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Yajima, T. (2014) Aster Data Analysis Applied to Mineral Resource Exploration and Geological Mapping, Case Study Meiduk Area Located in the Kerman Province of Iran. A Dissertation for the Degree of Doctor of Sciences, Graduate School of Environmental Studies, Nagoya University, 20 p.

has been cited by the following article:

• TITLE: Alteration Mapping in Central Urumieh-Dokhtar Magmatic Assemblage of Iran Using ASTER and OLI Data

  AUTHORS: Farshad Khodadadi, Ramin Arfania

  KEYWORDS: Principal Component Analysis, Crosta Method, Spectral Feature Fitting, Alteration, Lineament

  JOURNAL NAME: Open Journal of Geology, Vol.7 No.8, August 24, 2017

  ABSTRACT: The study area is located on the Urumieh-Dokhtar Magmatic Assemblage of Iran, in the west of Ardestan between the East longitude 52°1' to 52°18' and the North latitude 33°17' to 33°27'. Remote sensing techniques are suitable for studying the alterations occurring in the igneous terranes. The alteration zones are well illustrated by implementation of the principal component analysis and the Crosta methods and Spectral Feature Fitting on ASTER data. In order to identify the lineaments, both Landsat-8 satellite imagery and GDEM-ASTER data are used in spatial processing. Using directional filtering and automatic extraction of lineaments, a tectonic lineaments map is prepared. Then alteration maps, tectonic lineaments map and 1:100,000 geology map are used to identify areas with high potential of Cu mineralization.