Volume 7, Issue 1, August 2014, Pages 5–10
Surajit Panda1, Krishnendu Banerjee2, Dr. Manish Kumar Jain3, Dr. A.T Jeyaseelan4, and Ratnesh Kr. Sharma5
1 Jharkhand Space Applications Center, Dept. of Information Technology, Govt. of Jharkhand, Ranchi- 834004, Jharkhand, India
2 Jharkhand Space Applications Center, Dept. of Information Technology, Govt. of Jharkhand, Ranchi- 834004, Jharkhand, India
3 Dept. of Environmental Science & Engineering, Indian School of Mines (ISM), Dhanbad-826004, Jharkhand, India
4 Regional Remote Sensing Centre West, NRSC, ISRO, Jodhpur - 342003 Rajasthan, India
5 Jharkhand Space Applications Center, Dept. of Information Technology, Govt. of Jharkhand, Ranchi- 834004, Jharkhand, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This paper present the mapping of active Iron ore mines of Noamundi areas of Jharkhand.It was observed that the spectral characteristic of iron ore lie in the NIR and SWIR region. The Iron ore absorbs the0.85-0.9µm, and shows strong reflectance at 0.7-0.75µm region of Electromagnetic Radiation (EMR). The study involves hyperspectral image data, preprocessing like Noises are fixing bad and outlier pixels, local de-striping, atmospheric correction etc. and mines map generation by using NDII (Normalized Difference Iron ore Index) from the image. Atmospheric correction was carried out by using FLAASH algorithms applied on Hyperion image using the Hyperion tools available from ENVI 4.7 [2]. The Iron ore mines are full of Iron ore or Fe dust material. So Iron ore has spectral signature due to own chemical component. In the case of Iron ores, the maximum reflectance Hematite shows near 0.7µm and maximum absorption shows near 0.85µm range of EMR [7]. By using this importance character of Iron ore, Iron ore mines are mapped with the help of NDI Index which shows a reasonable match with known mining locations.
Author Keywords: Atmospheric Correction, FLAASH, NDII, EMR, EO-1Hyperionetc.
Surajit Panda1, Krishnendu Banerjee2, Dr. Manish Kumar Jain3, Dr. A.T Jeyaseelan4, and Ratnesh Kr. Sharma5
1 Jharkhand Space Applications Center, Dept. of Information Technology, Govt. of Jharkhand, Ranchi- 834004, Jharkhand, India
2 Jharkhand Space Applications Center, Dept. of Information Technology, Govt. of Jharkhand, Ranchi- 834004, Jharkhand, India
3 Dept. of Environmental Science & Engineering, Indian School of Mines (ISM), Dhanbad-826004, Jharkhand, India
4 Regional Remote Sensing Centre West, NRSC, ISRO, Jodhpur - 342003 Rajasthan, India
5 Jharkhand Space Applications Center, Dept. of Information Technology, Govt. of Jharkhand, Ranchi- 834004, Jharkhand, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This paper present the mapping of active Iron ore mines of Noamundi areas of Jharkhand.It was observed that the spectral characteristic of iron ore lie in the NIR and SWIR region. The Iron ore absorbs the0.85-0.9µm, and shows strong reflectance at 0.7-0.75µm region of Electromagnetic Radiation (EMR). The study involves hyperspectral image data, preprocessing like Noises are fixing bad and outlier pixels, local de-striping, atmospheric correction etc. and mines map generation by using NDII (Normalized Difference Iron ore Index) from the image. Atmospheric correction was carried out by using FLAASH algorithms applied on Hyperion image using the Hyperion tools available from ENVI 4.7 [2]. The Iron ore mines are full of Iron ore or Fe dust material. So Iron ore has spectral signature due to own chemical component. In the case of Iron ores, the maximum reflectance Hematite shows near 0.7µm and maximum absorption shows near 0.85µm range of EMR [7]. By using this importance character of Iron ore, Iron ore mines are mapped with the help of NDI Index which shows a reasonable match with known mining locations.
Author Keywords: Atmospheric Correction, FLAASH, NDII, EMR, EO-1Hyperionetc.
How to Cite this Article
Surajit Panda, Krishnendu Banerjee, Dr. Manish Kumar Jain, Dr. A.T Jeyaseelan, and Ratnesh Kr. Sharma, “MAPPING OF IRON MININGS OF NOAMUNDI AREAS, JHARKHAND BY USING THE IMAGE BASED NDII AND GEOSPATIAL TECHNOLOGY,” International Journal of Innovation and Scientific Research, vol. 7, no. 1, pp. 5–10, August 2014.
