Application of the NDVI and ARVI methods in measuring estimated productivity of oil palm plants using Landsat 8 Imagery at PT. Hindoli Cargill Indonesia

¹ Technology and Management of Plantation, College of Vocational Studies. Bogor Agricultural University, Indonesia
² Center of Regional System Analysis, Planning, and Development (CresPent) LPPM, Bogor Agricultural University, Indonesia

^* Corresponding author: hakim12luqmanul@apps.ipb.ac.id

Abstract

The NDVI (Normalized Difference Vegetation Index) method is one of the usually used vegetation index transformations in society. The NDVI value is used to evaluate the density and health conditions of oil palm plants. The ARVI (Atmospherically Resistant Vegetation Index) method is one of the vegetation index transformations that focuses on suppressing atmospheric influences. The ARVI method focuses on identifying the density level of vegetation despite atmospheric effects. The atmosphere plays a crucial role in vegetation data processing activities for oil palm plants. The issue addressed in this research is to compare and measure the accuracy of production estimation data generated using the NDVI and ARVI methods. The method we used in this research is to analyze Landsat-8 remote sensing data using ArcMap 10.4.1 software to produce various vegetation indices for which several tests. The final results that will be obtained in this research are production distribution data estimated using the NDVI index, ARVI index, and actual production in the field. Based on research using simple linear regression analysis, vegetation index value, the productivity obtained using the NDVI method is 2,122 tons/ha/month, and using the ARVI method is also 2,122 tons/ha/month. This corresponds to the actual field productivity value of 2,122 kg/ha/month.