• DocumentCode
    29727
  • Title

    Automated Urban Analysis Based on LiDAR-Derived Building Models

  • Author

    Gonzalez-Aguilera, D. ; Crespo-Matellan, E. ; Hernandez-Lopez, D. ; Rodriguez-Gonzalvez, P.

  • Author_Institution
    Dept. of Cartographic & Land Eng., Salamanca Univ., Avila, Spain
  • Volume
    51
  • Issue
    3
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    1844
  • Lastpage
    1851
  • Abstract
    Building density information plays an essential role in the design, planning, and management of modern cities. This paper presents an automated approach to urban analysis using airborne laser scanner data to derive geometric information (heights, areas, and volumes) and urban density attributes (building coverage ratio and floor area ratio) of buildings, land lots, and urban units. In particular, four urban units are analyzed in the city of Avila, Spain, which has experienced considerable growth in recent years. The urban map and building density results are used to validate the utility of the automated method with respect to cadastral data and applicable regulations (Urban Land Law, 2008, and Urban Regulation General Plan, 2005). The algorithms for these operations are implemented in the Spatial Analyst ArcGIS extension module.
  • Keywords
    building; geographic information systems; geophysical image processing; land use planning; optical radar; ArcGIS extension module; LiDAR; Spain; airborne laser scanner; automated urban analysis; building density information; building model; land lot; modern city design; modern city management; modern city planning; urban density attribute; urban map; urban unit; Accuracy; Buildings; Cities and towns; Image reconstruction; Laser modes; Laser radar; Vectors; Building density; building extraction; light detection and ranging (LiDAR); urban analysis;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2012.2205931
  • Filename
    6257471