A spatial study of rubber plant health using sentinel 2-A imagery in Cibungur Plantation, Sukabumi, West Java

Abstract

Abstract Rubber plants are one of the plantation commodities which occupy an important position as a source of non-oil and gas foreign exchange for Indonesia. Rubber production is currently experiencing a decline due to reduced productivity in rubber plantations. Rubber plantation problems related to land resources require effective and efficient technological input to determine the health of rubber plants so that they can increase rubber production. Remote sensing technology is one input that can be used as a decision maker to decide problems spatially and quickly, accurately, and dynamically. This study aims to determine the health condition of rubber plants in Cibungur Plantation, Sukabumi, West Java by using high-resolution satellite imagery, namely Sentinel 2-A images processed using the NDVI (Normalized Difference Vegetation Index) method in monitoring the spatial health of rubber plants. The results of this study indicate that the level of distribution of NDVI values in Cibungur Plantation is quite high and rubber plants with very good health conditions have the largest area of 5,365.98 hectares. The NDVI method and Sentinel 2-A image processing used in this study can be used to determine the health of rubber plants in Cibungur Plantation.