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Disaster risk reduction using innovative data exploitation methods and space assets

The difficult and costly access to reliable and quality Earth Observation (EO) satellite data has historically often limited the development of operational and sustainable services in multiple application domains (among which Disaster Risk Management) and, as a consequence, it has impaired the benefit that the society could have been receiving back as a return of huge multi annual investments in the space sector.

Italy

13-037

E-GEOS
Integrating SAR interferometry and GNSS for studying tectonic processes in Indonesia

Indonesia is periodically affected by severe volcanic eruptions and earthquakes, which are geologically coupled to the convergence of the Australian tectonic plate beneath the Sunda Plate. SAR interferometry (InSAR) is a satellite technology based on radar sensors that can be used to support the study and modelling of terrain movements such as tectonic motions associated with faults, and volcanic processes related to magma movement. The main advantages of InSAR is the synoptic view of wide areas, and the periodic surveying that guarantees long-term monitoring and time series analysis.

Italy

14-A-2-a

ISSIA
Crowd4Sat: Crowdsourcing for Observations from Satellites

The Crowd4Sat project explored a range of crowdsourcing methodologies and technologies, from opportunistic sourcing ­ the ability to extract relevant data from unrelated activities ­ to participatory sourcing, where citizens and authorities explicitly participate in the data collection. The crowdsourced data and information collected ranged from real time pollution data from cars (via the The Floow's technologies who have hundreds of thousands of users on four continents), to crowdsourced geotagged images from sites like Panoramio, Flicker and Twitter, to social media messages (e.g.

UK

13-038-b

University of Sheffield

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