Monitoring and Studying the Change of Land cover of the Abu Shaiba Agricultural Project Using Remote Sensing Data and GIS

Abstract

Remote sensing data and geographic information systems (GIS) are scientifically reliable means in spatial analysis processes, as the analysis tools of the waveforms of the American satellite Landsat and the European satellite Sentinel were applied for four time periods in the years (1987 , 2006(, )2018, 2022), and within the framework of efforts to reach real sustainable development, we studied the change in vegetation cover resulting from land uses and the extent to which this change reflects on natural resources. Among them is land degradation and thus food security of the region, and to preserve these lands from degradation, and in these context measurements of change in land areas and uses were made in the study area (Abu Shaybah Agricultural Project). Then using the unsupervised classification algorithm, the following classifications were extracted (orchards mixed with seasonal crops, seasonal crops, mixed steppes with coastal bush range, sand and others) and when conducting change detection, time series analysis, calculation of areas for each classification, and analysis of results, Then using one of the tools (Overlay Tools) we obtained the percentage extent of the change in the land cover of the region, and by comparing the results we reached the changing areas during the study period.