Comparing Viewshed Generation from Digital Surface Models and LiDAR Point Clouds
Author Information
Author(s): Orlof Jerzy, Ozimek Paweł, Łabędź Piotr, Widłak Adrian, Ozimek Agnieszka
Primary Institution: Cracow University of Technology, Cracow, Poland
Hypothesis
Does the use of LiDAR point clouds provide more accurate viewshed generation compared to Digital Surface Models in urban environments?
Conclusion
The study found that viewsheds generated from LiDAR point clouds are more precise than those created from Digital Surface Models, especially in urban settings.
Supporting Evidence
- LiDAR point clouds provide detailed three-dimensional information, improving visibility analysis.
- Viewsheds from LiDAR data showed greater precision, with differences in visibility ranging from 1.42% to 5.94%.
- Digital Surface Models often generalize terrain features, leading to less accurate visibility assessments.
- The study utilized six urban locations to assess the effectiveness of both data sources.
- Computational resources required for LiDAR processing limit its application in larger areas.
- Visibility maps generated from point clouds captured more details than those from DSMs.
Takeaway
This study shows that using detailed 3D data from LiDAR helps us see more accurately what can be viewed from different spots in a city compared to simpler models.
Methodology
The study compared viewshed generation using Digital Surface Models and LiDAR point clouds across six urban locations, analyzing visibility and accuracy.
Limitations
The study's findings may not be applicable to larger areas due to the computational intensity of processing point clouds.
Digital Object Identifier (DOI)
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