Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/15051
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dc.date.accessioned2014-01-15T05:50:40Z-
dc.date.available2014-01-15T05:50:40Z-
dc.date.issued2014-01-15-
dc.identifier.urihttp://hdl.handle.net/10603/15051-
dc.description.abstractThis thesis is concerned with the development and application of certain recent remote sensing based approaches to locate and characterize iron ore, limestone and bauxite in the state of Tamilnadu, south India. The unique spectral characteristics of carbonate (limestone) and alumina (bauxite) and the existence of dedicated remote sensing sensors such as ASTER and Hyperion to map these minerals have encouraged the use of multispectral and hyperspectral remote sensing as a mineral exploration tool in this research. The methodology involves preparation of ASTER ratio maps such as ferrous mineral abundance, iron oxide abundance and ferrous silicate abundance to understand the distribution of iron rich components in Kanjamalai Hills. NDVI map is prepared followed by vegetation masking with the rescaled NDVI / DN values from 50 to 255 for vegetation. Image fusion using CARTOSAT-1 and ASTER images resulted in highlighting the additional/un-identified magnetite bands. There are 5 to 6 elliptical magnetite bands in the Kanjamalai Hill. The ferrous mineral abundance maps helped in highlighting the ferrous mineral present in the Kanjamalai hill and the magnetite ridges are clearly visible in the vegetation masked map. It is thus inferred that mineral mapping and grade assessment can be accomplished accurately using appropriate hyperspectral datasets and multispectral image analysis. Though improved spectral resolution certainly aids in identifying specific minerals based on their spectral response at narrow wavelengths, it is now inferred that a generalized methodology for mineral exploration cannot exist. Since the controls of ore-localisation differ from mineral to mineral, it is further inferred from this research that the approach to remote sensing based exploration will also vary according to the nature of ore-localisation. newline newline newlineen_US
dc.format.extentxxv, 288en_US
dc.languageEnglishen_US
dc.relation350en_US
dc.rightsuniversityen_US
dc.titleHyperspectral and multispectral approaches for exploration and charactrisation of certain deposits of bauxite iron ore and limestone in South Indiaen_US
dc.creator.researcherSarunjith K Jen_US
dc.subject.keywordHyperspectral approach, bauxite iron ore, limestone, India, Tamil Nadu, Kanjamalai Hills, ASTER images, NDVI mapen_US
dc.contributor.guideSanjeevi, Sen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Science and Humanitiesen_US
dc.date.registeredn.d.en_US
dc.date.completed2012en_US
dc.date.awardedn.d.en_US
dc.format.dimensions23.5 cm x 15 cmen_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Science and Humanities

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02_certificates.pdf902.93 kBAdobe PDFView/Open
03_abstract.pdf19.79 kBAdobe PDFView/Open
04_acknowledgement.pdf16.39 kBAdobe PDFView/Open
05_contents.pdf58.07 kBAdobe PDFView/Open
06_chapter 1.pdf877.3 kBAdobe PDFView/Open
07_chapter 2.pdf179.31 kBAdobe PDFView/Open
08_chapter 3.pdf3.56 MBAdobe PDFView/Open
09_chapter 4.pdf14.19 MBAdobe PDFView/Open
10_chapter 5.pdf15.5 MBAdobe PDFView/Open
11_chapter 6.pdf3.86 MBAdobe PDFView/Open
12_chapter 7.pdf62.68 kBAdobe PDFView/Open
13_chapter 8.pdf30.2 kBAdobe PDFView/Open
14_references.pdf132.25 kBAdobe PDFView/Open
15_publications.pdf17.26 kBAdobe PDFView/Open
16_vitae.pdf15.15 kBAdobe PDFView/Open


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