Evaluating Spatial Patterns of Urban Green Spaces in Karachi, Pakistan through Satellite Remote Sensing Techniques

Satellite remote sensing techniques


  • Rida Batool Department of Geography, University of the Punjab, Quaid-e-Azam Campus, Lahore
  • Faiza Sarwar Department of Geography, University of the Punjab, Quaid-e-Azam Campus, Lahore
  • Kanwal Javid Department of Geography, University of the Punjab, Quaid-e-Azam Campus, Lahore


Urban Green Spaces, Normalized Difference Vegetation Index, Satellite Remote Sensing and Urban Ecology


Urban ecology is a field of multiple disciplines and its practical applications has been rapidly growing. Changes in vegetation pattern and shift also defines climatic conditions of an area along with the urbanization. This research article deals with the temporal analysis of identification and classification of urban green spaces in Karachi for year 2000 and 2016. Supervised classification and Normalized Difference Vegetation Index (NDVI) was applied to access identification and discrimination of increased urban area and elimination of green areas from Karachi. Data was acquired from LANDSAT satellite image data, analysis of vegetation cover was accessed by Normalized Difference Vegetation Index (NDVI) by using ArcGIS 10.1 and ERDAS 2014 software. From analysis it has been observed that in previous sixteen years of research vegetation has increased but shifted from urban centers or city centers to suburbs of city. Area of vegetation shift is 4%, Barren land has been reduced to 14% and Build up has been increased to 3% over 16 years in Karachi. 


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How to Cite

Batool, R. ., Sarwar, F. ., & Javid, K. (2021). Evaluating Spatial Patterns of Urban Green Spaces in Karachi, Pakistan through Satellite Remote Sensing Techniques: Satellite remote sensing techniques. Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, 56(1), 45–52. Retrieved from https://ppaspk.org/index.php/PPAS-A/article/view/151