High resolution remote sensing has become the de-facto standards in observing the Earth and its environment.In this project we are addressing the complex problem of tasking satellites based on social media input. The goal is to identify areas where transportation infrustructures have been compromised after a catastrophic event using high resolution commercial remote sensing. For example, after hurricane Sandy made landfall, the entire Eastern coast of the US was affected by heavy rain and strong winds, which caused several roads and bridges from being affected. In these situations it is necessary to assess in near real time the status of roads. However, it is often impossible to acquire data for such a large area. In this project we analyze social media data to identify 'hot spots', where volunteered information is posted assessing damaged roads or other transportation infrastructures. Satellite data are then tasked to acquire high resolution images for these areas, which are then assessed for damage.