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.
[1]
P. Ramam.
The Bauxite Deposits of Anantagiri, Visakhapatnam District, Andhra Pradesh
,
1976
.
[2]
F. Kruse,et al.
Techniques Developed for Geologic Analysis of Hyperspectral Data Applied to Near-Shore Hyperspectral Ocean Data **
,
1997
.
[3]
John W. Salisbury,et al.
Visible and near infrared spectra of minerals and rocks: IX. Basic and ultrabasic igneous rocks
,
1974
.
[4]
Yosio Edemir Shimabukuro,et al.
The least-squares mixing models to generate fraction images derived from remote sensing multispectral data
,
1991,
IEEE Trans. Geosci. Remote. Sens..
[5]
P. Ramam.
Geomorphic Evolution and its Significance in Exploration Planning of the East Coast Bauxite Deposits of India
,
1981
.