Forest biomass acts as a backbone in regulating the climate by storing carbon within itself. Thus the assessment of forest
biomass is crucial in understanding the dynamics of the environment. Traditionally the destructive methods were adopted
for the assessment of biomass which were further advanced to the non-destructive methods. The allometric equations
developed by destructive methods were further used in non-destructive methods for the assessment, but they were mostly
applied for woody/commercial timber species. However now days Remote Sensing data are primarily used for the biomass
geospatial pattern assessment. The Optical Remote Sensing data (Landsat8, LISS III, etc.) are being used very successfully
for the estimation of above ground biomass (AGB). However optical data is not suitable for all atmospheric/environmental
conditions, because it can’t penetrate through clouds and haze. Thus Radar data is one of the alternate possible ways to
acquire data in all-weather conditions irrespective of weather and light. The paper examines the potential of ALOS
PALSAR L-band dual polarisation data for the estimation of AGB in the Corbett Tiger Reserve (CTR) covering an area
of 889 km2. The main focus of this study is to explore the accuracy of Polarimetric Scattering Model (Extended Water
Cloud Model (EWCM) with respect to Backscatter model in the assessment of AGB. The parameters of the EWCM were
estimated using the decomposition components (Raney Decomposition) and the plot level information. The above ground
biomass in the CTR ranges from 9.6 t/ha to 322.6 t/ha.
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