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Visualization of disaster dispersion prediction enables decision makers and civilian to prepare disaster and to reduce the damage by\udshowing the realistic simulation results. With advances of GIS technology and the theory of volcanic disaster prediction algorithm,\udthe predicted disaster dispersions are displayed in spatial information. However, most of volcanic ash dispersion predictions are\uddisplayed in 2D. 2D visualization has a limitation to understand the realistic dispersion prediction since its height could be presented\udonly by colour. Especially for volcanic ash, 3D visualization of dispersion prediction is essential since it could bring out big aircraft\udaccident. In this paper, we deals with 3D visualization techniques of volcanic ash dispersion prediction with spatial information open\udplatform in Korea. First, time-series volcanic ash 3D position and concentrations are calculated with WRF (Weather Research and\udForecasting) model and Modified Fall3D algorithm. For 3D visualization, we propose three techniques; those are 'Cube in the air',\ud'Cube in the cube', and 'Semi-transparent plane in the air' methods. In the 'Cube in the Air', which locates the semitransparent\udcubes having different color depends on its particle concentration. Big cube is not realistic when it is zoomed. Therefore, cube is\uddivided into small cube with Octree algorithm. That is 'Cube in the Cube' algorithm. For more realistic visualization, we apply\ud'Semi-transparent Volcanic Ash Plane' which shows the ash as fog. The results are displayed in the 'V-world' which is a spatial\udinformation open platform implemented by Korean government. Proposed techniques were adopted in Volcanic Disaster Response\udSystem implemented by Korean Ministry of Public Safety and Security

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

3D VISUALIZATION OF VOLCANIC ASH DISPERSION PREDICTION WITH SPATIAL INFORMATION OPEN PLATFORM IN KOREA