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 . 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 . 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.
Land surface temperature (LST) is important factor in surface feature mapping, analysis, and estimation of emissivity and heat balance studies. The knowledge of surface temperature is important for various applications in Remote sensing field. Feature mapping and analysis can be done according to their emissivity and brightness temperature. In this investigation an attempt has been made to estimate surface temperature from ASTER and to use the relationship between aster thermal bands for feature mapping. ASTER has 5 thermal bands (wave length ranging from 8.125µm to 11.65µm) and these are used in comparison. ASTER thermal bands have been used to convert digital numbers to exoatmospheric radiance using published ASTER user manual gains and offsets. The exoatmospheric radiance is then converted to surface radiance by applying the Emissivity Normalization method, assuming the emissivity of the Investigation area is constant (0.96, the emissivity of urban areas).The surface temperature is then extracted from the surface radiance, based on ASTER images of May 2007.The extracted temperature data were compared to individual ASTER temperature bands. A positive correlation has been found from this comparison.