• DocumentCode
    3191234
  • Title

    Vegetation Control of Transmission Lines Right-of-way

  • Author

    Jardini, M.G.M. ; Jardini, J.A. ; Magrini, L.C. ; Masuda, M. ; Le Silva, P.R. ; Quintanilha, J.A. ; Beltrame, A.M.K. ; Jacobsen, R.M.

  • Author_Institution
    Escola Polytech. da Univ. de Sao Paulo, Sao Paulo
  • fYear
    2007
  • fDate
    14-16 June 2007
  • Firstpage
    660
  • Lastpage
    665
  • Abstract
    The vegetation occupies a considerable part of the domain limits of the powerlines in the region north of Brazil. Surveillance and monitoring of the right-of-ways in all the Brazilian transmission lines, regarding the clearing and cleaning, are periodically done through field inspection or by using a helicopter. In this context, the remote sensing is presented as efficient tool in the biophysics identification of areas of vegetal coverage and its characteristics - through techniques as indices of vegetation and classification of images - supplying subsidies to its diagnosis and monitoring. Once identified any irregularity, the TBE Company begins its plan for the next cleaning and clearing task. One of the Company´s line, located in the Northern part of Brazil (Amazon area), deserves special attention due to dense vegetation surrounding this line right-of-way. Information Systems containing geo-referenced data of the transmission assets, lands where the line passes, vegetation around the line and the applicatives utilized are useful tools to improve the efficiency of the maintenance engineering. Satellite images, aerophotogranometry, videography and airborne laser scanning are now available in the market. Due to the accuracy they offer (spatial resolution), these tools can well be applied to track not only invasions to the transmission line right-of-way but also to monitor the surrounding vegetation. In this paper is also presented an analysis of vegetation made for about 40 km of powerlines, using Quickbird image, considering the necessity of raised space resolution for coverage of the band - 100 m of edge of the line - as well as in the distance enters the vain ones of the towers, of 420 m on average. It obtained vegetation classification accuracy of 85,9% using Maxver classifier.
  • Keywords
    surveillance; transmission lines; vegetation mapping; biophysics identification; field inspection; remote sensing; right of way; surveillance; transmission lines; vegetation control; Biophysics; Cleaning; Helicopters; Information systems; Inspection; Power transmission lines; Remote monitoring; Surveillance; Transmission lines; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Space Technologies, 2007. RAST '07. 3rd International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    1-4244-1057-6
  • Electronic_ISBN
    1-4244-1057-6
  • Type

    conf

  • DOI
    10.1109/RAST.2007.4284075
  • Filename
    4284075