Original Articles: 2014 Vol: 6 Issue: 11
Urban sprawl change detection analysis of Vijayawada city using multi temporal remote sensing data
Abstract
Remote sensing and GIS techniques are widely used for modeling the climate change and managing the water resources with greater accuracy. In the present study, a change detection analysis was carried out for Vijayawada urban city, Andhra Pradesh using landsat images generated from thematic mapper and enhanced thematic mapper plus sensors. Land use and land cover classes considered in the study were habitat, open scrubs, agricultural land, water bodies and siltation respectively. Accuracy assessment was performed using kappa statistics. Normalized difference vegetation index (NDVI) was also carried out to interpret the analysis. From the study, it is inferred that the habitats were increased from 4097.32 to 4591.08 ha during the years from 1990 to 2002. On the other hand, dense forest was decreased from 4039.32 to 3006.84 ha, which infers a solid impact of climate change on the water bodies and habitats of Vijayawada urban city in future.