Estimating Forest Biomass in Temperate Forests Using Airborne Multi-frequency Polarimetric SAR Data

نویسندگان

  • Shakil Ahmad Romshoo
  • Masanubu Watanabe
چکیده

We used multi-sensor, multi-frequency and multi-polarization SAR data for biophysical parameter retrieval in plantation forests of Northern Japan. The statistical relationships with different biophysical parameters are quite robust for certain frequencies-polarization combination. A combination of different frequencies and polarizations facilitate the retrieval of these parameters with R of 0.95 and rms error of 15.19 tons ha. Further, a large sample of 186 stand age from coniferous species showed a robust relationship for all the three polarizations of the L-band data up to 40 years of age. L-band data provided very good retrieval accuracy for the dry biomass with the SEE = 22.52 tons ha.

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تاریخ انتشار 2006