Land Use Land Cover Mapping with Change Detection: A Spatio-temporal Analysis of NCT of Delhi from 1981 to 2015 Parveen Shahnaz1, Sarkar Susmita2,* 1Professor, Department of Geography, Faculty of Natural Science, Jamia Millia Islamia, New Delhi 2Research scholar, Department of Geography, Faculty of Natural Science, Jamia Millia Islamia, New Delhi *just_susmita@rediffmail.com
Online published on 3 December, 2019. Abstract Land in urban areas is scarce. There is heavy competition amongst all users of urban a rapid transformation of Land use Land cover (LULC) and inter transferability of one land use function to another is apparent. The NCT of Delhi (India) undergoing rapid urbanization and rapid urban transformation furnishes one of the best examples of the above phenomena. Therefore, the main objective of the present study is to map and monitor the land use land cover (LULC) on one hand and to detect the patterns of LULC changes in spatio-temporal perspective on the other from 1981 to 2015. The study is based upon remote sensing data of Landsat 3(1981) and Landsat 8(2015) multispectral images for the study area. The supervised classification based on maximum likelihood classifier has been used to identify the four major categories of LULC modified from National Urban Information System (NUIS) Standards. The study shows that from 1981 to 2016 the land resources are affected adversely, vegetation cover from 41 percent of the total geographical area of NCT of Delhi in 1981 has recorded a decline of 23 percent in 2015, a decrease of about 50 percent during a span of 34 years. While open area in the above period has decreased to 9% in 2015 from 16% in 1981. The built up has expanded from 42 to 66% mostly at the cost of vegetation cover. The classification accuracy has been established through K_hat statistics showing 0.84 and 0.79 for 1981 and 2015 respectively. Top Keywords Land use land cover, Change detection, Maximum likelihood classifier, Accuracy assessment, K_hat statistics. Top |