In the present paper, supervised classification scheme was
performed to assess the land use pattern and their spatial variation
from recent freely available satellite data of Lasndsat-8
December, 2013 which have 30 m spatial resolution.
A standard approach was applied for classification of the
satellite image using Erdas Imagine 9.1 software starting from
defining of the training sites, extraction of signatures from the
image and then classification was performed. Finally, Maximum
Likelihood Classification (MLC) the classification methods
were applied. Field survey was also performed to finalize
the land use/land cover map of the watershed by using GPS
receiver for verification of doubtful classes. Common land
use categories were identified with reference to their water
requirement i.e., Agricultural land, settlement, fallow land,
forest, wet/ marshy land, mining areas and water body
(Fig. 5). Assessment of land use pattern of the watershed
reveals that most part of the area comes under agricultural
and fallow land which indirectly supports the future for
watershed development and management (Table 6).