Abstract
Usage of remote sensing technology has increased for estimation of Above Ground Biomass (AGB) due to accessibility issues within the forests. Current study is piloted for mangroves of Mundra taluka in Kachchh district, western India. The study aims to validate and compare various allometric models for mangrove Above Ground Biomass (AGB) estimation to find out best suitable model. Models are validated by extensive ground truth. The most suitable allometric model is then used to develop a novel methodology to estimate AGB using dual-pol Sentinel-1A Synthetic Aperture Radar (SAR) data. This study is first of its kind, implemented for Indian mangroves, using Polarimetric Radar Vegetation Index (PRVI) for modelling AGB. The study also incorporates time series change detection in AGB within the study area. Our results suggest that amalgamation of field measurements, allometric equations and remote sensing technology can be the vital solution for modelling Above Ground Biomass of mangrove forest.
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