• DocumentCode
    299071
  • Title

    Investigation of forest areas in Germany and Brazil using SAR data of the SIR-C/X-SAR and other SAR missions

  • Author

    Keil, M. ; Scales, D. ; Winter, R.

  • Author_Institution
    Remote Sensing Data Center, German Aerosp. Res. Establ., Oberpfaffenhofen, Germany
  • Volume
    2
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    997
  • Abstract
    In a PI project for ecology and vegetation monitoring multifrequency SAR data of the SIR-C/X-SAR mission in April and October 1994 are under investigation for forest mapping and rainforest monitoring. Test sites are German forest areas in the Harz Mountains and in Bavaria. Within a cooperation with the National Brasilian Space Research Institute (INPE), a region in the state of Acre in the Brasilian rainforest is included. Investigations in the Harz are based on experience with multifrequency polarimetric. AIRSAR data which have been registered in 1991 by an JPL aircraft. In Acre in the Southwestern Amazon, X-SAR data of April and October 1994 are used for studies of the deforestation dynamics, in comparison with ERS-1 SAR data. Classifications of forest/nonforest areas are in introduced, based on different SAR data. Using SIR-C datasets, the different information content of X-, C- and L-band data is discussed for a rainforest area
  • Keywords
    forestry; geophysical techniques; radar applications; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; AD 1994; Acre; Amazon; Bavaria; Brazil; Germany; Harz Mountains; PI project; SAR; SIR; SIR-C; X-SAR; X-band; forest forestry; geophysical measurement technique; land surface; microwave SHF UHF; multifrequency SAR; radar remote sensing; rainforest; tropical region; vegetation mapping; Aircraft; Ellipsoids; Environmental factors; Histograms; L-band; Layout; Monitoring; Polarization; Rain; Satellites; Snow; Speckle; Storms; Testing; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.521119
  • Filename
    521119