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Research Paper | Geology | India | Volume 3 Issue 6, June 2014 | Popularity: 6.9 / 10

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Identification of Iron Ore Mines of Noamundi; Jharkhand by Using the Satellite Based Hyperspectral and Geospatial Technology

Surajit Panda, Krishnendu Banerjee, Dr. Manish Kumar Jain

Abstract: Now a days the developing countries like India; where the population is over one billion; one-sixth of the worlds population; affects the natural & commercial resources. Mineral resources play very important role to back up or support the economy of country. Iron ore is one of the important mineral to increase the industrial development and country also. In the context of Iron Ore; it is necessary to locate its presence in nature using modern; time and cost saving technology. Different types of survey and techniques are applied to demarcate the Iron ore possibility areas like Bore hole and Field survey etc; which are the more costly and time consuming. In the modern age; Remote sensing & GIS technique can reduce the cost and time of spatial survey. In the field of Remote sensing technique it is possible to identify the surface mineral distribution by using the spectral characteristic of mineral. For example the Iron ore absorb the 0.85-0.9m and strong reflectance at 0.7-0.75m region of Electromagnetic Radiation (EMR). In this present study of Noamundi Iron ore mining areas of Jharkhand; Iron ore distribution has carried out by using angular reflectance ( Fe) hyper spectral image and correlation of spectral character and field Fe content. In the final result it is shown that the Iron ore distribution areas are 90 % match with known Iron ore mining areas. So it is possible to identify the Iron ore distribution without any field spectra but using only image spectra and Field Fe contents.

Keywords: Atmospheric Correction, FLAASH, EMR, Reflectance, EO-1 Hyperion, Correlation etc

Edition: Volume 3 Issue 6, June 2014

Pages: 149 - 152

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