Please login first
Processing of AVIRIS-NG data for geological applications in southeastern parts of Aravalli fold belt, Rajasthan
* 1 , 1 , 2 , 1 , 1
1  Department of Geosciences, Indian Institute of Remote Sensing, Indian Space Research Organization, Dehradun, 248001, India
2  Kerala University of Fisheries and Ocean studies, Kochi, Kerala, 682506, India


Advanced techniques using high resolution hyperspectral remote sensing data has recently evolved as an emerging tool having potential to aid mineral exploration. In this study, pertinently, five mosaicked scenes of Airborne Visible InfraRed Imaging Spectrometer-Next Generation (AVIRIS-NG) hyperspectral data of southeastern parts of Aravalli Fold belt in Jahazpur area, Rajasthan have been processed. The exposed Proterozoic rocks in this area is of immense economic and scientific interest because of richness of poly-metallic mineral resources and their unique metallogenesis. Analysis of high resolution multispectral satellite image reveals that there are many prominent lineaments which acted as potential conduits of hydrothermal fluid emanation, some of which resulted in altering the country rock. This study takes cues from studying those altered minerals to enrich our knowledge base on mineralized zones. In this imaging spectroscopic study, we have, thus, identified different hydrothermally altered minerals consisting of hydroxyl, carbonate and iron-bearing species. Spectral signatures (image based) of minerals such as Kaosmec, Talc, Kaolinite, Dolomite and Montmorillonite were derived in SWIR (Short wave infrared) region while Iron bearing minerals such as Goethite and Limonite were identified in VNIR (Visible and Near Infrared) region of electromagnetic spectrum. Validation of the target minerals were done by subsequent ground truthing and XRD analysis. The altered end members are further mapped by Spectral Angle Mapper (SAM) and Adaptive Coherence Estimator (ACE) techniques to detect target minerals. Accuracy assessment is reported to be 86.82% and 77.75% for SAM and ACE respectively. This study, hence, confirms that the AVIRIS-NG hyperspectral data provides better solution for identification of endmember minerals.

Keywords: AVIRIS-NG, hyperspectral data, SAM, ACE, mineral mapping, accuracy.