Flooding is a major problem in urban areas worldwide. Methodologies that can rapidly assess the scale and identify the reasons causing these flooding events at minimal cost are urgently required. This study has used the City of Kingston-upon-Hull to evaluate the capability of an integrated remote sensing and geographical information system based approach to provide the critical information on the spatial extent of flooding and flood water volumes and overcome the limitations in current monitoring based on ground-based visual mapping and household flooding surveys. Airborne and Terrestrial LiDAR datasets were combined with digital aerial photography, flood assessment surveys, and maps of housing, infrastructure and the sewer network. The integration of these datasets provided an enhanced understanding of the sources and pathways of the flood water runoff, accurate quantification of the water volumes associated with each flooding event and the identification of the optimum locations and size of potential retrofit Sustainable Urban Drainage systems.