Persistent Identifier
|
doi:10.11588/data/QNA02B |
Publication Date
|
2020-03-10 |
Title
| VOSTOK - The Voxel Octree Solar Toolkit |
Author
| Bechtold, Sebastian (3D Geospatial Data Processing Group, Institute of Geography, Heidelberg University, Germany)
Höfle, Bernhard (3D Geospatial Data Processing Group, Institute of Geography, Heidelberg University, Germany) |
Point of Contact
|
Use email button above to contact.
Höfle, Bernhard (3D Geospatial Data Processing Group, Institute of Geography, Heidelberg University, Germany) |
Description
| VOSTOK 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 (http://rredc.nrel.gov/solar/codesandalgorithms/solpos/) 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). (2020-03-10) |
Subject
| Earth and Environmental Sciences |
Keyword
| solar potential
3D point cloud
raycasting
VOSTOK |
Related Publication
| 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. doi: https://doi.org/10.1016/j.enbuild.2017.07.084 https://doi.org/10.1016/j.enbuild.2017.07.084
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. isbn: 978-3-95606-150-9
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.
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. doi: https://doi.org/10.3390/rs3030650 https://doi.org/10.3390/rs3030650
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. doi: https://doi.org/10.3390/s90705241 https://doi.org/10.3390/s90705241
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. |
Notes
| The latest source code is available on github: https://github.com/GIScience/vostok. |
Producer
| Bechtold, Sebastian
Höfle, Bernhard (3D Geospatial Data Processing Group, Institute of Geography, Heidelberg University, Germany) |
Production Date
| 2020-03-10 |
Production Location
| Heidelberg |
Data Type
| C++ source code, binaries (Windows and Linux) |