This paper gives an overview of the land cover mapping efforts and highlights the various hard classification algorithms being used for hyperspectral image processing. The experiment was conducted on MODIS 36 spectral bands with Neural Network classification technique. The results obtained from accuracy assessment showed that NN on Minimum Noise Fraction components was good for land cover mapping at regional scale.