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Geo-social Media

clusters computed by our model for the 2021 Ahr Valley flood in Germany.

Improving Disaster Management with Multimodal Information from Social Media

When a natural disaster occurs, the situation on-site can be quite chaotic and overwhelming, making it hard to understand for emergency responders. To react effectively, a detailed understanding of the situation on the ground is required, as it determines where resources and manpower are deployed. After events such as floods or earthquakes, traditional methods of information gathering and transportation are often hindered, e.g. by physical barriers or overwhelmed call centres.

Twitter-based alert

Geo-social Media Data Analysis for Triggering Satellite-Based Emergency Mapping

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.
Geo-social Media Dashboard showing the toal number of tweets, the average sentiment score, the spatial distribution of tweets and trends

Social Sensing: Geo-social Media Data for Real-time Decision Support in Disaster Management

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.
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