Abstract
This study explores the spatial and temporal dimensions of agricultural land use patterns through a geographical lens, emphasizing the integration of GIS and remote sensing technologies. It distinguishes between static and dynamic analyses to assess the spatial distribution and temporal transformation of agricultural practices, particularly in metropolitan regions. By incorporating farmers’ behavioral insights, environmental variables, and policy impacts, the paper evaluates land use changes across diverse case studies from Sudan, Bahrain, and the U.S. Midwest. The findings underscore the role of topography, soil fertility, and climate in shaping agricultural patterns, and highlight the implications of urbanization, policy interventions, and sustainable practices. The research contributes to a deeper understanding of agricultural land use dynamics and offers directions for future research leveraging emerging geospatial technologies.