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The potential of ALOS-2 SAR data for the estimation of tropical forest structural characteristicswas assessed in Vietnam by collecting forest inventory data. The effect of polarization and seasonalityof the SAR data on the estimation of forest biomass was analyzed. The combination of HH,HV, and HH-HV polarizations using multiple linear regression did not improve the estimation ofbiomass compared to using the HV channel independently, as the HH and HH-HV variables werenot statistically significant. The dry season HV backscattering intensity was highly sensitive to thebiomass compared to the rainy season backscattering intensity. The SAR data acquired in therainy season with humid and wet canopies was not very sensitive to the biomass. The strong dependenceof the biomass estimates with the season of SAR data acquisition confirmed that thechoice of right season SAR data is very important for improving the satellite based estimates of thebiomass. The validation results showed that the dry season HV polarization could explain 54%variation of the biomass.

KEYWORDS

Forest Structure, Forest Biomass, SAR, ALOS-2, Backscattering Intensity, Sensitivity Analysis

Cite this paper

Viet Nguyen, L. , Tateishi, R. , Thanh Nguyen, H. , C. Sharma, R. , Trong To, T. and Mai Le, S. 2016 Estimation of Tropical Forest Structural Characteristics Using ALOS-2 SAR Data. Advances in Remote Sensing, 5, 131-144. doi: 10.4236-ars.2016.52011.





Autor: Luong Viet Nguyen1,2, Ryutaro Tateishi1, Hoan Thanh Nguyen3, Ram C. Sharma1, Tu Trong To2, Son Mai Le2

Fuente: http://www.scirp.org/



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