Using my technology (GIS, RS) to study the spatial expansion of the city of Mosul for the period (1977-2017)

Abstract

       The phenomenon of spatial expansion has recently become a global phenomenon that affects the sustainability of land uses, whether in large or small cities, as well as one of the problems that haunt planners and researchers because it is rapidly increasing, which threatens the ecosystem in cities. The demand for housing, so the researchers tended to search for using the best methods to assess this phenomenon quantitatively and qualitatively and build a geographic information base and present it to decision makers, and from this standpoint, the integration between the use of information systems and remote sensing techniques is one of the most important ways to measure and evaluate the phenomenon of expansion temporally and spatially, as This study proved that the city of Mosul, during the past five decades, witnessed a large spatial expansion as a result of the increase in the city’s population for the period (1977-2017), as the population doubled in this period, reaching according to population estimates for the year 2017 (1,573,946) people, after it was in 1977 ( 414,162) people, so this study aimed to analyze the temporal and spatial changes that the city witnessed for the period (1977-2017) by way of comparison between each two time periods depending on the Software with a spatial dimension, where remote sensing and geographic information systems technologies were used, represented by (Envi 5.3) and (ARC GIS) programs, with their high capabilities in analysis and processing, as well as reliance on the Anderson classification system, which is one of the most famous classification systems in the world for its efficiency in classification Land cover and land uses, and the research reached the most prominent results, as the city of Mosul witnessed a great urban expansion for the period (1977-2017), as the built-up area in (2017) reached (125,437) km 2, after it was in 1977, its area was (24,465) km 2.