Penggunaan Citra Satelit Sentinel-2 untuk Estimasi Serapan Nitrogen pada Tanaman Padi (Oryza sativa L.)

Abstract

Paddy is an important commodity for people in Indonesia. Nitrogen is an important nutrient for rice plants. It is necessary to know the absorption of nitrogen elements to ensure that rice plants can absorb nitrogen properly, because a lack of nitrogen will affect the growth and productivity of rice plants. Satellite imagery is a technology that can monitor vegetation from afar, by utilizing a combination of bands according to the vegetation index formula to monitor nitrogen uptake in rice plants. The satellite imagery used is Sentinel-2 which has two types of satellites, namely Sentinel 2A and 2B. Sentinel-2 has a resolution of 10 days and 5 days combined temporal resolution with spatial resolutions are 10 m, 20 m, and 60 m. The spatial resolution used in this research is 10 m. Vegetation indices used in this research are Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), Soil Adjusted Vegetation Index (SAVI), Visible Atmospherically Resistant Index (VARI). The index values that have been obtained are then extracted and a correlation analysis is performed to determine the strength of the relationship. The results obtained, the NDVI vegetation index is the best index, because it has a strong category relationship with the results of laboratory nitrogen analysis, with the highest index correlation coefficient value among the others. The NDVI index also has a strong relationship with chlorophyll and can be used to estimate the productivity of rice plants. The vegetation index value obtained is also influenced by several factors, such as the soil background, and the diversity of objects in one pixel.