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Part 1: Document Description
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Citation |
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Title: |
VOSTOK - The Voxel Octree Solar Toolkit |
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Identification Number: |
doi:10.11588/data/QNA02B |
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Distributor: |
heiDATA |
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Date of Distribution: |
2020-03-10 |
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Version: |
1 |
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Bibliographic Citation: |
Bechtold, Sebastian; Höfle, Bernhard, 2020, "VOSTOK - The Voxel Octree Solar Toolkit", https://doi.org/10.11588/data/QNA02B, heiDATA, V1 |
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Citation |
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Title: |
VOSTOK - The Voxel Octree Solar Toolkit |
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Identification Number: |
doi:10.11588/data/QNA02B |
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Authoring Entity: |
Bechtold, Sebastian (3D Geospatial Data Processing Group, Institute of Geography, Heidelberg University, Germany) |
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Höfle, Bernhard (3D Geospatial Data Processing Group, Institute of Geography, Heidelberg University, Germany) |
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Producer: |
Bechtold, Sebastian |
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Höfle, Bernhard |
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Date of Production: |
2020-03-10 |
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Distributor: |
heiDATA |
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Access Authority: |
Höfle, Bernhard |
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Holdings Information: |
https://doi.org/10.11588/data/QNA02B |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, solar potential, 3D point cloud, raycasting, VOSTOK |
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Abstract: |
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 (<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). |
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Kind of Data: |
C++ source code, binaries (Windows and Linux) |
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Notes: |
The latest source code is available on github: <a href="https://github.com/GIScience/vostok">https://github.com/GIScience/vostok</a>. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
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. |
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Identification Number: |
https://doi.org/10.1016/j.enbuild.2017.07.084 |
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Bibliographic Citation: |
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. |
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Citation |
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Title: |
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. |
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Identification Number: |
978-3-95606-150-9 |
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Bibliographic Citation: |
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. |
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Citation |
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Title: |
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. |
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Bibliographic Citation: |
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. |
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Citation |
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Title: |
Höfle, B. (2012): Nachhaltige Stromerzeugung - Geoinformationen optimieren Solaranlagen. In: Ruperto Carola Forschungsmagazin. Vol. 1/2012, pp. 44-46. |
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Bibliographic Citation: |
Höfle, B. (2012): Nachhaltige Stromerzeugung - Geoinformationen optimieren Solaranlagen. In: Ruperto Carola Forschungsmagazin. Vol. 1/2012, pp. 44-46. |
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Citation |
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Title: |
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. |
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Identification Number: |
https://doi.org/10.3390/rs3030650 |
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Bibliographic Citation: |
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. |
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Citation |
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Title: |
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. |
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Identification Number: |
https://doi.org/10.3390/s90705241 |
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Bibliographic Citation: |
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. |
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Citation |
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Title: |
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. |
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Bibliographic Citation: |
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. |
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Label: |
README.md |
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Notes: |
text/markdown |
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Label: |
vostok-202003.zip |
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Notes: |
application/zip |