At the recent Florida Floodplain Managers Association Annual Conference the engineering and environmental sciences consulting firm Jones Edmunds & Associates presented an evaluation of the SCALGO Flash Flood Mapping product. Using a detailed terrain model, SCALGO Flash Flood Mapping can be used to rapidly assess flood risk during extreme rain events on a local, regional or even national scale. Jones Edmunds compared SCALGO Flash Flood Mapping with the results of a recently completed Jones Edmunds flood study in Marion County, Florida, based on an advanced dynamic model (ICPR) used by the Florida authorities and listed by Federal Emergency Management Agency (FEMA) as a nationally accepted hydraulic model. They found that despite a cost of under 5% and a significantly reduced production time, the Flash Flood Mapping results were close to the results of the advanced modelling and the same time significantly more detailed. Another main conclusion was that SCALGO Flash Flood Mapping is a very cost efficient way of screening large areas for high flood-risk areas where very detailed dynamic modelling is justified.

SCALGO Flash Flood Mapping show how much rain has to fall during an extreme rain event before any given cell of a detailed (LiDAR based) raster terrain model is below water. Consequently, the mapping can be easily used to compute what part of each depression is below water after a given amount of rain, and thus effectively shows how water collects in depressions for all possible amounts of rain. The SCALGO Flash Flood Mapping product is being offered as a computation service. Based on the service and its national LIDAR-based terrain model, the major Danish engineering, environmental science and economics consulting company COWI has already successfully launched a new flash flood map product in Denmark, which is being used by several local governments as well as one of the five regional governments in Denmark (covering approximately 13.000 km²).

Information about SCALGO technology, products and services can be found at http://scalgo.com. 
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Scalable Algorithmics (SCALGO) was founded in 2009 with the mission to bring cutting-edge massive 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. Software based on the technology can handle much larger terrain data sets on a normal desktop than most current software and thus it eliminates the need for accuracy-decreasing data thinning. The use of novel mathematical and algorithmic techniques also means that the software works provably efficient on all input data sets, delivering a completely specified output without the use of cumbersome work-flows such as those introduced by data tiling. SCALGO is involved in multiple research projects and offer special pricing for academic institutions.