Spatial Interpolation to Predict Mangrove above-Ground Carbon in Loh Buaya, Komodo National Park, Indonesia

A study on Loh Buaya, Komodo National Park, reveals that spatial interpolation techniques can accurately predict mangrove above-ground carbon storage. Among the models tested—kriging, spline, topo to raster, and nearest neighbor—Spline With Barrier emerged as the most precise, achieving a Root Mean Square Error (RMSE) of 1.82 Mg C Ha-1. This method offers a promising alternative to traditional terrestrial surveys for estimating carbon sequestration in mangroves, which is challenging due to harsh environmental conditions. The research combines field sampling with Geographic Information Systems (GIS) modeling, demonstrating the potential of remote sensing and spatial analysis to improve carbon mapping accuracy in coastal ecosystems.

Rijal, S. S., Efendi, A., Rudianto, R., Prasidya, M. A., & Noer’Aulia, S. (2024). Spatial Interpolation to Predict Mangrove above-Ground Carbon in Loh Buaya, Komodo National Park, Indonesia. Diffusion Foundations and Materials Applications, 37, 83–90. https://doi.org/10.4028/p-p1w5rv