The aim of the bachelor thesis is to verify the possibilities of modeling the onset of phenology events utilizing remote sensed data. The onset of phenological phases is derived from a modeled course of NDVI values obtained from MODIS spectrophotometer. Modeling refers to forest stands of Slovakia with a dominant proportion of European beech (Fagus sylvatica L.) for the period 2000-2017. For modeling NDVI values time series is using software PhenoProfile. Within the derivation of phenological events, parameterization is used by means of a function individually for individual pixels (6D model) and parameterization using six derived parameters, two of which are derived flat-rate for the whole territory of Slovakia (4D model). In validating the onset of phenological events, work equate the derived day of the year (DOY) and spotted onset at phenological stations SHMÚ. Detection of work is that, both models systematically overstimate the order of onset of phenological events, respectively the lenght of growing season and full foliage. The thesis deal comparison of the results of modeling with 4D and 6D parameterization. The thesis discuss about verification of the hypotesis that modeling of the phenological function with six parameters is better and rather than modeling with 4 parameters. The statistics test do not confirm significant difference between these models. The work didn´t confirm more accurate modeling and a smaller RMS for 6D parameterization.