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Hyperion Image Analysis for Iron Ore Mapping in Gua Iron Ore Region, Jharkhand, India

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Author Affiliations

  • 1Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, INDIA
  • 2 Mining Engineering Department, Indian Institute of Technology, Kharagpur, Kharagpur, West Bengal, INDIA
  • 3 School of Water Resources, Indian Institute of Technology, Kharagpur, Kharagpur, West Bengal, INDIA
  • 4 Remote Sensing and GIS Department, Vidyasagar University, Midnapore Midnapore, West Bengal, INDIA

Int. Res. J. Earth Sci., Volume 2, Issue (9), Pages 1-6, October,25 (2014)

Abstract

The paper introduces the concepts and application of hyperspectral remote sensing technology in mineral identification over Gua Iron Ore Mine, Jharkhand, India. Reflectance and emittance spectroscopy in the VNIR and SWIR regions offer an effective way in mineral identification and possible localized mapping. EO-1 Hyperion hyperspectral data has been used for the identification of Feore minerals. The first requirement is to compensate for the atmospheric effects. Hyperspectral image processing technology for mineral identification is based on spectral classification which comprises of three basic steps: i. MNF transformation to reduce noise and spectral data dimensionality, ii. the PPI for spatial dimension reduction and extraction of pure pixels and iii. n-D Visualization and endmember collection. These extracted endmembers are then compared using a mineral spectral library distributed from USGS as a reference and are used in Spectral Angle Mapping (SAM) to classify the image for identifying the occurrences of same minerals. The results revealed the potential use of Hyperion data in mineral identification.

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