ரிமோட் சென்சிங் & ஜிஐஎஸ் ஜர்னல்

சுருக்கம்

A Review: Forest Aboveground Biomass (AGB) Estimation Using Satellite Remote Sensing

Gabian Jos, Shattri Mansor, Nitanan Koshy Matthew

Forest ecosystems act as a significant carbon cycle because they constitute large amount of biomass. Though many recent studies have accessed the aboveground biomass (AGB) estimation using remote sensing platform, field in the saturation level of different bands at certain amount of forest biomass and validation from a enough ground truth data remain a huge challenge where non have successfully addressed it. On the other hand, utilizing in-situ data are very costly and tedious as it required a lot of labor to collect the forest tree parameters. Hence, this paper aims to conduct a review on to develop a multi-objective integration of different remote sensing platform to estimate AGB in different region and the existence number of plot samples. A review focused on the relationships between AGB measurements at ground level and available remote sensing data were conducted where recently published article and reports (both printed and electronic materials) were gathered. From the past studies, variety of model was applied using three main methods namely image pre-processing, processing and post-processing. From this review paper, it was found that utilizing L-band SAR data outperformed optical remote sensing satellite in estimating forest aboveground biomass. The backscattering from the SAR or microwave platform shows significant with AGB where the HV polarization was dominance in discriminating forest structure as compare to the HH polarization. Therefore, in the real study the proposed model needs to be assessed with the presence of sufficient amount of field data and indepth investigation with the application of different remote sensing sensors.