• DocumentCode
    2713375
  • Title

    Close Shot Photogrammetry for Measuring Wind-Drifted Snow Distribution on Stepped Flat Roofs

  • Author

    Yan, Keqin ; Cheng, Tao

  • Author_Institution
    State Key Lab. for Disaster Reduction in Civil Eng., Tongji Univ., Shanghai
  • Volume
    1
  • fYear
    2008
  • fDate
    3-4 Aug. 2008
  • Firstpage
    332
  • Lastpage
    335
  • Abstract
    A contactless inspection using a household digital camera (close shot photogrammetry) is introduced to improve measurement of wind-drifted snow distribution on the lower roof of a stepped flat roof model. Based on the image processing technique, a series of wind tunnel tests under different wind directions are investigated. Then 3-dimensional coordinates of the target points are calculated. Two typical directions are presented and discussed. The calculation results indicate that snow distribution on the lower roof appears to be concave when it is on the windward side. The maximum snow depth is located at the step, and the magnitude is about 2.78 order of the average snow depth. When the lower roof is on the leeward side, the distribution appears to be convex. The maximum depth located 1. OH away from the step, and the magnitude is about 1.2 order of average depth.
  • Keywords
    hydrological techniques; image processing; photogrammetry; snow; close shot photogrammetry; contactless inspection; household digital camera; image processing; snow depth; stepped flat roofs; wind tunnel test; wind-drifted snow distribution; Buildings; Civil engineering; Coordinate measuring machines; Digital cameras; Digital images; Distributed computing; Inspection; Snow; Testing; Time measurement; close shot photogrammetry; contactless inspection; digital camera; wind tunnel test; wind-drifted snow distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3290-5
  • Type

    conf

  • DOI
    10.1109/CCCM.2008.273
  • Filename
    4609526