IQmulus is a network of organisations interested in the processing of 'big data' point clouds such as datasets produced by Lidar, Sonar and Laser Mobile Mapping. Members range from ICT organisations developing the latest computing infrastructures, to research organisations developing the latest algorithms, and end users applying ideas to support reliable decision making. If you share any of these interests we would be pleased to hear from you!


Fact Sheet


The IQmulus Fact Sheet is now available. Click on the preview images to open in PDF format!

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Flood and waterlogging detection using satellite images [Workflow LS3]


The workflow provides quick solution for extracting flood/waterlogging information from multispectral remotely sensed images. The threshold-based thematic classification works primarily on top of atmosphere reflectance values and multiple spectral indices. You can run the workflow on TIFF or GeoTIFF images. Additionally to the image, original metadata has to be uploaded because of ToA-reflectance calculation. As a result, an uncompressed regular TIFF of GeoTIFF will be generated, containing thematic class numbers indicating the degree of flooding.

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Visualising Point Clouds and Surfaces on the IQmulus Project

Presentation: Visualising Point Clouds and Surfaces on the IQmulus Project

HR Wallingford Exchange Forum, Howbery Park,19th July 2017

The IQmulus project addressed the challenge of taking geospatial point cloud and coverage data and interpreting it with functions such as interpolation, feature detection and change detection so that it could be more easily used for decision-making tasks. One key aspect of HR Wallingford’s role on the project was to investigate processing and visualising bathymetry datasets using the SeaZone holdings of bathymetry surveys. The purpose of this presentation is to describe and, where possible, demonstrate key visualisation applications developed at HR Wallingford.

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