Above Ground Biomass Assessment from Combined Optical and SAR Remote Sensing Data

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Kilaparthi Kiran Kumar
Masahiko Nagai
Shinichi Nakamura
Apichon Witayangkurn
Kunnaree Kritiyutanant


Today the carbon content in the atmosphere is predominantly increasing due to green house gas emission and deforestation etc. Forest plays a key role in absorbing carbon dioxide from atmosphere and stores in form of wood biomass which contains nearly 70-80% of global carbon. Spatial distribution of biomass cannot be obtained by inventory techniques so the application of remote sensing in biomass assessment is introduced to solve the problem. Both optical (LANDSAT-8) and synthetic aperture radar (ALOS-2) remote sensing data are used for above ground biomass (AGB) assessment. Biomass that stores in branch and stem of tree can be called as above ground biomass. 20 ground sample plots of 30m*30m utilized for biomass calculation from allometric equations. Optical remote sensing calculates the biomass based on the spectral indices of SAVI and RVI by regression analysis (R²=0.813). Synthetic aperture radar is an emerging technique uses high frequency wavelengths for biomass estimation. HV back scattering shows good relation (R²=0.74) with field calculated biomass compared to HH (R²=0.43) utilizes for biomass model generation by linear regression analysis. Combination of both optical spectral indices (SAVI, RVI) and HV SAR back scattering increases the plantation biomass accuracy to (R²=0.859) compared to optical (R²=0.788) and SAR (R²=0.742).

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