Paper
22 December 2006 Spectral unmixing of hyperspectral data to map bauxite deposits
Sanjeevi Shanmugam, P. V. Abhishekh
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Abstract
This paper presents a study about the potential of remote sensing in bauxite exploration in the Kolli hills of Tamilnadu state, southern India. ASTER image (acquired in the VNIR and SWIR regions) has been used in conjunction with SRTM - DEM in this study. A new approach of spectral unmixing of ASTER image data delineated areas rich in alumina. Various geological and geomorphological parameters that control bauxite formation were also derived from the ASTER image. All these information, when integrated, showed that there are 16 cappings (including the existing mines) that satisfy most of the conditions favouring bauxitization in the Kolli Hills. The study concludes that spectral unmixing of hyperspectral satellite data in the VNIR and SWIR regions may be combined with the terrain parameters to get accurate information about bauxite deposits, including their quality.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sanjeevi Shanmugam and P. V. Abhishekh "Spectral unmixing of hyperspectral data to map bauxite deposits", Proc. SPIE 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications, 64051N (22 December 2006); https://doi.org/10.1117/12.693862
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Minerals

Short wave infrared radiation

Vegetation

Mining

Aluminum

Reflectivity

Remote sensing

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