Secondary succession is an important process in the Amazonian region with implications for the global carbon cycle and
for the sustainable regional agricultural and pasture activities. In order to better discriminate the secondary succession
and to characterize and estimate the aboveground biomass (AGB), backscatter and interferometric SAR data generally
have been analyzed through empirical-based statistical modeling. The objective of this study is to verify the capability of
the full polarimetric PALSAR/ALOS (L-band) attributes, when combined with the interferometric (InSAR) coherence
from the TanDEM-X (X-band), to improve the AGB estimates of the succession chronosequence located in the Brazilian
Tapajós region. In order to perform this study, we carried out multivariate regression using radar attributes and
biophysical parameters acquired during a field inventory. A previous floristic-structural analysis was performed to
establish the chronosequence in three stages: initial vegetation regrowth, intermediate, and advanced regrowth. The
relationship between PALSAR data and AGB was significant (p<0.001) and results suggested that the “volumetric
scattering” (Pv) and “anisotropy” (A) attributes were important to explain the biomass content of the successional
chronosequence (R2adjusted = 0.67; RMSE = 32.29 Mg.ha-1). By adding the TanDEM-derived interferometric coherence
(Υi) into the regression modeling, better results were obtained (R2adjusted = 0.75; RMSE = 28.78Mg.ha-1). When we used
both the L- and X-band attributes, the stock density prediction improved to 10.8 % for the secondary succession stands.
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