Table of Contents
Land, Volume 9, Issue 6 (June 2020) – 38 articles
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Cover Story (view full-size image) This study aimed at estimating forest aboveground biomass (AGB) in the Central Kalimantan tropical [...] Read more. This study aimed at estimating forest aboveground biomass (AGB) in the Central Kalimantan tropical peatland forest, Indonesia, using polarimetric parameters extracted from RadarSAT-2 images. These included backscattering coefficient (σo), entropy (H), alpha (α), surface scattering (γsurf), volume scattering (γvol), canopy structure index (CSI), volume scattering index (VSI), radar vegetation index (RVI), and pedestal height (ph). Regression analysis was performed between referenced biomass measurements and polarimetric parameters; VSI, H, RVI, ph, and γvol were found to be significantly correlated with AGB. Resultant models were validated, showing a significant correlation between measured and referenced biomass measurements with temporal consistency over the acquisition time period. View this paper