SPATIO-TEMPORAL VARIABILITY OF VEGETATION CONDITION IN IRRIGATED AGRICULTURE THROUGH SENTINEL-2A IMAGES

Given the importance of irrigation in a scenario which is highlighted by the increasing demand for food, it is increasingly necessary to adopt techniques that allow proper monitoring of irrigated areas in order to observe the dynamics of crop conditions. This is possible, in a fast way and with low cost, using remote sensing techniques. In this context, this study aimed to evaluate, with the help of remote sensing, spatial and temporal variability of vegetation conditions for an area irrigated by center pivot to support the management of irrigated agriculture. It was used a series of Sentinel 2A images, from March to July 2016. The images were subjected to pre-processing to be subsequently performed the analysis of vegetation through of the indexes NDVI (Normalized Difference Vegetation Index) and VCI (Vegetation Condition Index). The use of remote sensing in this study allowed the monitoring of the variability of vegetation condition, and the vegetation indexes were sensitive to variations of force, and, therefore, constituting an important source of information in decision-making for irrigation management.