VOSTOK - The Voxel Octree Solar Toolkitdoi:10.11588/data/QNA02BheiDATA2020-03-101Bechtold, Sebastian; Höfle, Bernhard, 2020, "VOSTOK - The Voxel Octree Solar Toolkit", https://doi.org/10.11588/data/QNA02B, heiDATA, V1VOSTOK - The Voxel Octree Solar Toolkitdoi:10.11588/data/QNA02BBechtold, SebastianHöfle, BernhardBechtold, SebastianHöfle, Bernhard2020-03-10HeidelbergheiDATAHöfle, BernhardEarth and Environmental Sciencessolar potential3D point cloudraycastingVOSTOKVOSTOK is a command-line tool to compute a detailed model of incoming solar radiation distribution on a patch of land, including structures like buildings and vegetation, represented by a 3D point cloud data set. The program is written in C++ and makes use of the "SOLPOS.H" library (<a href="http://rredc.nrel.gov/solar/codesandalgorithms/solpos/">http://rredc.nrel.gov/solar/codesandalgorithms/solpos/</a>) to compute the angular position of the sun in the sky for a given location on Earth and a given moment in time. VOSTOK can use any 3D point cloud (e.g. LIDAR, SfM) as XYZ-locations (with surface normal vector information) for which the incoming sunlight shall be computed (the computation points).C++ source code, binaries (Windows and Linux)The latest source code is available on github:
<a href="https://github.com/GIScience/vostok">https://github.com/GIScience/vostok</a>.Lin, T.-P., Lin, F.-Y., Wu, P.-R., Hämmerle, M., Höfle, B., Bechtold, S., Hwang, R.-L. & Chen, Y.-C. (2017): Multiscale Analysis and Reduction Measures of Urban Carbon Dioxide Budget Based on Building Energy Consumption. Energy and Buildings. Vol. 153, pp. 356-367.https://doi.org/10.1016/j.enbuild.2017.07.084Lin, T.-P., Lin, F.-Y., Wu, P.-R., Hämmerle, M., Höfle, B., Bechtold, S., Hwang, R.-L. & Chen, Y.-C. (2017): Multiscale Analysis and Reduction Measures of Urban Carbon Dioxide Budget Based on Building Energy Consumption. Energy and Buildings. Vol. 153, pp. 356-367.Gündra, H., Barron, C., Henrichs, T., Jäger, S., Höfle, B., Marx, S., Peters, R., Reimer, A. & Zipf, A. (2015): Standortkataster für Lärmschutzanlagen mit Ertragsprognose für potenzielle Photovoltaik-Anwendungen. Berichte der Bundesanstalt für Straßenwesen (BASt), Heft V 252, pp. 1-48.978-3-95606-150-9Gündra, H., Barron, C., Henrichs, T., Jäger, S., Höfle, B., Marx, S., Peters, R., Reimer, A. & Zipf, A. (2015): Standortkataster für Lärmschutzanlagen mit Ertragsprognose für potenzielle Photovoltaik-Anwendungen. Berichte der Bundesanstalt für Straßenwesen (BASt), Heft V 252, pp. 1-48.Regvat, R., Hämmerle, M., Marx, S., Koenig, K. & Höfle, B. (2014): 3D-punktbasierte Solarpotenzialanalyse für Gebäudefassaden mit freien Geodaten. In: Strobl, J., Blaschke, T., Griesebner, G. & Zagel, B. Angewandte Geoinformatik 2014, pp. 196-204. Wichmann.Regvat, R., Hämmerle, M., Marx, S., Koenig, K. & Höfle, B. (2014): 3D-punktbasierte Solarpotenzialanalyse für Gebäudefassaden mit freien Geodaten. In: Strobl, J., Blaschke, T., Griesebner, G. & Zagel, B. Angewandte Geoinformatik 2014, pp. 196-204. Wichmann.Höfle, B. (2012): Nachhaltige Stromerzeugung - Geoinformationen optimieren Solaranlagen. In: Ruperto Carola Forschungsmagazin. Vol. 1/2012, pp. 44-46.Höfle, B. (2012): Nachhaltige Stromerzeugung - Geoinformationen optimieren Solaranlagen. In: Ruperto Carola Forschungsmagazin. Vol. 1/2012, pp. 44-46.Jochem, A., Höfle, B. & Rutzinger, M. (2011): Extraction of Vertical Walls from Mobile Laser Scanning Data for Solar Potential Assessment. Remote Sensing. Vol. 3 (4), pp. 650-667.https://doi.org/10.3390/rs3030650Jochem, A., Höfle, B. & Rutzinger, M. (2011): Extraction of Vertical Walls from Mobile Laser Scanning Data for Solar Potential Assessment. Remote Sensing. Vol. 3 (4), pp. 650-667.Jochem, A., Höfle, B., Rutzinger, M. & Pfeifer, N. (2009): Automatic roof plane detection and analysis in airborne LIDAR point clouds for solar potential assessment. Sensors. Vol. 9 (7), pp. 5241-5262.https://doi.org/10.3390/s90705241Jochem, A., Höfle, B., Rutzinger, M. & Pfeifer, N. (2009): Automatic roof plane detection and analysis in airborne LIDAR point clouds for solar potential assessment. Sensors. Vol. 9 (7), pp. 5241-5262.Jochem, A., Höfle, B., Hollaus, M. & Rutzinger, M. (2009): Object detection in airborne LIDAR data for improved solar radiation modeling in urban areas. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII(Part 3/W8), pp. 1-6.Jochem, A., Höfle, B., Hollaus, M. & Rutzinger, M. (2009): Object detection in airborne LIDAR data for improved solar radiation modeling in urban areas. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII(Part 3/W8), pp. 1-6.README.mdtext/markdownvostok-202003.zipapplication/zip