GRASS GIS at US-IALE 2017 Annual Meeting

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The US-IALE 2017 Annual Meeting, People, Places, Patterns: Linking Landscape Heterogeneity and Socio-Environmental Systems, April 9 - 13, Baltimore, Maryland, http://baltimore2017.usiale.org

Presentations

3D rasters are powerful and you already know how to use them

by Vaclav Petras (presenter), Anna Petrasova, and Helena Mitasova from North Carolina State University

  • Abstract: 3D rasters (aka voxel models) have been used to represent and process hyperspectral data, describe forest and habitat properties, analyze measured spatio-temporal data, or explore simulation scenario space. 2D and 2.5D does not explicitly represent and model 3D relationships in fully 3D systems such as forest ecosystems. 3D rasters on the other hand, preserve the original relationships in the 3D data. The relationships in the third dimension may be different from the first two dimensions which distinguishes 3D rasters from 2D rasters. Other than that, 3D rasters are very similar to the commonly used 2D rasters and there are tools available to process them including Python, R, or Octave. We will demonstrate 3D raster algebra in GRASS GIS as an example of 3D raster processing fully integrated into a general-purpose GIS and remote sensing tool. Using examples of terrain evolution data, 3D vegetation structure derived from lidar point clouds, and spatio-temporal data representing behavioral patterns of people in urban environments, we will look not only at the processing but also at the visualization of 3D rasters. Finally, we will show how to use Python and Bash scripting or visual programming to make the best use of 3D rasters.