Baghdad city, the capital of Iraq, has undergone rapid urban expansion in recent decades due to many reasons, among which one of them is its accelerated economic growth. However, the growth rate of services has not kept up with the population growth, leading to the transformation of agricultural land into land for housing, roads, and other facilities. This rampant land development has caused numerous issues which planners are still grappling with. This study examines the application of remote sensing and Geographic Information System (GIS) techniques to monitor and evaluate the development of Land Use/Land Cover (LULC) in Baghdad city from 1973 to 2007. Moreover, the Land Suitability Analysis method (LSA) is used in this study for land management and forecasting suitable areas for planning and implementing projects in the city. The study area was classified into three zones according to purpose, nature, and restriction. One of these zones represented the best area for planning. The results show that the built-up urban area expanded continuously from 642.248 km² in 1973 to 907.8959 km² in 2003, with the exception of 1983, when it peaked at 1262.289 km². This increase has an impact on green areas and other facilities within the city. The master plan for Baghdad city, created in 1973, is widely regarded as the best for several reasons. It offers a clear vision for the city's future and serves as a comprehensive framework for current urban development. Its significance lies in the effective distribution of land use and functional zoning. The yield map from LSA is an effective tool for evaluating land use planning and management in areas that retain significant natural environmental and historical features. It can assist in developing a comprehensive land use plan for regions or sub-regions by assessing the suitability of each site for various land use options.
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Remote Sensing and GIS Techniques for the Evaluation and Forecasting of Land Management in Baghdad City
Published:
25 March 2025
by MDPI
in International Conference on Advanced Remote Sensing (ICARS 2025)
session Remote Sensing for LULC and Land Management
Abstract:
Keywords: GIS; Land Management; LSA; LULC; Population Growth; Remote Sensing.
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