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2022-12-15T03:35:46Z
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Characteristics of Decomposition Powers of L-Band Multi-Polarimetric SAR in Assessing Tree Growth of Industrial Plantation Forests in the Tropics
Characteristics of Decomposition Powers of L-Band Multi-Polarimetric SAR in Assessing Tree Growth of Industrial Plantation Forests in the Tropics
Kobayashi, Shoko
37952
Omura, Yoshiharu
37953
Sanga-Ngoie, Kazadi
37954
Widyorini, Ragil
37955
Kawai, Shuichi
37956
Supriadi, Bambang
37957
Yamaguchi, Yoshio
19
polarimetric SAR
ALOS/PALSAR
microwave satellite
scattering power
decomposition
fast-growing trees
Acacia
stem volume
forest biomass
A decomposition scheme was applied to ALOS/PALSAR data obtained from a fast-growing tree plantation in Sumatra, Indonesia to extract tree stem information and then estimate the forest stand volume. The scattering power decomposition of the polarimetric SAR data was performed both with and without a rotation matrix and compared to the following field-measured forest biometric parameters: tree diameter, tree height and stand volume. The analytical results involving the rotation matrix correlated better than those without the rotation matrix even for natural scattering surfaces within the forests. Our primary finding was that all of the decomposition powers from the rotated matrix correlated significantly to the forest biometric parameters when divided by the total power. The surface scattering ratio of the total power markedly decreased with the forest growth, whereas the canopy and double-bounce scattering ratios increased. The observations of the decomposition powers were consistent with the tree growth characteristics. Consequently, we found a significant logarithmic relationship between the decomposition powers and the forest biometric parameters that can potentially be used to estimate the forest stand volume.
journal article
MDPI
2012-10
application/pdf
Remote Sensing
10
4
3058
3077
Remote Sensing
20724292
https://niigata-u.repo.nii.ac.jp/record/2586/files/remotesensing-04-01559.pdf
eng
info:doi/10.3390/rs4103058
© 2012 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).