• DocumentCode
    2855132
  • Title

    The FIFEDOM (Frequent Image Frames Enhanced Digital Orthorectified Mapping) Camera for Automatic Mapping of Tree Species and Structures

  • Author

    Zhang, Frank K. ; Hu, Baoxin ; Miller, John R. ; Gray, Lawrence

  • Author_Institution
    Dept. of Earth & Space Sci. & Eng., York Univ., Toronto, ON
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    1097
  • Lastpage
    1099
  • Abstract
    The FIFEDOM (Frequent Image Frames Enhanced Digital Ortho- rectified Mapping) camera was designed to provide a cost-effective remote sensing method for the accurate acquisition bidirectional surface signatures, which for forest scenes is expected to yield information related to spatial distributions of individual tree species and tree structure with application in forest monitoring and management. Compared with existing regular digital cameras, the FIFEDOM camera has several unique features: (1) it can collect image data not only in the visible bands (550 nm and 670 nm), but also in the near-infrared band (800 nm); (2) it has a frame rate of up to 3 frames per second with a frame size of 3500 x 2300; and (3) it has a wide angular field view with 150 degrees along track and 78.8 degrees across track. Its high frame rate and wide angular field view allow it to obtain a sequence of images that over-sample ground target areas. The multi-angle database and bi-directional reflectance signatures of forest canopies can be generated from the over-sampled image data, which can be used to estimate metrics of tree structural properties.
  • Keywords
    image sensors; vegetation mapping; FIFEDOM camera; Frequent Image Frames Enhanced Digital Ortho- rectified Mapping; bi-directional reflectance signatures; forest canopies; forest management; forest monitoring; near-infrared band; remote sensing method; spatial distributions; tree species; tree structural properties; Calibration; Collimators; Digital cameras; Hyperspectral imaging; Layout; Lenses; Remote monitoring; Remote sensing; Target tracking; Tree data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.283
  • Filename
    4241430