• DocumentCode
    339457
  • Title

    The use of JERS-1 and RADARSAT images for land use classification in the Amazon region

  • Author

    Freitas, Carina Da Costa ; Sant´Anna, S.J.S. ; Renno, Camilo Daleles

  • Author_Institution
    INPE-DPI, Sao Jose dos Campos, SP, Brazil
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1649
  • Abstract
    The objective of this paper is to compare the potential of RADARSAT and JERS-1 images to discriminate primary forest, secondary forest and recent activities areas in Amazon. The surrounds of Tapajos National Forest (Para State, Brazil) was used as a study site. Tonal and textural parameters were used in the analysis. It is shown that the discrimination between primary forest and secondary forest was only possible with RADARSAT image, and recent activities was better classified with the use of the JERS-1 image
  • Keywords
    forestry; geophysical techniques; remote sensing by radar; spaceborne radar; synthetic aperture radar; terrain mapping; vegetation mapping; Amazon region; Brazil; JERS-1; Para State; RADARSAT; SAR; Tapajos National Forest; land use classification; measurement technique; primary forest; radar remote sensing; secondary forest; synthetic aperture radar; terrain mapping; textural parameters; texture; tonal parameters; tropical forest; vegetation mapping; Classification algorithms; Filtering; Filters; Image analysis; Performance evaluation; Pixel; Radar imaging; Radiometry; Speckle; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
  • Conference_Location
    Hamburg
  • Print_ISBN
    0-7803-5207-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1999.772048
  • Filename
    772048