When a natural disaster occurs, it is particularly important to obtain information about which regions are affected as quickly as possible. Remote sensing data, especially from earth observation satellites, is often used to analyse the course of natural disasters. However, most satellites are on fixed orbits or have to be explicitly tasked in order to take images of a certain region. This always results in a time delay. Significant progress has already been made in the area of data analysis in recent years, which has led to a speeding up of the process. However, the activation of satellite-based emergency mapping (SEM) is still a manual action by an authorised user. The identification of an area of interest (AOI) for explicit tasking, i.e. controlling the satellite for image acquisition, is also necessary in advance.
User-generated data as a basis for geographical decision support has evolved from a basic research field to an application-oriented state. User-generated data is now widely recognised and a largely high-quality foundation for decision support in various application areas. The TEMA project will advance the use of geo-social media towards generic decision support, independent of geographical regions, languages, or use cases, and in near real-time.