Ecology, Environment and Conservation Paper

RECENT UPDATE OF MANGROVE CARBON-STOCK ESTIMATION USING VEGETATION INDEX ANALYSIS AT YOUTEFA BAY, JAYAPURA, PAPUA, INDONESIA

Fitra Yunia Ramba, Anindya Wirasatriya, and Bambang Yulianto

Abstract

The vegetation indices are commonly applied in carbon stock estimation. Vegetation index transformation, which uses several satellite imagery bands, could highlight the vegetation’s characteristics. In situ method in measuring mangrove carbon stock does have a high accuracy value. However, this method is ineffective considering the area and terrain are challenging that consumes time and cost. Remote sensing technology offers a solution to these conditions. This study aims to determine the best vegetation index used in mapping mangrove carbon stock at The Youtefa Bay, Papua, Indonesia. The method used was by applying a Remote sensing approach with several indexes used as well as Difference Vegetation Index (DVI), Enhanced Vegetation Index (EVI), Normalized Difference Vegetation Index (NDVI), and Soil Adjusted Vegetation Index (SAVI). The results showed that the best vegetation index for estimating the mangrove species’ carbon stock Bruguiera cylindrica and Rhizophora apiculata was obtained from the NDVI index with R2 value were 0.5838 and 0.7149, respectively. While the Rhizophora mucronata species was obtained by using the EVI index with an R2 of 0.578. The total biomass of carbon stock in the Bruguiera cylindrica species based on image extraction was 613.51 tons for 37.92 ha, Rhizophora apiculata was 483.17 tons for the area of 98 ha, and Rhizophora mucronata was 377.03 tons for the total area of 77.31 ha.