Abstract
Vegetation is a crucial and essential element of an ecosystem. The urban ecosystem can also not be completed without the presences of urban flora. Assessment of urban vegetation and its classification is a difficult task with the traditional method. Several techniques have been used for vegetation and environmental assessment nowadays, including remote sensing. The Normalized Difference Vegetation Index (NDVI) is well-known techniques in remote sensing which is used to classify and quantifying vegetation. The main objective of this paper is the classification of urban vegetation with the help of NDVI Index using Remote Sensing and Geographical Information System for Karachi and its neighbourhood. In this study we used Landsat 8 satellite images for monitoring and assessing vegetation. We classified vegetation types and land categories including cropping, farming, orchard, urban parks, playgrounds, built-up areas and transportation corridors.
