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Lithological Mapping in the Eastern Part of the Central Iranian Volcanic Belt Using Combined ASTER and IRS data

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Abstract

The study area is located in the eastern part of the central Iranian volcanic belt. Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) and Indian Remote Sensing Satellite (IRS ) pan images were used for applying several image classification methods for lithological mapping. ASTER visible-near infrared and shortwave infrared bands were sharpened using IRS pan image. We used classification methods such as Maximum likelihood, Spectral Angle Mapper (SAM) and Spectral Information Divergence (SID) in order to evaluate the usefulness of these methods for geological mapping. The classification results showed that MLC has the best accuracy and the classified image closely resembles the previously prepared geology map of the area.

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Authors and Affiliations

  1. Kusha-Maadan Consulting Engineering Company, Palestine Ave, Shiraz, Iran

    Seyed Mohammad Hadi Hadigheh

  2. Department of Mining Engineering, Shahid Bahonar, University of Kerman, Kerman, Iran

    Hojjatollah Ranjbar

Authors
  1. Seyed Mohammad Hadi Hadigheh
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  2. Hojjatollah Ranjbar
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Correspondence to Seyed Mohammad Hadi Hadigheh.

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Hadigheh, S.M.H., Ranjbar, H. Lithological Mapping in the Eastern Part of the Central Iranian Volcanic Belt Using Combined ASTER and IRS data. J Indian Soc Remote Sens 41, 921–931 (2013). https://doi.org/10.1007/s12524-013-0284-1

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  • DOI: https://doi.org/10.1007/s12524-013-0284-1

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