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An effective three-dimensional (3D) data representation is required to assess the spatial distribution of the photovoltaic potential over urban building roofs and facades using 3D city models. Voxels have long

An effective three-dimensional (3D) data representation is required to assess the spatial distribution of the photovoltaic potential over urban building roofs and facades using 3D city models. Voxels have long been used as a spatial data representation, but practical applications of the voxel representation have been limited compared with rasters in traditional two-dimensional (2D) geographic information systems (GIS). We propose to use sparse voxel octree (SVO) as a data representation to extend the GRASS GIS r.sun solar radiation model from 2D to 3D.

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    Date Created
    • 2017-03-31
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.3390/ijgi6040106
    • Identifier Type
      International standard serial number
      Identifier Value
      2220-9964

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    Liang, J., & Gong, J. (2017). A Sparse Voxel Octree-Based Framework for Computing Solar Radiation Using 3D City Models. ISPRS International Journal of Geo-Information, 6(4), 106. doi:10.3390/ijgi6040106

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