oil palms industry has strategic role as the biggest contributor for foreign exchange in Indonesia. Meanwhile, Indonesia also the largest producer of oil palms all over the world. However, the productivity value is still less than optimal. Government policy through Presidencial decree Number 8 Year 2018 regarding moratorium/postponement and evaluation on oil palms plantation permit, gives mandate to stakeholders to increase productivity by intensification that needs technological support. The use of remote sensing technology allows the monitoring of oil palms plantation in giving direction for management policy making. This research aims to estimate the remote-sensing based productivity of oil palms plantation by utilizing satellite imagery data of SPOT 6. Method uses in this research is artificial neural network method, one of which detects the plant’s life age and analayze through linear regression which involving Normalized Different Vegetation Index (NDVI) value and production to have estimation of production. Results of the research shows that using ANN can predict oil palm plantation life age by 87% of accuracy. Meanwhile, production estimation done using NDVI for estimation of production generated an estimation formula Y = -24391 -766 X1 + 65482 X2.

Keywords : Production, Oil Palms Plantation, Artificial Neural Network, Spot 6.