Fehér, Zsolt ZoltánZhao, Chengwei2021-05-052021-05-052021-04-22http://hdl.handle.net/2437/308549The current study is a preliminary research of an intelligent irrigation support system of a maize field in Nyírbátor, NE Hungary. The first part of the study attempts to find a common denominator between multispectral Landsat 8 and Sentinel 2 images, in order to significantly increase the temporal resolution of the acquisition interval. This analysis considers the effect of the nearest neighbor method, the bilinear interpolation and the best linear unbiased estimation approaches. The second part of the research highlights the deficiency of applicability of the Penman-Monteith system. Although the soil conditions are unknown since there were no in situ sensors installed, the study attempts to mimic as well as to filter out the effect of extreme rainfall events on the irrigation demand, by analyzing three different theoretical scenarios. Finally, the thesis attempts to answer the failure of the in situ biophysical measurements.48ensatellite imagerycross-sensorGIScrop evapotranspirationvagetation indexDEENK Témalista::Mezőgazdaságtudomány