Temporal analysis of the maize crop using the Copernicus and Granular link platforms

Résumé

Precision agriculture is associated with digital transformation and technological innovation. The data provided by remote sensing sensors, combined with data from other sources of information, offers the agricultural entrepreneur a more efficient view than direct observation in the field, enabling more informed and sustainable decision-making. This study used data from two platforms, Copernicus and Granular Link, to assess the behavior of the NDVI, NDMI and NDRE vegetation indices throughout the maize crop cycle of a plot located in Vale Figueira, Santarém, during the year 2021. In later stages of the crop, differences were found at saturation level, between NDVI and NDRE. The correlation of these indices with the NDMI was greater between the NDMI and the NDRE. The spatial variability found in the right part of the plot agrees with the strong relationship between yield and values. Processing and analyzing images from the Granular Link platform were faster and easier than those obtained from the Copernicus platform. In this way, the Granular Link platform enables almost real-time monitoring. However, it is not possible to carry out analyses that are not part of the contracted service.