Land cover classification and change detection analysis of rawal watershed using remote sensing data

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Research Paper 01/01/2015
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Land cover classification and change detection analysis of rawal watershed using remote sensing data

Amna Butt, Rabia Shabbir, Sheikh Saeed Ahmad, Neelam Aziz, Mohammad Nawaz, Muhammad Tahir Ali Shah
J. Bio. Env. Sci.6( 1), 236-248, January 2015.
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Abstract

Changes observed in land cover/use parameters determine the hydrological and ecological processes taking place in a watershed. Hence, the present study was focused on analysis of the change detection in Rawal watershed, Islamabad using satellite data for the years 1992 and 2012 respectively. Land cover change was detected by applying a supervised classification-maximum likelihood algorithm. The findings indicated that there were accelerated land transformations among the five delineated land cover classes. Hence, there is a need for proper watershed management plans and conservation strategies to be designed in order to protect the forest, water and soil resources of this watershed.

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