International Project

A High-volume Fusion and Analysis Platform for Geospatial Point Clouds, Coverages and Volumetric Data Sets

Short Title: IQmulus

Principal Investigator: Michela Spagnuolo

Funding Body

EU FP7-ICT-2011-318787

Year of start/end

2012 / 2016 (Ended)



Project Web Site


IQmulus will leverage the information hidden in large heterogeneous geospatial data sets and make them a practical choice to support reliable decision making

Recent emergencies, such as the toxic industrial mud spill in Ajka, Hungary, in October 2010, and the flooding rain in Genova, Italy, in November 2011, have emphasized the fact that actually a lot of crucial information is indeed contained in existing large geospatial datasets but it is hidden and in no way integrated in ongoing decision processes. Valuable knowledge could be extracted from this data but currently the hidden information is typically only accessed in hindsight for damage assessment and knowledge only derived in a belated "what went wrong" analysis.

The IQmulus concept was developed to do something about this situation. Its goal is to use cutting edge computational approaches for data fusion and data analysis as well as cloud infrastructures and graphical processing units to make crucial information from extremely large geospatial datasets available on time and to derive and visualize important knowledge for the relevant level of decision making.

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