• DocumentCode
    299123
  • Title

    Multiband polarimetric SAR in support of tropical forest resources assessment

  • Author

    Van der Sanden, Joost J. ; Hoekman, Dirk H.

  • Author_Institution
    Dept. of Water Resources, Wageningen Agric. Univ., Netherlands
  • Volume
    2
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    1207
  • Abstract
    Discusses results of an analysis of C-, L- and P-band polarimetric radar data for primary tropical forests and derived vegetation types (selectively logged forest, secondary forest and nonforest). The scattering behaviour of primary tropical forest is evaluated and, in addition, there is a discussion on the capability of the AIRSAR data for classification of the studied tropical cover types. It is found that the tropical forest canopy is dominating the backscatter in all frequencies. Trunk-ground interaction in P-band is almost absent as it is obstructed by high amounts of canopy biomass. A single C-band proves to be of little value for classification. Single L- and P-bands suffice for the identification of non-forested areas. Classification of logged, secondary and primary forests requires a combination of two or three bands. Combinations that include P-band data perform better than combinations with L-band
  • Keywords
    forestry; geophysical techniques; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; AIRSAR; C-band; L-band; P-band; SAR imaging; SHF UHF; backscatter; canopy biomass; classification; geophysical measurement technique; logged forest; microwave radar; multiband polarimetric SAR; nonforest; radar polarimetry; radar remote sensing; secondary forest; synthetic aperture radar; tropical forest resource assessment; trunk-ground interaction; vegetation mapping; vegetation type; Airborne radar; Backscatter; Biomass; Data mining; Frequency; L-band; Radar polarimetry; Radar remote sensing; Radar scattering; Remote monitoring; Remote sensing; Spaceborne radar; Vegetation; Water resources;
  • 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.1995.521185
  • Filename
    521185