Regular monitoring water balance status and crop development are essentials to mitigate risk of crop losses at the farm level. In order to precisely define the soil moisture status, irrigation management requires real-time data about the crop fields, the catchment area, and the status of the crop. In recent years, remote sensing (RS) has emerged as a popular tool in the field of agronomy. The present study aims to identify the correlation between UAV and sentinel-2 NDVI and NDRE values, as well as correlation between LiDAR and manual height measurement of maize in Nyírbátor case study site. The findings of the study revealed that both UAV and sentinel-2 NDVI and NDRE data has strong linear correlation (r = 0.83; r = 0.74 respectively, p < 0.05), while for LiDAR and manual height measurement showed a moderate correlation (r = 0.65, p < 0.05).