Estimasi Stok Karbon Mangrove di Atas Permukaan Tanah Menggunakan Citra Satelit SAR (Synthetic Aperture Radar) Sentinel-1A di Kecamatan Medan Belawan

Abstract

Mangroves play a crucial role in absorbing CO₂ from the atmosphere through photosynthesis. The stored CO₂ is sequestered in aboveground and belowground biomass as well as within the sediment. These forests are renowned for their ability to retain high levels of carbon. It is essential to monitor and map changes in mangrove forests to better understand their response to climate change. This study aims to gather insights into the spatial distribution of aboveground carbon using Sentinel-1A satellite imagery in the Medan Belawan District, Medan City. Carbon content is estimated using allometric equations. A map displaying the distribution of carbon stock is created based on the selected model using VV, VH, VV/VH, VV + VH, and VV-VH backscatter. The average potential carbon content in the selected model is 74.6 tons per hectare. The best model for estimating potential aboveground carbon is a linear regression model with VV+VH backscatter, with the equation y = 309.75x + 13.357. The RMSE is 8.54 and the paired t-test value is 0.393.