• DocumentCode
    297812
  • Title

    Use of ERS-1 SAR data for forest monitoring in South Sumatra

  • Author

    Le Toan, Thuy ; Ribbes, Florence ; Hahn, Thomas ; Floury, Nicolas ; Wasrin, Upik Rosalina

  • Author_Institution
    Univ. Paul Sabatier, Toulouse, France
  • Volume
    2
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    842
  • Abstract
    In the frame of the joint ESA-CEC TREES project, the capacity of ERS-1 SAR data for mapping tropical forest, has been evaluated. The authors investigate new methods of discriminating forests from deforested areas using ERS-1 data over South Sumatra. The method developed is based on the temporal variation of the radar backscatter assessed by the ratio between two images, which permit to reduce the effect of terrain topography. The results show that using multitemporal data, with optimal acquisition periods, good forest/non forest discrimination could be achieved with the ratio based classifier. The investigation of 5 multitemporal ERS-1 images permitted to build a forest/non forest map of the South of Sumatra (60 000 km2)
  • Keywords
    forestry; geophysical signal processing; geophysical techniques; image classification; image sequences; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; ERS-1; Indonesia; SAR; Sumatra; TREES project; deforested area; forestry; geophysical measurement technique; image classification; image sequence; land surface; multitemporal images; radar backscatter; radar imaging; radar remote sensing; spaceborne radar; synthetic aperture radar; temporal variation; tropical forest; vegetation mapping; Backscatter; Data acquisition; Data mining; Environmental factors; Monitoring; Radar imaging; Rain; Synthetic aperture radar; Terrain mapping; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516495
  • Filename
    516495