• DocumentCode
    326245
  • Title

    Integration of multi-sensor data to characterize Amazon river floodplain habitats

  • Author

    Shimabukuro, Yosio Edemir ; De Moraes Novo, E. ; Melack, John M. ; Mertes, LealK

  • Author_Institution
    Div. de Sensoriamento Remoto, Inst. Nacional de Pesquisas Espaciais, Sao Paulo, Brazil
  • Volume
    2
  • fYear
    1998
  • fDate
    6-10 Jul 1998
  • Firstpage
    837
  • Abstract
    This paper reports on the integration of multi-sensor data to characterize floodplain habitats in the lower reach of the Amazon River. The study area is located between the Tapajos river mouth and the Xingu River mouth. Three data sets are available for this study: C-band ScanSAR wide mode RADARSAT images, L-band SAR JERS-1 images and TM/Landsat images. The RADARSAT C-band image enhanced floodplain boundaries and hydrodynamic differences between the Tapajos and Xingu rivers. The JERS-1 L-band images improved the detection of recent clear cut areas allowing the update of deforested areas especially where the cloud cover prevented the acquisition of optical data such as TM. As the shaded fraction image derived from TM data also enhances deforested areas, the combination of JERS-I and TM shade fraction are an optimal data set to estimate the increment of deforested areas
  • Keywords
    remote sensing by radar; rivers; spaceborne radar; Amazon river floodplain habitats; C-band ScanSAR wide mode RADARSAT images; L-band SAR JERS-1 images; TM/Landsat images; Tapajos river mouth; Xingu River mouth; clear cut areas; cloud cover; deforested areas; floodplain boundaries; hydrodynamic differences; multi-sensor data; shaded fraction; Environmental management; Hydrodynamics; Mouth; Pixel; Principal component analysis; Remote sensing; Rivers; Satellites; Soil; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-4403-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.1998.699600
  • Filename
    699600