• DocumentCode
    765362
  • Title

    Multitemporal repeat-pass SAR interferometry of boreal forests

  • Author

    Askne, Jan ; Santoro, Maurizio ; Smith, Gary ; Fransson, Johan E S

  • Author_Institution
    Dept. of Radio & Space Sci., Chalmers Univ. of Technol., Goteborg, Sweden
  • Volume
    41
  • Issue
    7
  • fYear
    2003
  • fDate
    7/1/2003 12:00:00 AM
  • Firstpage
    1540
  • Lastpage
    1550
  • Abstract
    Multitemporal European Remote Sensing satellites 1 and 2 (ERS-1/2) and the Japanese Earth Resources Satellite 1 (JERS-1) interferometric synthetic aperture radar (InSAR) data from a boreal forest test site in Sweden (stem volumes up to 335 m3/ha, equivalent to above-ground dry biomass of ∼200 tons/ha) are studied in order to estimate stem volume using coherence and backscatter. The changes of JERS-1 backscatter and ERS-1/2 tandem coherence between images are consistent over the area studied, in contrast to ERS-1/2 backscatter. A model-based regression analysis has been performed, and the use of the model for inversion is discussed and compared with other approaches found in the literature. The model parameters are discussed in terms of their relation to wind speed and temperature. Results from the different acquisitions are combined to improve the stem volume estimation. The accuracy in terms of rms error (RMSE) for standwise estimated stem volume is ≈10 m3/ha using ERS-1/2 coherence. Using backscatter and coherence from JERS-1 we obtain an RMSE of ≈30-35 m3/ha. Finally, conditions for accurate retrieval of stem volume using multitemporal InSAR observations are discussed. We conclude that C- and L-band repeat-pass InSAR can provide stem volume estimates in boreal forests with accuracies similar to those of standard in situ measurements.
  • Keywords
    forestry; geophysical techniques; radar cross-sections; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; C-band; ERS-1; ERS-2; InSAR; JERS-1; L-band; SAR; Sweden; backscatter; biomass; boreal forest; coherence; forestry; geophysical measurement technique; multitemporal repeat pass method; radar remote sensing; radar scattering; stem volume; synthetic aperture radar; vegetation mapping; Backscatter; Biomass; Coherence; Earth; Regression analysis; Remote sensing; Satellites; Synthetic aperture radar interferometry; Testing; Wind speed;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2003.813397
  • Filename
    1221806