Author : Tin Moe Htut

Summary : The objective of this research is to combine remote sensing technology and empirical modeling in estimating biomass and carbon stock of oil palm (Elaeis guineensis) in Salim Indoplantation in Riau, Sumatra. Remote sensing technology using satellite images has a view of large areas of the surface to estimate the values of NDVI. Empirical modeling is chosen for estimating LAI, biomass and carbon content using field data. The results of this research have been determined NDVI values, LAI (based on NDVI), biomass and carbon content of the study area. Estimation of LAI is based on NDVI values and correlation coefficient of linear regression betweenNDVI values and LAI (R2) is 0.78 and the equation is LAI = (15.58 * NDVI - 8.08). The correlation coefficient between LAI and plant height is 0.86, with formula of H (field) A = (125.23 * LAI - 171.1). Measured data of LAI and plant height were obtained from 22 sample blocks and the developed regression equations are then used for the whole study area. Biomass is then calculated based on plant height as follows : Biomass (ton/ha) = (0.3747 * (H + 3.6334) * P/1000) by (FAO, 1997). Estimation of carbon is based on Carbon (ton/ha) = (37.87 * Biomass/100). The total biomass is 11366.64 ton (320.16 ton/yr) and total carbon content is 4304.55 ton (121.25 ton/yr) for the whole study area. There are 9 age groups in all the study area positively correlated with biomass and the correlation coefficient is 0.63.