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Special Session:
Participatory Disaster Management – Fusing Remote Sensing Data with User-generated Geo-data

This special session is supported by the European Commission's Horizon 2020 project 'Evolution of Emergency Copernicus services' (E2mC). 

Context:

In the first hours of a disaster, up-to-date information is crucial for effective disaster management. However, due to the delay induced by collecting and analysing satellite imagery, disaster management systems like the Copernicus Emergency Management Service (EMS) are currently not able to provide information products until up to 48–72 h after a disaster event has occurred. While satellite imagery is still a valuable source for disaster management, information products can be improved through complementing them with user-generated data like social media posts or crowdsourced data. The advantage of these new kinds of data is that they are continuously produced in a timely fashion because users actively participate throughout an event and share related information. This session invites contributions that analyse spatial information for use in disaster management with a particular focus on leveraging user-generated data and methods for combining them with established remote sensing based approaches.

Information: Call for Papers (as pdf-file)

Submission:

Contributions can be submitted as either full paper, extended abstract or poster. Any contribution needs to be submitted via the conference submission website and will be object to the double-blind, peer-review process. Authors of accepted full papers are going to be invited to present and discuss their paper (15’+5’) in the special session. Full papers and extended abstracts will be published in the GI-Forum journal (Open Access).

Contact:

For questions, please contact This email address is being protected from spambots. You need JavaScript enabled to view it. (University of Salzburg), This email address is being protected from spambots. You need JavaScript enabled to view it. (e-GEOS), and This email address is being protected from spambots. You need JavaScript enabled to view it. (University of Salzburg).

Location:

University of Salzburg | Faculty of Natural Sciences
Hellbrunnerstr. 34 | 5020 Salzburg | Austria

With support from:

           

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