SCALGO Model is used to construct raster and TIN terrain models from massive terrain points. SCALGO Topology can be used to analyze and simplify the topology of massive raster terrain models, and SCALGO Hydrology contains tools to perform basic hydrological modeling on massive raster terrain models. SCALGO Utility can be used for efficient manipulation and conversion of massive terrain and point data sets.
All SCALGO software can be run through a standalone graphical user-interface or from within ArcGIS and also include an ArcGIS viewer that allows for easy visualization of the output of many of the SCALGO modules.
Information about SCALGO technology, products and services can be found at http://scalgo.com. Future information about SCALGO products and services can also be received directly through Twitter and Facebook.
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 workflows such as those introduced by data tiling. SCALGO is involved in multiple research projects and offer special pricing for academic institutions. SCALGO also offers special non-commercial pricing for national, regional and local governments.
Image Caption: Illustration showing a section of the result of computing the volume of depressions (including depressions inside depressions) using the SCALGO Topology Depression Mapping module on a high-resolution 13000km² raster terrain model. Each cell in a depression is marked with the volume of the depression below the cell. In this figure green cells have high volume, yellow cells medium volume and red cells very low volume. The map can be used in a rough risk assessment where the value in each cell indicates the volume of water that needs to flow to the depression before the cell is under water. The raster elevation model has been hydrological conditioned using the SCALGO Utility Burn module to add buildings and cut bridges and the SCALGO Topology Topological Simplification module was used to remove spurious depressions. The figure also shows the river network as computed by the SCALGO Hydrology Flow Accumulation module.