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A GIS approach in Mineral Targeting with Narayanpet Kimberlite Spatial Dataset
Geophysical Surveys
Multidisciplinary studies involving detailed satellite imagery, aerial photo interpretation and ground geophysical surveys were initiated in the NKF to locate new kimberlite occurrences. Regional gravity and magnetic surveys carried out (Reddy et al., 2001) and interpretation of satellite and aerial photo data distincty brought out the co-axial relations existing between geophysical anomaly linears and major lineaments / faults (Rao, 2001).
The computer based dataset for the present work is derived from the analogue maps generated during the actual surveys and field activities in the NKF.
Present Work
Methodology
The present GIS Project involves the following stages :
- Data capture from analogue maps
- Derivation of theme based evidence maps
- Spatial analysis using Bayesian Probability Principle coupled with Index Overlay Model for mineral targeting
Data Capture: Approach in search of new targets in an area is mostly based on the philosophy of 'known to unknown'. In this respect the first step was to bring out all the appropriate data together into GIS database. The foresaid maps were digitised into a GIS software 'Arc/Info version 8.2'. The software captures data into workspace-coverage storage model.
Two types of datasets i.e., evidence set and over plotting set, are delineated among the captured spatial dataset. The evidence spatial dataset comprising those discrete geographic objects evidencing the causative role in the emplacement process or defining the signatures of probable locales of kimberlite and allied rocks in NKF. And thus they are of predictor nature in prognostication process. The spatial database from the evidence set are :
- Lithology
- Structure - faults/fractures and lineaments,
- Gravity contours interpreted to high and low axes - represented as lines,
- Ground magnetic contours interpreted to high and low anomalies - represented as lines
The other set represents the existing kimberlite prospects in the NKF: The database of 33 discrete known bodies of kimberlite and allied rocks.

Fig.2 : The Narayanpet Kimberlite dataset.
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