The utilization of remote sensing and GIS is increasing in importance across the world for disaster preparedness, assessments, mitigation, and governance. A major focus is on extracting and disseminating useful information from satellite and airborne data sources for effective planning and decision making during and after disasters. This study presents a case study from Ko-Rian, a sub-district in Ayutthaya, Thailand which is frequently hit by monsoon flooding. First, an approach is demonstrated to extract buildings and roads from very-high-resolution satellite images. The results showed that use of selected multiple indices with object-based image analysis produced excellent results in mixed urban environment. Secondly, a procedure and framework are proposed for geodatabase modeling of urban flood vulnerability and disseminating information to a wider community through ESRI story maps. The proposed approach using virtual reality technologies such as Google Street View for assessing physical vulnerability and ESRI story maps to share the information can significantly reduce the time and costs of the traditional survey. The techniques and approach presented in this study can be useful to develop detailed vulnerability profile for effective decision making and dynamic planning for a flood resilient city.