Record Details

Spectral pathways for effective delineation of high-grade bauxites: a case study from the Savitri River Basin, Maharashtra, India, using EO-1 Hyperion data

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Spectral pathways for effective delineation of high-grade bauxites: a case study from the Savitri River Basin, Maharashtra, India, using EO-1 Hyperion data
 
Creator KUSUMA, KN
RAMAKRISHNAN, D
PANDALAI, HS
 
Subject BIDIRECTIONAL REFLECTANCE SPECTROSCOPY
AIRBORNE HYPERSPECTRAL DATA
IMAGING SPECTROMETRY
WESTERN-AUSTRALIA
LITHOLOGIES
GENERATION
COMPLEX
NOISE
EARTH
 
Description Bauxite, the only source of aluminium, is an aggregate of minerals, most of which are oxides and hydroxides of aluminium and iron such as gibbsite, bohemite, goethite and haematite. Bauxite is used in the chemical and refractory industries and its quality is controlled by the presence of impurities such as iron and silica. Bauxite commonly occurs together with iron-rich laterites as alteration products of parental igneous and metamorphic rocks. Aluminium-rich bauxites grade towards highly ferruginous laterites with a transitional Al-rich laterites or ferruginous bauxite, herein described as Al-laterites. In the Savitri River Basin, bauxite contains 58-75% gibbsite, 6-11% goethite and 19-26% haematite, whereas the mineralogy of Al-laterites and Fe-laterites are dominated by haematite (29-68%) and goethite (6-25%) with subordinate amounts of gibbsite. Conventional techniques to demarcate the high-grade pockets of bauxites rich in gibbsite are tedious, time consuming and involve detailed field sampling and geochemical analyses. Our work illustrates how spectral properties of these three litho-units can be effectively utilized in mapping of high-grade bauxites occurring over wide areas using hyperspectral remote sensing (HRS). The methodology adopted herein involves generation of noise-free field spectral database of target materials, linear unmixing of field spectra for constituent minerals, classification of preprocessed Hyperion images using field spectra and finally accuracy assessment for ore grade estimation. It is observed that bauxite mapping using Hyperion data and noise-free field spectra yielded results that correlate well with the chemistry and mineralogy of representative samples. By adopting the above procedure, we achieved classification accuracies of 100%, 71% and 89% for bauxite, Al-laterite and Fe-laterite classes, respectively.
 
Publisher TAYLOR & FRANCIS LTD
 
Date 2014-10-16T05:23:04Z
2014-10-16T05:23:04Z
2012
 
Type Article
 
Identifier INTERNATIONAL JOURNAL OF REMOTE SENSING, 33(22)7273-7290
0143-1161
1366-5901
http://dx.doi.org/10.1080/01431161.2012.700131
http://dspace.library.iitb.ac.in/jspui/handle/100/15326
 
Language en