Soil bioanalysis and vegetation indices such as NDVI and EVI help to monitor soil fertility and the vigor of oil palm. This contributes to optimized and sustainable crop management in the Amazon. However, the integration of these data to elucidate spatial patterns and optimize soil management remains limited. The objective of this study was to evaluate the relationship between Soil Bioanalysis (BioAS) and vegetation spectral indices (NDVI and EVI) within a conventional oil palm (Elaeis guineensis Jacq.) plantation in northeastern Pará, Brazil. The following attributes were analyzed: Arylsulfatase, β-glucosidase, SQI Biological, SQI Chemical, SQI FertBio, and cycling, storing, and supplying nutrients functions. Geostatistical analysis revealed strong spatial dependence for most of the attributes, allowing interpolation by ordinary kriging to generate predictive maps. Principal Component Analysis (PCA) indicated an inverse relationship between the spectral indices and the soil’s biological attributes, suggesting that areas with higher vegetative vigor may be associated with changes in nutrient dynamics and other soil-related factors, such as physical properties and water availability, under the studied conditions. In addition, orthogonality was observed between NDVI, EVI, and some soil attributes, such as F3 - Supplying Nutrients, SQI Chemical, SQI FertBio, and arylsulfatase, indicating a lack of direct correlation under the studied conditions. These results highlight the importance of integrating soil bioanalysis, remote sensing, and geostatistical techniques to improve the understanding and monitoring of soil conditions and oil palm productivity.