The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W5, 153–157, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W5-153-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W5, 153–157, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W5-153-2017

  05 Oct 2017

05 Oct 2017

TARGETING HYDROTHERMAL ALTERATIONS UTILIZING LANDSAT-8 ANDASTER DATA IN SHAHR-E-BABAK, IRAN

M. Safari1, A. B. Pour2, A. Maghsoudi1, and M. Hashim2 M. Safari et al.
  • 1Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran
  • 2Geoscience and Digital Earth Centre (Geo-DEC), Research Institute for Sustainability and Environment (RISE), Universiti Teknologi Malaysia (UTM), 81310 UTM Skudai, Johor Bahru, Malaysia

Keywords: Landsat-8, Operational Land Imager (OLI), ASTER, hydrothermal alteration, Shahr-e-babak, porphyry copper exploration

Abstract. Shahr-e-Babak tract of the Kerman metalogenic belt is one of the most potential segments of Urumieh–Dokhtar (Sahand-Bazman) magmatic arc. This area encompasses several porphyry copper deposits in exploration, development and exploitation hierarchy. The aim of this study is to map hydrothermal alterations caused by early Cenozoic magmatic intrusions in Shahr-e-Babak area. To this purpose, mineral mapping methods including band combinations, ratios and multiplications as well as PCA and MNF data space transforms in SWIR and VNIR for both ASTER and OLI sensors. Alteration zones according to spectral signatures of each type of alteration mineral assemblages such as argillic, phyllic and propylitic are successfully mapped. For enhancing the target areas false color composites and HSI-RGB color space transform are performed on developed band combinations. Previous studies have proven the robust application of ASTER in geology and mineral exploration; nonetheless, the results of this investigation prove applicability of OLI sensor from landsat-8 for alteration mapping. According to the results, evidently OLI sensor data can accurately map alteration zones. Additionally, the 12-bit quantization of OLI data is its privilege over 8-bit data of ASTER in VNIR and SWIR, thus OLI high quality results, which makes it easy to distinguish targets with enhanced color contrast between the altered and unaltered rocks.