Denmark

Independent evaluation show benefits of SCALGO Flash Flood Mapping

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
Future information about SCALGO products and services can be received directly by signing up to the newsletter at http://scalgo.com/mailing_list.php.

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.

 

Illustration of SCALGO Flash Flood Mapping used to show parts of the terrain below water for 50mm (red), 100mm (yellow) and 150mm (blue) of rain, respectively. Map data ©2011 Google Imagery ©2011 COWI A/S, DDO, DigitalGlobe, GeoEye, Scankort.

 

Flash Flood Mapping example

Danish government launches nation-wide sea-level rise flooding tool based on SCALGO computations

At a flooding conference in the Danish Parliament on February 3 the Danish Minister for the Environment launched a new nation-wide online interactive tool that maps the risk of flooding in Denmark due to rising sea-levels. The tool visualizes the flooded area for a (user-) given sea-level rise, and is part of the national climate change adaptation portal (klimatilpasning.dk/en-us) available to government specialist, as well as ordinary citizens. It is made possible by a computation performed by SCALGO on a very accurate 1.6 meter resolution raster terrain model for the entire country of Denmark. The detailed and thus massive model contains more than 20 billion cells. It was vital for the accuracy of the sea-level rise flooding tool that such a high quality model was used, since it ensured that dikes and other important features with small spatial extent were taken into account.

The SCALGO technology for processing massive terrain data on normal desktop computers was essential for the computation behind the sea-level rise flooding tool. Using the SCALGO Hydrology software package the computation can be performed on the entire model of Denmark (without thinning or tiling) in approximately a day and a half on a normal desktop computer with 4GB of main memory. Apart from a module for the sea-level rise flood mapping, the package also includes modules for computing flow accumulation, watersheds, and bluespots (maximal depressions). SCALGO also offers more advanced hydrological analysis computation services using in-house software, including the SCALGO Flash Flood Mapping product, which estimates the risk of flooding during extreme rain events. The mapping shows how much rain has to fall before any given cell of a detailed raster terrain is below water, and thus it also shows what part of the terrain is below water after a given amount of rain.

Information about SCALGO technology, products and services can be found at http://scalgo.com.
Future information about SCALGO products and services can be received directly by signing up to the mailing list a http://scalgo.com/mailing_list.php.

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.

Recent Open Source Geonews: Open Elevation Service, Denmark Complete in OpenStreetMap, QGIS Improvements, and more

Here's the recent open source / open data geonews covering the last two weeks.

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