When an earthquake occurs, seismic data provides an initial estimate of magnitude and location. However, for large earthquakes, we can improve our situational awareness once we know the full extent of the rupture - large earthquakes result from several 100's of kilometers of fault breaking, not just a point on the map corresponding to the epicenter. Rapid GPS and InSAR measurements from impacted regions combined with modeling can often tell us where and how much a fault ruptured, constraining these values more reliably than is possible using seismic data alone. Locating the ruptured fault is critical for improving rapid estimates of the distribution and intensity of earthquake shaking (e.g., ShakeMaps). This information is also necessary for post-event hazard estimates in support of recovery efforts. For example, it could be highly valuable for establishing which structures have collapsed following an earthquake. We have also shown how SAR data can be used to identify regions that have experienced damage and these can be integrated into existing damage maps, products that give responders information on where shaking is predicted to have caused damage. We propose to improve response and recovery to earthquake-related disasters by working the USGS to provide rapid fault models and refined damage maps that integrate GPS and InSAR into their seismic earthquake response systems.