QUANTIFYING LANDSCAPE PATTERN OF HYDERABAD USING REMOTE SENSING AND FRAGSTATS

Presenter : Merugu Suresh

Type: Oral

Remote Sensing ability to quantify spatio-temporal changes and inter relationships in the patches within a landscape structure is prerequisite to understand the human interventions in landscape ecology. The current research analyzes the process of natural and human-induced landscape transformation in Hyderabad City of India. In order to estimate the spatial pattern of different landscape structure and quantitatively describe the changes in landscape classes from 1985 to 2015, at a regular interval of 10 year 4 classified maps of 1985, 1995, 2005 and 2015 are used. These maps contain 14 different landscape classes at the spatial resolution of 100 meter. Various landscape metrics of each zone, including area, patch density and size, edge, shape, nearest-neighbor, diversity, and contagion and interspersion metrics were calculated using the landscape structure analysis program FRAGSTATS. The different class level metrics of study area has revealed internal exchange of 14 land use classes. The study showed that the notable changes had occurred in the last 40 years in this landscape, hence there is need of appropriate measures to mitigate these negative impacts of changes.