Hyperspectral Remote Sensing Approach for Lithological Discrimination by ASTER Data – A Case Study of Thenkalmalai and Odhimalai Hills, Tamilnadu, India

Kuldeep Singh, K. Rajaprian, M. Vinothkumar, R.S. Kumar

Abstract


Hyperspectral studies are the recent advanced studies in the field of remote sensing. In present study it is focused on lithological mapping of rocks found in and around Thenkalmalai and Odhimalai along Moyer–Bhavani shear zone near Sirumugai. Hyperspectral sensor is also known as image spectrometer (spectroradiometer) which collects image of a scene in tens to hundreds of contiguous narrow spectral bands nearly simultaneously. The spectral features are acquired images which are significant in the identification of minerals, vegetation condition and more; moreover every material is having their own unique spectral signature. It is a quantitative measurement of the properties of an object at one or more wavelengths and this spectral signature of the rocks depends upon the physical and chemical properties. In the present study the Advance Spaceborne Thermal Emission and Reflectance Radiometer (ASTER) data were used for the lithological classification of the study area.


Keywords


Moyar-Bhavani Shear Zone, Mineral Mapping, Hyperspectral, Remote Sensing, Anorthosite, Gabbro

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