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

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At a Glance

IQmulus

IQmulus integrates the latest research results in data processing and visualization into a Cloud-based platform for solving important real-life challenges in geospatial applications. New and emerging data acquisition techniques provide fast and efficient means for multi-dimensional spatial data collection. Such raw data is generally big, and includes point clouds and digital images, often enriched with other sensor and thematic data. IQmulus providing a platform to process massive amounts of geospatial big data and serving useful knowledge in a form of processing algorithms developed by the project. The platform is scalable in processing and storage capacity, and capable of handling the four Big Data aspects of variety, volume, velocity and analytics.

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Change detection by comparing DEMs from different dates [Workflow MS4]

IQmulus

Detection of surface changes from bathymetric point clouds and existing elevation models will address user stories including coastal monitoring, geomorphology, physical oceanography, etc. 2D Displacement measurement using DSM/DTM/DEM and optical images using sub- pixel image cross-correlation with spatial regularization for measuring submarine dune migration.

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