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 modelling is chosen for estimating LAI, biomass and carbon content using field data. For the future, how to conduct oil palm management practices such as pruning, harvesting, fertilising and weeding of the respective study areas, remote sensing data using various satellites should be affected. ItâÂÂs easy to manage over large area on the surface using remote sensing data and itâÂÂs very useful for agricultural point of view.
