Today, the Danish philanthropic organisation Realdania announced funding for a major project lead by SCALGO to further develop SCALGO Live Flood Risk to create a powerful online flood risk tool targeted at local governments and water utilities. The approximately 1 million euro grant from the Realdania “Klimaspring” campaign provides funding for an interdisciplinary project team to develop SCALGO Live Flood Risk into an easy-to-use tool that allows for interactive flood risk estimation and planning based on very large high-resolution terrain data. SCALGO Live Flood Risk is already adopted by most of the major engineering companies in Denmark, and the new product is poised to be an important part of the flood risk planning toolbox for local government, water utilities, as well as emergency services.
SCALGO CEO Morten Revsbæk says: “Through our work to create flood risk maps for national and local governments we have identified a need to work much more interactively with the maps. It should be possible to continuously change and refine the data and quickly see the effect on the derived maps. SCALGO has already developed a significant part of the underlying technology, but through the Klimaspring project we will work with a unique interdisciplinary team to ensure that we create the best possible tool for local governments and utilities.”
The project includes major engineering companies NIRAS and COWI, innovation and user experience design experts from the Alexandra Institute and Alien Workshop, as well as target users from Odense and Silkeborg municipalities, and water utilities Vandcenter Syd and Aarhus Vand. Furthermore, Aarhus University and the Danish Meterological Institute (DMI) bring algorithmic and meteorological expertise and data to the project. Finally the Danish Geodata Agency is an observing partner in the project.
For more information contact SCALGO or read the Realdania Press Release (in Danish).
Scalable Algorithmics (SCALGO) was founded with the mission to bring cutting-edge big terrain data processing technology to market. The SCALGO technology is based on more than two decades of basic and applied research on I/O-efficient and geometric algorithms at Center for Massive Data Algorithmics (MADALGO) at Aarhus University in Denmark and at Duke University in the US, in collaboration with industry LiDAR and environmental GIS application experts. SCALGO provides a range of desktop software, analysis and online large-area detailed terrain data set processing and analysis products.