Analysis of Hyperion Satellite Data for Discrimination of Banded Magnetite Quartzite in Godumalai Hill, Salem District, Tamil Nadu, India
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1. | Title | Title of document | Analysis of Hyperion Satellite Data for Discrimination of Banded Magnetite Quartzite in Godumalai Hill, Salem District, Tamil Nadu, India |
2. | Creator | Author's name, affiliation, country | S. Aravindan; Department of Earth Sciences, Annamalai University, Annamalai Nagar, Tamil Nadu; India |
2. | Creator | Author's name, affiliation, country | B. Poovalinga Ganesh; Center for Research and Development, PRIST University, Vallam, Thanjavur, Tamil Nadu; India |
3. | Subject | Discipline(s) | Remote sensing applications in Geosciences |
3. | Subject | Keyword(s) | Hyper Spectral Analysis; Magnetite; Spectral Angle Mapping; Matched Filtering |
3. | Subject | Subject classification | Hyperspectal tools for |
4. | Description | Abstract | In order to determine mineralogy of rock and soil samples, reflectance and emittance spectroscopy in the near-infra red and short-wave infra-red is used extensively and found to be inexpensive. Hyper spectral remote sensing satellite data are found to be prospective to deliver in depth physico-chemistry like mineralogy, chemistry, morphology of the earth’s surface. Therefore hyper spectral data is useful for mapping potential host rocks, alteration assemblages and mineral characteristics. In the present study EO-1, Hyperion data had been used for delineating magnetite mineral in Godumalai hill, Salem region, Tamil Nadu, India. The requirements for extracting magnetite from Hyperion images is to be first compensated for atmospheric effects using flag mask correction, cross track illumination correction and FLAASH model. Minimum Noise Fractionation transformation was applied to reduce the data noise and for extracting the extreme pixels. Some pure pixel end member for the target mineral and backgrounds were used in this study to account for the Spectral Angle Mapping & matched filtering techniques and the arrived results were validated with field study. Those mapping techniques have proved that the magnetite mineral can be mapped with high precaution by Hyperion preprocessing adopting methods. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | Liquid Proplesion Lab -Dept of Aerospace Atmospjeric C, USA |
7. | Date | (YYYY-MM-DD) | 2014-05-23 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | Academic, Image processing and with in aerosol models |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-229 |
11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 3 (Year 2014) |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | used for mapping Iron ores by using plassibility, Envi s.ware tools like PPI, MTNF, SAM etc used, of field , lamb and imaging spectroscopic |
15. | Rights | Copyright and permissions |
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