• DocumentCode
    2859303
  • Title

    SAR Interferometric Approaches for the Analysis of Structural Forest Parameters: State of the Art and Perspectives for Brazilian Studies

  • Author

    Santos, João Roberto dos ; Neeff, Till ; Dutra, Luciano V. ; Gama, Fabio Furlan ; Mura, José Claudio ; Freitas, Corina Costa

  • Author_Institution
    Earth Obs. Gen. Coordination - OBT, INPE - Nat. Inst. for Space Res., Sao Jose dos Campos
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    2201
  • Lastpage
    2204
  • Abstract
    This paper presents three practical examples of airborne InSAR data application to improve the knowledge of forest structures. Two experiments were done in the Amazon tropical forest to study the spatial distribution of VLTs in the primary forest using LM filtering and a series of Markov processes and others, to map and model the estimation of biomass variations in primary and secondary forests. The third experiment refers to the relation of SAR data and the volumetric configuration of Eucalyptus sp. stands. The advances on the analysis of PolInSAR data are very helpful to increase, in the near future, the regional inventorying of land cover changes in the Brazilian territory.
  • Keywords
    Markov processes; radar interferometry; remote sensing by radar; synthetic aperture radar; vegetation; Amazon tropical forest; Brazilian territory; Eucalyptus sp. stands; LM filtering; Markov processes; PolInSAR data; airborne InSAR data application; biomass variation estimation; land cover changes; primary forest; secondary forest; spatial distribution; structural forest parameters; Azimuth; Biomass; Calibration; Filtering; Ground penetrating radar; Image resolution; Microwave radiometry; Polarization; Radar scattering; Synthetic aperture radar interferometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.569
  • Filename
    4241716