Above-ground biomass mapping of mangrove forest using WorldView-3 imagery in Gili Lawang, Nusa Tenggara Barat

Abstract

Mangrove ecosystems are one of the blue carbon parameters with large carbon storage capabilities. The carbon sequestration is crucial in addressing the greenhouse effect that causes the rise of carbon emissions in the atmosphere. One of the measurements that can be made is the estimation of mangrove above-ground biomass (AGB). This is due to the binding of carbon stored in the form of mangrove biomass. The aim of this research is to estimate and map the spatial distribution of mangrove above-ground biomass (AGB) is conducted using WorldView-3 (WV-3) image, a high spatial resolution remote sensing data. We used Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) to estimate mangrove above-ground biomass (AGB). Field data obtained from measuring mangrove tree diameter at breast height (DBH) which is then calculated using the allometric equation. We conducted regression analysis between field data and vegetation indices (NDVI and SAVI) to determine the most accurate vegetation index for estimating mangrove above-ground biomass values varied across thhe mangrove forest. This results of this researchs shows that the NDVI vegetation index provided higher accuracy for mangrove AGB estimation than SAVI index with R 2 of 0,603 and resulting the AGB value between 750 to 1.300 kg/m 2 .