• DocumentCode
    340338
  • Title

    ERS SAR images for tropical rainforest and land use monitoring: change detection over five years and comparison with RADARSAT and JERS SAR images

  • Author

    Kuntz, S. ; Siegert, F. ; Rücker, G.

  • Author_Institution
    Remote Sensing Services GmbH, Wolfratshausen, Germany
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    910
  • Abstract
    Presents results gathered from the project “Tropical Rainforest and Use of Land Investigation” project-TRULI, which was sponsored by the German Space Agency (DARA), ESA/ESRIN and ADRO deploying data from the European ERS-1R, the Canadian RADARSAT and JERS between 1993 and 1998. The focus is on the possibilities of monitoring deforestation in the wet tropics from space by means of visual interpretation of RGB images derived from texture filtering techniques. This method has already successfully been employed in Kalimantan, Indonesia, for monitoring land use changes over a five-year period using ERS-1/2 data. Canada´s RADARSAT offers quite a promising perspective for forest monitoring because its fine beam mode enables imaging at a high spatial resolution
  • Keywords
    remote sensing by radar; synthetic aperture radar; terrain mapping; vegetation mapping; Borneo; Canadian RADARSAT; ERS SAR images; ERS-1/2 data; Indonesia; JERS SAR images; Kalimantan; RGB images; TRULI; Tropical Rainforest and Use of Land Investigation project; change detection; deforestation; fine beam mode; forest monitoring; land use change monitoring; land use monitoring; spaceborne remote sensing; texture filtering techniques; tropical rainforest; visual interpretation; wet tropics; Filtering; Geographic Information Systems; Lighting; Radar detection; Radar imaging; Remote monitoring; Rivers; Soil; Spatial resolution; 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.1999.774482
  • Filename
    774482