Oil Palm Productivity Estimation Based on Landsat 8 Vegetation Index, Rainfall, and Fertilization Dosage at PT PSJ, South Sumatera

Abstract

Estimating oil palm production is one of the essential factors in palm oil management planning which is still done conventionally. This process uses more workers to take data samples from the fields that need more energy and time to get the data. Meanwhile, the yield estimating process could be done using a remote sensing method to save more energy and time on its implementation. This research was conducted to determine the estimation model of oil palm productivity using parameters from the remote sensing method and the company's data, and determine the relationship between current productivity and the previous data. The parameters used to estimate palm oil productivity are NDVI from Landsat 8, rainfall, rainy days, fertilization dosage, and age of the palm oil tree from the company's data. These parameters were shifted several other months back (M-1, M-2, M-3, M-6, and M-12) and grouped into 6-Months and 12-Months to estimate the palm oil production. The result showed that using the previous data can estimate oil palm productivity. The data that can be considered to estimate palm oil production is 12 months (M-12) shifted back. Also, using 3 parameters (NDVI value, rainfall, and fertilization dosage) is enough to estimate palm oil production.