Paper
5 October 2017 Demarcation of mineral rich zones in areas adjoining to a copper prospect in Rajasthan, India using ASTER, DEM (ALOS) and spaceborne gravity data
Vivek K. Sengar, P. K. Champati Ray, Shovan L. Chattoraj, A. S. Venkatesh, R. Sajeev, Purnima Konwar, Shailaja Thapa
Author Affiliations +
Abstract
The objective of this work is to identify the potential zones for detailed mineral exploration studies in areas adjoining to a copper prospect using Remotely Sensed data sets. In this study visualization of ASTER data has been enhanced to highlight the mineral-rich areas using various remote sensing techniques such as colour composites and band ratios. VNIR region of ASTER is significant to detect iron oxides while, clay minerals, carbonates and chlorites have characteristic absorption in the SWIR wavelength region. Therefore, an attempt has been made to target the mineral abundant regions through ASTER data processing. Height based information was extracted using high-resolution ALOSDEM to analyse the topographical controls in the region considering the fact that mineral deposits often found associated with geological structures and geomorphological units. Gravity data was used to generate gravity anomaly map which gives clues about subsurface density differences. In this context, base metal ores may show anomalous (high) gravity values in comparison to the non-mineralised areas. Outputs from all the data sets were analysed and correlated with the geological map and available literature. Final validation of results has been done through proper ground checks and laboratory analysis of rock samples collected from the litho-units present in the study area. Based on this study some new areas have been successfully demarcated which may be potential for base metal exploration.
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Vivek K. Sengar, P. K. Champati Ray, Shovan L. Chattoraj, A. S. Venkatesh, R. Sajeev, Purnima Konwar, and Shailaja Thapa "Demarcation of mineral rich zones in areas adjoining to a copper prospect in Rajasthan, India using ASTER, DEM (ALOS) and spaceborne gravity data", Proc. SPIE 10428, Earth Resources and Environmental Remote Sensing/GIS Applications VIII, 104281F (5 October 2017); https://doi.org/10.1117/12.2277526
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KEYWORDS
Minerals

Copper

Short wave infrared radiation

Absorption

Carbonates

Composites

Remote sensing

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