The study demonstrates the application of AVIRIS NG hyperspectral data to identify and map the dominant minerals of the Nagarjuna Sagar Left Bank Canal area and Patancheru area, Southern Telangana Zone, Telangana state, India. The individual AVIRIS NG Hyperspectral image strips were processed with ENVI 5.3 software geocoded, mosaicked and the data is subjected to MNF, performed PPI, n-D visualizer and classification (mapping) for secondary clay minerals was attempted using the Spectral Angle Mapper algorithm. Each mineral spectra have unique absorption value. Clay group (montmorillonite, kaolinite, illite) identified through AVIRIS-NG Hyperspectral remote sensing data, matched with USGS (standard spectral library) spectral library spectra. Using these pixels as end members, the classification of data for clay minerals is attempted and derived map of the clay minerals. Based on the spectral matching of sample points for smectite, kaolinite and illite, AVIRIS NG Hyperspectral image has been classified with SAM. Nagarjuna Sagar Left Bank Command area and Patancheru area, SAM classified image depicted that smectite> kaolinite >illite. The occurrence of these minerals was further confirmed by X-ray diffraction (XRD) analysis. The clay fraction of study area exhibited the characteristic peaks at smectite, kaolinite and illite/mica. Semi-quantitative analysis of clay minerals by means of X-ray diffraction also revealed that smectite was the dominant clay in both the study areas followed by kaolinite and illite/mica. The results of the study areas showed that spectral information data from the AVIRIS NG images can be used for generating the spectral reflectance of clay minerals and it can provide a cost effective method of identifying and mapping the clay minerals.