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Big Data from Space 2021 Conference

HENSOLDT Analytics team members are co-authors of the paper Exploring links between EO Satellites, Social Media and Crowdsourcing Information against Terrorism and Organized Crime.

The paper was presented at conference the Big Data from Space 2021, which took place as a virtual event from the 18th to the 20th of May.

The work is a result of the collaboration between HENSOLDT Analytics, GMV and the Greek company Planetek, within the EOLAW project (funded by the European Space Agency ESA), and it deals with the fusion of EO (Earth Observation) data and Open Source Intelligence to fight organized crime and terrorism.

Moreover, the inclusion of EO data to the portfolio of inputs processed by the HENSOLDT Analytics Media Mining System will further increase the scope and power of analyses that can be carried out.

Abstract: Exploring links between EO Satellites, Social Media and Crowdsourcing Information against Terrorism and Organized Crime

Abstract: Tracking terrorism and organized crime activities requires multi-source information fusion at high spatiotemporal resolution. Here, the potential jointly use of Earth Observation data and big data from online media sources for forming relationships that can help actions against terrorism and organized crime is examined. A four-step novel methodological pipeline is proposed and implemented in a data-rich online cloud environment able to process big volumes of data. The proposed approach can successfully identify patterns and relationships between Earth Observation (EO) and information from online sources with accuracy related to two main factors. The first one is the spatiotemporal resolution and the quality of the provided input EO data. The second factor is related to the complex nature of terrorism and organized crime activities to be captured with an algorithm-based approach. The extracted patterns can provide information at multiple spatial scales that can assist Law Enforcement organizations with counter terrorism and organized crime use cases.

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