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- W2344349323 abstract "Forest biomass acts as a backbone in regulating the climate by storing carbon within itself. Thus the assessment of forestbiomass is crucial in understanding the dynamics of the environment. Traditionally the destructive methods were adoptedfor the assessment of biomass which were further advanced to the non-destructive methods. The allometric equationsdeveloped by destructive methods were further used in non-destructive methods for the assessment, but they were mostlyapplied for woody/commercial timber species. However now days Remote Sensing data are primarily used for the biomassgeospatial pattern assessment. The Optical Remote Sensing data (Landsat8, LISS III, etc.) are being used very successfullyfor the estimation of above ground biomass (AGB). However optical data is not suitable for all atmospheric/environmentalconditions, because it can’t penetrate through clouds and haze. Thus Radar data is one of the alternate possible ways toacquire data in all-weather conditions irrespective of weather and light. The paper examines the potential of ALOSPALSAR L-band dual polarisation data for the estimation of AGB in the Corbett Tiger Reserve (CTR) covering an areaof 889 km2. The main focus of this study is to explore the accuracy of Polarimetric Scattering Model (Extended WaterCloud Model (EWCM) with respect to Backscatter model in the assessment of AGB. The parameters of the EWCM wereestimated using the decomposition components (Raney Decomposition) and the plot level information. The above groundbiomass in the CTR ranges from 9.6 t/ha to 322.6 t/ha." @default.
- W2344349323 created "2016-06-24" @default.
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- W2344349323 date "2016-04-30" @default.
- W2344349323 modified "2023-10-14" @default.
- W2344349323 title "A comparative analysis of extended water cloud model and backscatter modelling for above-ground biomass assessment in Corbett Tiger Reserve" @default.
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- W2344349323 doi "https://doi.org/10.1117/12.2227891" @default.
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