The training data given by the user guides the software as to
what types of pixels are to be selected for certain land cover
type. The un-supervised classified image has been used for
reference and for understanding about the distribution of
pixels with different digital numbers. The classification
finally gives the land use/land cover image of the area.
Four land cover classes namely agricultural land, built up
area, barren land and water bodies are identified in the
study area.