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3D Building Reconstruction

Extract more from your airborne LiDAR

 

 

Traditionally used for forestry, coastal management and the mining industries, today LiDAR is rapidly gaining more prevalence in the geospatial industry as a fast and cost-effection solution for capturing and creating 3D building models for urban planning and environmental simulation modelling.

 

LiDAR as a technology has advanced significantly in the last years and as a result the price for data capture is more affordable than ever. Read below to find out how virtualcitySYSTEMS can help you better leverage your LiDAR data; for more information consult our FAQ.

 

3D Building Reconstruction Services

  • Data qualification and data analysis

  • Best Practices for LiDAR data acquisition

  • 3D building extraction
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     Advantage

  • 1/10 of the processing time required by photogrammetric methods for feature extraction (3D buildings)

  • Automatic creation and file export of building topology (link to topology jpg as pop-up) from LiDAR data: roof, wall, ridge and eaves heights
  • Creation of LoD2 buildings with roof forms for large-scale projects (link zu case studies)
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    BuildingReconstruction vs. Photogrammetry for 3D Building Geometry: A Comparison

     

     

    Photogrammetry

     

    airborne LiDAR

    1.  Lower data capture costs, higher production costs        

     

    1. Higher data capture costs lower extraction costs

    2.  Automatic & semi-automatic processes

     

    2.  Automatic feature extraction, manual editing

    3.  Slow production cycle

     

    3.  Faster project completion

    4.  Delivers only building geometry

     

    4.  Geometry + building attributes (3D topology)

    5.  Average 10-15cm accuracy

     

    5.  Within 1 meter accuracy

     

     

     

     

    Value Added: More Services and Deliverables

    • Building footprint/cadastre map creation upon request

    • Attributed building topology for roof slope and orientation

    • Optional building model delivery in CityGML

     
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