• DocumentCode
    2668847
  • Title

    Integration of first and last return LiDAR with hyperspectral data to characterize forested environments.

  • Author

    Niemann, K. Olaf ; Frazer, Gordon ; Loos, Rafael ; Visintini, Fabio ; Stephen, Roger

  • Author_Institution
    Univ. of Victoria, Victoria
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    1537
  • Lastpage
    1540
  • Abstract
    The fusion of active LiDAR and passive optical hyperspectral data allows us to characterize the forest environments in ways that have not been possible previously with only one data source. This paper describes an airborne platform configured to collect data from multiple sensors simultaneously. Data from the platform have been applied to describe forest environments both in terms to species and structure. Integration of the data yields information and characterization of forest environments than has been possible in the past.
  • Keywords
    forestry; optical radar; remote sensing by laser beam; sensor fusion; airborne platform; first return LiDAR; forested environments; hyperspectral imaging; last return LiDAR; multiple sensors; passive optical hyperspectral data; Biometrics; Data mining; Geography; Hyperspectral imaging; Hyperspectral sensors; Laser radar; Optical imaging; Optical sensors; Sensor phenomena and characterization; Spectroscopy; LiDAR; data fusion; forest attributes; hyperspectral; species clarification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423102
  • Filename
    4423102