Use of Sentinel-2 sat for Precision Agriculture techniques in arable fields: Results of a case study

Alexandre Escola

This work assesses the potential of Sentinel-2A images in precision agriculture for Barley production in a case study. Two workflows are proposed: 1) images were acquired with a relatively simple methodology to follow the crop development; 2) two images around harvest time were downloaded and processed using a more complex and accurate methodology to calculate four vegetation indices (NDVI, WDRVI, GRVI and GNDVI) to be correlated to yield with linear regression models.




Open Atlas, how it works

Find an algorithm

Contact the author

Create a partnership

Endless opportunities