Not AvailableRemote sensing technology is the powerful tool for mapping because of its wide area coverage, gives
information about inaccessible area, timely repetitive coverage of the same area. However, the image
analysis is a challenging task. Digital classification is not always efficient, particularly if there are
extreme variations in land cover as it exists in north eastern part of the country. In this study, classical
technique of visual interpretation along with image enhancement technique was adopted for classification.
In addition to this, classification through unsupervised and supervised techniques has also been followed
to compare the relative accuracies. The result shows that classical technique of visual interpretation is a
better way to classify the land use/land cover particularly for the hilly region where the algorithm based
classification fails due to the very undulating topographical condition and complex spectral signature of
vegetation.Not Availabl
