By 2050, damage by floods in coastal areas alone is projected to reach US$1 trillion annually. Remotely sensed information on floods coupled with advanced 2D flood inundation simulations can be game-changing in assisting governments and reinsurance markets globally. Augmenting this with state-of-the-art web mapping analytics can reach many decision-makers and flood responders worldwide and deliver valuable information across networks and to many mobile devices.
Together with the Earth Engine team at Google Inc., the DFO, INSTAAR and NASA JPL, RSS and international collaborators University of Bristol and SSBN Ltd are running a multi-event 2D flood hazard model (LISFLOOD-FP + WBM global simulations) ove several continents. Feeding these terabytes of data into the Earth Engine platform enables high-end analytics to deliver information for assisting flood managers and relief services. Augmenting this information with satellite data of floods from the DFO is expected to advance geospatial capabilities in flood disaster assistance worldwide.