Spectral Library for Various Rocks and Minerals of Salem District: A Comparative Study and Validation with ASTER Data
Documentation of hyperspectral data of selected rocks and minerals and validation of the measured spectral values with ASTER data are presented in this chapter. Spectral data were generated by using the instrument SVC HR 1024 Spectroradiometer with a wave
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Spectral Library for Various Rocks and Minerals of Salem District: A Comparative Study and Validation with ASTER Data M. Sridhar and M. Muthukumar
Abstract Documentation of hyperspectral data of selected rocks and minerals and validation of the measured spectral values with ASTER data are presented in this chapter. Spectral data were generated by using the instrument SVC HR 1024 Spectroradiometer with a wavelength range of 350–2,500 nm. The spectra were compared with USGS and JHU spectral library. Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) data acquired in the Visible Near Infra Red (VNIR) and Short Wave Infra Red (SWIR) regions were used to evaluate the spectral discrimination of rocks and minerals. The SAM technique was used to detect the presence of minerals (e.g. Magnesite and Bauxite) in the study area and then the spectral library was validated with the SAM results.
Abbreviations ASTER SVC HR USGS JHU VNIR SWIR MNF PPI
Advanced Space-borne Thermal Emission and Reflection Radiometer Spectra Vista Corporation High Resolution United States Geological Survey John Hawkins University Visible Near Infra Red Short Wave Infra Red Minimum Noise Fraction Pixel Purity Index
M. Sridhar (*) Centre for Remote Sensing, Bharathidasan University, Tiruchirappalli-23, Tamilnadu, India e-mail: [email protected] M. Muthukumar Department of Rural Development, Gandhigram Rural Institute Deemed University, Dindigul, India Mu. Ramkumar (ed.), On a Sustainable Future of the Earth’s Natural Resources, Springer Earth System Sciences, DOI 10.1007/978-3-642-32917-3_8, # Springer-Verlag Berlin Heidelberg 2013
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SAM UV NIR InGaAs TIR PCA FLAASH IR JPL
8.1
Spectral Angle Mapper Ultra Violet Near Infra Red Indium gallium arsenide Thermal Infra Red Principle Compound Analysis Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes Infra Red Jet Propulsion Laboratory
Introduction
Imaging Spectroscopy acquires images in many very narrow, contiguous spectral bands throughout the visible, near IR, mid IR, and thermal IR portions of the spectrum (Lillesand et al. 2004). ASTER sensors measure reflected and emitted electromagnetic radiation from the Earth’s surface and atmosphere in 14 channels or bands. ASTER images were used for various geological studies all over the World; for example, spectral discrimination of hydrothermally altered-materials using SAM technique (Galvao et al. 2005), mapping the geology of an arid area through MNF, PPI, n-D Visualizer and SAM analysis (Qiu et al. 2006), identification of lithological boundaries (Gomez et al. 2005), targeting limestone and bauxite deposits by spectral unmixing (Sanjeevi 2008), regional mineral mapping (Kruse and Perry 2006), geological mapping (Stamoulis and Rogers 2003) and geomorphological and geological research using SAM classification method (Waldhoff et al. 2008). The processing of ASTER remote sensing data can thus be very useful tool for mapping earth’s surface features like rocks, minerals, water bodie
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