The program involved reconnaissance investigation in two conjugate assets encompassing 750 sq. km. The objective of the study was to identify mineralization zones based on hydrothermal signatures in regional scape, collection of representative samples & scoping for further exploration. Scope of work entailed the following,

Extraction of geological features from satellite data using multispectral datasets such as ASTER & LANDSAT and terrain features from satellite-based DEM. Cultural features were mapped using high resolution satellite data.
Analysis of satellite data for identifying hydrothermal alteration signatures as an aid to targeting zones of mineralization.
Using Priority Zone Classification scheme to identify probable mineral potential zones in a GIS platform.
Ground based reconnaissance survey, preliminary assessment of geological conditions, mining practices, collection of surface samples & assaying.
Recommendations to further investigation on ground based on a comprehensive review of the results.

GIS based priority zone classification scheme was created by distributing entire area in a 500 m x 500 m regular grid. The grids were prioritized according to the mineral abundance of signatures from various routines & its relation to geological structures. Out of the total of 3,339 grids being analysed, 12 grids are categorised under ‘Very High Probability’, 48 under ‘High Probability’, 369 under ‘Moderate’ & 352 under ‘Low probability’. Most of these grids are suitably clubbed to define 27 zones which shall be seeds for further investigations.

A total of 71 samples were collected that returned assay values ranging between <1 ppb to a high of 65736 ppb Au, while Cu concentration was estimated between 0.75% to a high of 28.05%.

Remote Sensing analysis of the multispectral datasets emerged a vital contribution in defining the mineral zones that allowed a quick review of mineral potential & targeting zones of interest for further exploration.