In Arkansas, flooding is a frequent hazard that affects both urban and agricultural areas. In this study, a geospatial cyberinfrastructure (GCI) framework is developed to analyze flood hazards and socioeconomic vulnerability throughout the state. We simulate flood depths and quantify how it intersects with land use, infrastructure, and socioeconomic characteristics using remote sensing-based terrain data and demographic markers. The study results show notable disparities, with minority and low-income populations, particularly in the Mississippi Alluvial Plain, at higher risk of flooding. Clusters of vulnerability are spatially identified using high-resolution mapping and Bivariate Local Moran's I analysis, indicating the intersection of economic and racial inequality with flood risk.
When used with Google Earth Engine, the GCI combines several datasets to provide detailed and easily navigable interactive maps and visualizations. Stakeholders, including legislators and urban planners, are empowered by these tools to assess flood risks and develop focused, well-informed mitigation plans. The study reveals the value of integrating geospatial technologies to address environmental justice challenges and the importance of equitable flood management policy. Its ultimate goal is to enhance flood preparedness decision-making in Arkansas and add to the larger discussion on socio-environmental justice.