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Mapping hydrothermal altered mineral deposits using Landsat 7 ETM+ image in and around Kuju volcano, Kyushu, Japan
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  • 作者:Bodruddoza Mia (12) bodruddoza@mine.kyushu-u.ac.jp
    Yasuhiro Fujimitsu (3)
  • 关键词:Mapping – ; hydrothermal alteration – ; Landsat 7 ETM+ – ; fumaroles – ; Kuju volcano
  • 刊名:Journal of Earth System Science
  • 出版年:2012
  • 出版时间:August 2012
  • 年:2012
  • 卷:121
  • 期:4
  • 页码:1049-1057
  • 全文大小:1.1 MB
  • 参考文献:1. Abdelsalam M G, Stern R J and Berhane W G 2000 Mapping gossans in arid regions with Landsat TM and SIR-C images: The Beddaho alteration zone in northern Eritrea; J. African Earth Sci. 30(4) 903–916.
    2. Beane R E 1982 Hydrothermal alteration in silicate rocks, southwestern North America; In: Advances in Geology of the Porphyry Copper Deposits, Southwestern North America: Tucson (ed.) Titley S R, Univ. Ariz. Press, Chapter 6.
    3. Crosta A, Moore J McM 1989 Enhancement of Landsat Thematic Mapper imagery for residual soil mapping in SW Minais Gerais State, Brazil: A prospecting case history in Greenstone belt terrain; International Proceedings of the Seventh Erim Thematic Conference: Remote Sensing for Exploration Geology, pp. 1173–1118.
    4. Goetz A F, Rock F H and Rowan B N 1983 Remote sensing for exploration: An overview; Eco. Geol. 78 573–590.
    5. Hunt G R 1979 Near Infrared (1.3–2.4 μm) spectra of alteration minerals – potential for use in remote sensing; Geophysics 44 1974–1986.
    6. Hunt G R 1980 Electromagnetic radiation – the communication link in remote sensing; In: Remote Sensing in Geology (eds) Siegal B S and Gillespie A R (New York: Wiley).
    7. Hunt G R and Ashley R P 1979 Spectra of altered rocks in the visible and near infrared; Eco. Geol. 74 1613–1629.
    8. Jensen J R 1996 Introductory digital image processing: A remote sensing perspective; 2nd edn, Prentice Hall Series in Geographic Information Science; 318p.
    9. Jin X, Paswaters S and Cline H 2009 A comparative study of target detection algorithms for hyperspectral imagery; In: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, Proceedings of SPIE 7334 73341W1–73341W12.
    10. Kamata H and Kodama K 1994 Tectonics of an arc-arc junction: An example from Kyushu Island at the junction of the Southwest Japan Arc and the Ryukyu Arc; Tectonophys. 233 69–81.
    11. Kamata H, Hoshizumi H, Kawanabe Y, Ito J, Watanabe K and Yokoyama S 1996 Geology of small-scale pyroclastic flow deposits and a high-temperature debris-avalanche deposit from Kuju volcano, Japan; Volcanol. Soc. Japan (Abstract) 2 121.
    12. Karnieli A, Ben-Dor E, Bayarjargal Y and Lugas R 2004 Radiometric saturation of Landsat-7 ETM+data over the Negev Desert: Problems and solutions; Int. J. Appl. Earth Obs. Geoinf. 5 219–237.
    13. Lillesand T M, Kiefer R W and Chipman J W 2004 Remote sensing and image interpretation; 5th edn, John Wiley and Sons Inc., New York, ISBN 0-471-25515-7, 763p.
    14. Loughlin W P 1991 Principal component analysis for alteration mapping; Photogrammetric Eng. Rem. Sens. 57(g) 1163–1169.
    15. Madani A, Abdel Rahman E M, Fawzy K M and Emam A 2003 Mapping of the hydrothermal alteration zones at Haimur Gold Mine Area, South Eastern Desert, Egypt using remote sensing techniques; The Egyptian J. Rem. Sens. Space Sci. 6 47–60.
    16. Markham B L, Dabney P W, Storey J C, Morfitt R, Knight E J, Kvaran G and Lee K 2008 Landsat Data Continuity Mission Calibration and Validation; ASPRS Publications, Colorado, USA.
    17. Mather P M 1987 Computer Processing of Remotely Sensed Images: An Introduction; John Wiley and Sons; ISBN: 0-471-9064-4.
    18. Poormirzaee R and Oskouei M M 2009 Detection minerals by advanced spectral analysis in ETM+ imagery; Proceeding of 7th Iranian Student Conference Mining Engineering, Tabriz, pp. 111–119.
    19. Ramadan T M, Abdelsalam M G and Stern R J 2001 Mapping gold-bearing massive sulfide deposits in the neoproterozoic Allaqi Suture, Southeast Egypt with Landsat TM and SIR-C/X SAR images; Photogrammetric Eng. Rem. Sens. 67(4) 491–497.
    20. Ramadan T M and Kontny A 2004 Mineralogical and structural characterization of alterationzones detected by orbital remote sensing at Shalatein District, SE Desert, Egypt; J. African Earth Sci. 40 89–99.
    21. Rowan L C 1983 Near-infrared iron absorption bands: Applications to geologic mapping and mineral exploration; In: Remote sensing (eds) Watson and Regan; Society of Exploration in Geophysicists, Reprint Series 3 250–268.
    22. Segal D B 1983 Use of Landsat multispectral scanner data for definition of Limonitic exposures in heavily vegetated areas, EL Paso, Texas; Econ. Geol. 78 711–722.
    23. Singh A and Harrison A 1985 Standardized principal components; Int. J. Rem. Sens. 6(6) 883–896.
    24. Taranik D L, Kruse F A, Goetz A F H and Atkinson W W 1991 Remote sensing of ferric iron minerals as guides for gold exploration; Proceedings Eighth Thematic Conference on Geologic Remote sensing, Denver, Colorado, pp. 197–228.
    25. Yetkin E 2003 Alteration Mapping by Remote Sensing: Application to Hasanda-Melendiz Volcanic Complex, M. Sc. Thesis, Middle East Technical University, Ankara, Turkey, 97p.
  • 作者单位:1. Department of Earth Resources Engineering, Graduate School of Engineering, Kyushu University, Kyushu, Japan2. Department of Geology, University of Dhaka, Dhaka-1000, Bangladesh3. Department of Earth Resources Engineering, Kyushu University, Kyushu, Japan
  • ISSN:0973-774X
文摘
To evaluate the conventional methods for mapping hydrothermal altered deposits by using Landsat 7 ETM+ image in and around Kuju volcano is the prime target of our study. The Kuju volcano is a mountainous composite which consists of hornblende-andesite lava domes and associated lava flows. We used the colour composite, band ratio, principal component analysis, least square fitting and reference spectra analysis methods. The colour composite and band ratio methods showed very clearly the hydrothermal altered deposits of clay minerals, iron oxides and ferric oxides around the fumaroles. The principal component analysis using the Crosta technique also enabled us to represent undoubtedly the altered hydroxyl and iron-oxide mineral deposits of this region concentrating around the fumaroles. Least square fitting method illustrated the goethite, hematite and clay alteration region. Finally the target detection method for reference spectral analysis by using ENVI 4.3 detected the representative hydrothermal altered minerals around Kuju volcano fumaroles area. Therefore, all the methods showed high efficiency for mapping hydrothermal altered deposits especially iron-oxide minerals such as hematite, goethite and jarosite, which are alteration products of hydrothermal sulfides around the fumaroles.

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