho unit which help in mapping of gold mineralization at lithological contacts and mineralized zones of amphibolites and ultramafic rocks. The final results highlight the gold specks were noticed through ore microscopy and presence of gold is confirmed through SEM-EDX studies and also spectral characters of Gold bearing amphibolites schist and associated rocks for better mapping of Kempinakote area of Hassan district in Precambrian basement rocks and similar terrains of Dharwarcraton.

Authors and Affiliations

ABRAR AHMED, MARUTHI N. E and H. T. BASAVARAJAPPA

Keywords

Related Articles

IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK DATA MINING ALGORITHM: A CASE STUDY OF BIRTH REGISTRATION DATA

The scope of different applications of Artificial Neural Network is immense. In recent times, Artificial Neural Network has been used in different type of applications. The use of Artificial Neural Network in Medical S...

AN APPROACH FOR PREDICTION OF CROP YIELD USING MACHINE LEARNING AND BIG DATA TECHNIQUES

Agriculture is the primary source of livelihood which forms the backbone of our country. Current challenges of water shortages, uncontrolled cost due to demand-supply, and weather uncertainty necessitate farmers to be...

DIGITAL INDIA - THE GREAT DREAM

This paper is an attempt to understand various portals and mobile Apps available for the empowerment of rural folk in India. Digital India programme envisages a digital empowering of the citizens of India i.e. making t...

ENHANCED CLUSTER HEAD MANAGEMENT IN LARGE SCALE WIRELESS SENSOR NETWORK USING PARTICLE SWARM OPTIMIZATION (PSO) ON THE BASIS OF DISTANCE, DENSITY & ENERGY

Wireless Sensor Networks (WSNs) are utilized for a plethora of applications such as weather forecasting, monitoring systems, surveillance, and so on. The critical issues of the WSN are energy constraints, limited memor...

THE MECHANISMS OF ADAPTING THE PEDAGOGICAL CONTENT TO THE LEARNER'S PROFILE IN A DYNAMIC CEHL ENVIRONMENT

Building quality educational resources with new technologies requires offering learners and teachers a simple computing environment that would be adapted and would allow it to use its pedagogy in respondent contents of...

Download PDF file
  • EP ID EP46558
  • DOI 10.34218/IJCET.10.3.2019.006
  • Views 181
  • Downloads 0

How To Cite

ABRAR AHMED, MARUTHI N. E and H. T. BASAVARAJAPPA (2019). COMPREHENSIVE STUDY OF HYPERSPECTRL SIGNATURES, PETROGRAPHY AND EDX ANALYSIS ON GOLD BEARING LITHO UNITS OF KEMPINAKOTE, NUGGIHALLI SCHIST BELT, DHARWAR CRATON, KARNATAKA, INDIA. International Journal of Computer Engineering & Technology (IJCET), 10(3), -. https://europub.co.uk/articles/-A-46558