Hydrothermal Alteration Zones Identification Based on Remote Sensing Data in the Mahin Area, West of Qazvin Province, Iran

The Mahin area is a part of Tarom- Hashtjin zone that located in west of Qazvin province in northwest of Iran. Many copper and base metals ore deposits are hosted by this zone. High potential localities identification in this area is very necessary. The objective of this research, is finding hydrothermal alteration zones by remote sensing methods and best processing technique of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. Different methods such as band ratio, Principal Component Analysis (PCA), Minimum Noise Fraction (MNF) and Least Square Fit (LS-Fit) were used for mapping hydrothermal alteration zones.




References:
[1] A. G. Dehnavi, R. Sarikhani and D. Nagaraju, Image Processing and
Analysis of Mapping Alteration Zones In environmental research, East
of Kurdistan, Iran, World Applied Sciences Journal 11 (3): pp. 278-283,
2010.
[2] H. Azizi, M.A. Tarverdi and A. Akbarpour , Extraction of hydrothermal
alterations from ASTER SWIR data from east Zanjan, northern Iran,
Advances in Space Research, pp. 99-109, March 2010.
[3] A. I. Lianes Castro, An assessment on the potential of mapping
hydrothermal alteration from ASTER short wavelength infrared image
data based on image simulation experiments, International institute for
geo-information science and earth observation Enschede, The
Netherlands, February 2004.
[4] Y. Ninomiya, Mapping quartz, carbonate minerals and mafia-ultramafic
rocks using remotely sensed multispectral termal infrared ASTER data.
Proceedings of SPIE, 4710, pp. 191-202, 2002.
[5] B. T. San, E. O. Sumer and B. Gurcay, Comparison of band ratioing and
spectral indices methods for detecting alunite and kailinite minerals
using ASTER data in Biga region, Turkey, Geo-Imagery Bridging
Continents XXth ISPRS Congress, Istanbul, Turkey, July 2004.
[6] J.M. Abrams, Remote sensing for porphyry copper deposits in Southern
Arizona. Economic Geology, 78, pp. 591-604, 1983.
[7] M. Hashim, M. Pournamdary and A. Beiranvnd Pour, Processing and
interpretation of advanced space-borne thermal emission and reflection
radiometer (ASTER) data for lithological mapping in ophiolite complex,
International Journal of the Physical Sciences Vol. 6(28), pp. 6410-6421,
November 2011.
[8] A.P. Crosta, C.R. DE Souza Filho, F. Azevedo, and C. Brodie, Targeting
key alteration minerals in epithermal deposit in Patagonia, Argentina,
using ASTER imagery and principal component analysis. Int. J. Remote
Sens., 10(21): 4233-4240, 2003.
[9] M. Honarmand, H. Ranjbar, and J. Shahabpour, Application of Spectral
Analysis in Mapping Hydrothermal Alteration of the Northwestern Part
of the Kerman Cenozoic Magmatic Arc, Iran, University of Tehran,
Journal of Sciences, Islamic Republic of Iran 22(3): 221-238, 2011.
[10] W. Loughlin, Principal component analysis for alteration mapping.
Photogramm, Eng. Remote Sens., 57(9): 1163-1169, 1991.
[11] J. R. Ruiz-Armenta , and R.M. Prol-Ledesma, Techniques for enhancing
the spectral response of hydrothermal alteration minerals in Thematic
Mapper images of central Mexico. Int. J. Remote Sens., 19(10):
pp.1981-2000, 1998.
[12] A.P. Crosta and J.M. Moore, Enhancement of Landsat Thematic
Mapper imagery for residual soil mapping in SW Minais Gerais State,
Brazil: a prospecting case history in Greenstone Belt Terrain. In
Proceedings of the Seventh Thematic Conference on Remote Sensing for
Exploration Geology, 2- 6 October, 1989.
[13] M. Khaleghi, and H. Ranjbar, Alteration Mapping for Exploration of
Porphyry Copper Mineralization in the Sarduiyeh Area, Kerman
Province, Iran, Using ASTER SWIR Data, Australian Journal of Basic
and Applied Sciences, 5(8): pp. 61-69, 2011.
[14] J.W. Boardman, F.A. Kruse and R.O. Green, Mapping target signatures
via partial unmixing of AVIRIS data, Summaries, Proceedings of the
Fifth JPL Airborne Earth Science Workshop, Pasadena, California, JPL
Publ., 95-1, 1: 23-26. 1995.
[15] A.A. Green, M. Berman, P. Switzer and M.D. Craig, A transformation
for ordering multispectral data in terms of image quality with
implications for noise removal, IEEE Tran. Geo. Rem. Sen., 26(1):
pp.65-74, 1988.
[16] A. Beiranvnd Pour, M. Hashim and M. Marghany, Using spectral
mapping techniques on short wave infrared bands of ASTER remote
sensing data for alteration mineral mapping in SE Iran, International
Journal of the Physical Sciences Vol. 6(4), pp. 917-929, 2011.
[17] H. Asadi Haroni and A. Lavafan, Integrated Analysis of ASTER and
Landsat ETM Data to Map Exploration Targets in the Muteh Gold -
Mining Area, IRAN, 5th International Symposium on Spatial Data
Quality, Enschede, The Netherlands, June 2007.
[18] R.Poormirzaee and M. Mohammady Oskouei, Use of spectral analysis
for detection of alterations in ETM data, Yazd, Iran, Applied Geomatics,
pp. 147-154, 2010.