Analysis of soil nitrogen content using RGB index from Sentinel-2A and in-situ data on sugarcane plantation land in Jember Regency, Indonesia

Abstract

Nitrogen is the most essential nutrient in the soil that plants need to grow normally. In remote sensing technology, soils with different nitrogen content will show different spectral characteristics, especially in the RGB spectrum. This study measured the nitrogen content of soil collected from 20 soil samples obtained along sugarcane plantations in Jember Regency. The results showed that 85% of the samples had a Nitrogen content of less than 0.5%. Areas that have a nitrogen content of more than 0.5% are located in Balung, Patrang, and Rambi Puji sub-districts. In addition, an RGB index derived from the Sentinel-2A satellite data has been identified. There are 8 different index algorithms applied in this study. Based on the correlation analysis of the RGB index and soil nitrogen content, it shows that the average correlation coefficient of the RGB index and soil nitrogen content is 0.0567. According to the Pearson correlation strength category, it can be interpreted that there is a strong influence of soil nitrogen content on the soil RGB index.