Spatial Assessment Of Rubber Plant Health Using UAV (Unmanned Aerial Vehicle) Imagery In Cibungur Plantation, Sukabumi, West Java Cipta Setiana (a*), S. Supriatna (b)
Department of Geography, Faculty of Mathematics & Natural Sciences, University Of Indonesia. UI Campus, Depok, 16424 West Java, Indonesia.
Abstract
Rubber is one of the plantation commodities that is promising for the next 20-30 years. The problem of rubber plantations in Indonesia related to land resources requires effective and efficient technological input. This must be pursued to maintain the sustainability of rubber production and health. Remote sensing technology is an input that can be used as a decision maker to decide problems spatially and is fast, accurate, and dynamic. Airborne remote sensing platforms, especially the Unmanned Aerial Vehicle (UAV) are used to map the distribution of rubber plant health. Several vegetation indices, which come from the RGB (red, green, blue) band, namely NDVI (Normalized Difference Vegetation Index). This study aims to analyze the level of distribution of NDVI values, distribution of rubber plant health, and the relationship between NDVI values and the health of rubber plants.
