Point Cloud Based Visibility Analysis: first experimental results

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    Abstract

    Visibility computed from a LiDAR point cloud offers several advantages compared to using a gridded digital height-model. With a higher resolution and detailed information, point cloud data can provide precise analysis as well as an opportunity to avoid the process of generating a surface representation or a solid model. Also a better inclusion of vegetation is expected. This paper describes motivations for using point cloud in visibility analysis and also makes a comparison of using two different data to perform visibility analysis.
    Original languageEnglish
    Title of host publicationProceedings of the 20th AGILE Conference on Geographic Information Science
    Subtitle of host publicationSocietal Geo-innovation
    EditorsArnold Bregt, Tapani Sarjakoski, Ron van Lammeren, Frans Rip
    PublisherWageningen University
    Number of pages5
    ISBN (Print)978-90-816960-7-4
    Publication statusPublished - 2017
    EventAGILE 2017: 20th AGILE International Conference on Geographic Information Science - Wageningen, Netherlands
    Duration: 9 May 201712 May 2017
    https://agile-online.org/index.php/conference/conference-2017

    Conference

    ConferenceAGILE 2017: 20th AGILE International Conference on Geographic Information Science
    CountryNetherlands
    CityWageningen
    Period9/05/1712/05/17
    Internet address

    Keywords

    • Visibility analysis
    • point cloud
    • surface model
    • 3D model

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