Spatial Study of Oil Palm Plant Health Using Sentinel 2 Imagery at PTPN VIII Cikasungka Plantation, Bogor, West Java

Abstract

Abstract Oil palm (Elaeis guineensis Jacq.) is a plantation commodity that is the highest producer and exporter in Indonesia and has high economic value. Increasing oil palm productivity requires several factors, one of which is plant health. Therefore, detecting the health condition of oil palm plants requires research with spatial analysis and a remote sensing method that can monitor plantation data collection strategies efficiently and effectively. One of them is Sentinel-2 using the NDVI algorithm. The algorithm can estimate the relationship between vegetation and health conditions. This study resulted in very healthy plants having NDVI values ranging from 0.80-0.85, healthy plants having NDVI values ranging from 0.76-0.80, critical plants having NDVI values ranging from 0.72-0.76, and unhealthy plants having NDVI values ranging from 0.68-0.72. The distribution of the NDVI value at the PTPN VIII Cikasungka Plantation in January 2022 has a high NDVI value and is spread over every area of the district.