IQMULUS
Title: A High-volume Fusion and Analysis Platform \for Geospatial Point Clouds, Coverages and Volumetric Data Sets
Summary: For geospatial applications, huge amounts of heterogeneous data sets of different topology are collected nowadays with different data acquisition techniques. Especially airborne and mobile platform LIDAR data are becoming ubiquitous, but SAR and stereophotogrammetry also contribute to the rapid growth of geotopographical data sets to sizes of tens to hundreds of TBs. Due to the problems of handling such large data volumes and the difficulty of fusing point clouds of heterogeneous provenance, rasters, volumetric data and 2D vector data, many of those new data sets are not used appropriately or not at all. Therefore, IQmulus is targeting to enable optimized use of large, heterogeneous geo-spatial data sets for better decision making through a high-volume fusion and analysis information management platform.
This platform will transpose approaches and IT standards from distributed computing to enable distributed, service-oriented geospatial processing. We will determine optimal execution and distribution parameters for different geospatial processing tasks and to ensure that the IQmulus system can transparently execute processing on different architectures like GPGPU clusters or clouds. Methods will be developed to connect processing and visualization into a tight loop, ensuring high interactivity in the process to enable users to better understand correlations between heterogeneous data sets.
Two test-beds will be implemented in IQmulus (Maritime Spatial Planning & Land Applications for Rapid Response and Territorial Management) to show the benefits of the approach for decision makers such as European industries interested in exploiting sea-borne resources such as renewable energy from wind parks, and citizens affected by emergency cases that require quick response. Result dissemination and evaluation of the IQmulus approach will be handled via a managed user group of relevant stakeholders such as political decision makers, geospatial processing developers and industry.
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