Mapping biomass of a temperate deciduous forest using SAR data

Carbon sequestration into trees and forests is an effective and inexpensive way for decreasing the CO2 level in the atmosphere. Hence, accurate measurement of forest biomass will be important to global carbon cycle and climate change. This study performed a wavelet-based forest aboveground biomass estimation approach in a temperate deciduous forest in north of Iran. Two-dimensional discrete wavelet transform (DWT) was applied to PALSAR images in order to obtain wavelet coefficients, which were correlated with forest inventory data using multiple linear regression analysis to investigate the relationship. The results indicate that wavelet coefficients have a good correlation with field biomass data. This study demonstrates that wavelet-based biomass estimation could be a very promising approach for solving the uncertainty between radar texture measures and forest biomass

Keywords:

biomass , ALOS PALSAR , forest , wavelet coefficients