Land cover classification and change detection analysis of rawal watershed using remote sensing data
Journal Title: Journal of Biodiversity and Environmental Sciences (JBES) - Year 2015, Vol 6, Issue 1
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.
Authors and Affiliations
Amna Butt, Rabia Shabbir, Sheikh Saeed Ahmad, Neelam Aziz, Mohammad Nawaz, Muhammad Tahir Ali Shah
Keywords
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