• DocumentCode
    3106332
  • Title

    The use of ALS, TLS and VLS measurements in mapping and monitoring urban trees

  • Author

    Holopainen, Markus ; Vastaranta, Mikko ; Kankare, Ville ; Hyyppä, Juha ; Liang, Xinlian ; Litkey, Paula ; Yu, Xiaowei ; Kaartinen, Harri ; Kukko, Antero ; Kaasalainen, Sanna ; Jaakkola, Anttoni ; Hyyppä, Hannu ; Vaaja, Matti

  • Author_Institution
    Univ. of Helsinki, Helsinki, Finland
  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    29
  • Lastpage
    32
  • Abstract
    We evaluated an accuracy and efficiency of laser measurement methods that can be utilized in urban tree mapping and monitoring. In this paper we describe our methods and show the first results of the study. In the field, altogether 44 urban trees located in park environment were measured and mapped from our pilot area located in Seurasaari, Helsinki, Finland. Several laser scanning methods were compared and tested beside direct GPS measurements. These methods included airborne, terrestrial and vehicle-based laser scanning. Tree mapping was done straight from the point clouds. The most cost-efficient method to produce tree maps from the scratch would be ALS combined with field measurements. Our first results showed also great potential of vehicle based laser scanning to be used in updating of existing tree maps and monitoring urban forest environment. The mapping accuracy was in line with traditionally used tachymeter measurements. All of these laser-based measurements were more cost-efficient than tachymeter measurements.
  • Keywords
    Global Positioning System; remote sensing by laser beam; vegetation mapping; ALS measurement; Finland; GPS measurement; Helsinki; Seurasaari; TLS measurement; VLS measurement; laser measurement accuracy; laser measurement efficiency; park environment; point cloud; urban tree mapping; urban tree monitoring; Accuracy; Cities and towns; Global Positioning System; Laser modes; Measurement by laser beam; Monitoring; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event (JURSE), 2011 Joint
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4244-8658-8
  • Type

    conf

  • DOI
    10.1109/JURSE.2011.5764711
  • Filename
    5764711