Land Use/Land Cover Change Detection Using GIS and Remote Sensing: A Case Study of District Rawalpindi

Abstract

Aggregation and visualization of geographic data are significant aspects of environment modeling, agricultural management and socio-economic status. Geographical Information System (GIS) and Remote Sensing had been used to aggregate the change detection of land use/Land cover (LULC) change. This can help to identify adaptations in the properties or phenomena which are imaginary in the diverse time period. This study takes the temporal-spatial subtleties of LULC using satellite imageries of different time periods of three years 2000, 2010 and2018 inRawalpindi. Supervised classification technique has been applied to determine the object in concerned years to the satellite imageries for 2000, 2010 and 2018 is place to differentiate the changes and extent of the population expansion. The study was further classified into five main classes i.e. Agriculture, Barren Land, Built-up Area, Vegetation and Water Channel. The day-by-day expansion of the settlements and findings discovered untraced overspreading in the extension of the city badly disturbs the land use pattern of the city. There were incompatible conversions to green areas into the adjacent communities that are showing a significant impact of urbanization. Maps of this LULC resented inGISmapping platform that can be used for the improvement of urban planning, environmental modeling and agricultural management in the selected area.

Keywords: Geographical information system (GIS), imagery, land use/land cover (LULC), remote sensing, supervised classification

Cite this Article

Muhammad Zubair Iqbal, Muhammad Javed, Ambreen Jabbar, Umer Rashid. Land Use/Land Cover Change Detection Using GIS and Remote Sensing: A Case Study of District Rawalpindi. Journal of Remote Sensing & GIS. 2019; 10(2):
19–34p.