The aim of the diploma thesis is to verify the possibilities of modelling a phenological curve using the the remoted sensed data. Hence, the database has been formed from the data obtained by spectroradiometer MODIS for the period 2000-2020. The vegetation indices NDVI and EVI2 have been calculated from the database and subsequently their intra-seasonal dynamics has been analysed. The analysed course of the average values of the vegetation indices is concerned with the forest stands with dominant representation of the European beech (Fagus silavtica L.) and the forest stands with a dominant proportion of the common oak (Quercus robur L.) and the sessile oak (Quercus petraea Liebl.) The software PhenoProfile is used for modelling of the phenological curve. Consequently, two parameters of the phenology curve function have been derived from the database in the form of a constant and four coefficients have been parameterized individually for every picture element of the image. Furthermore, the thesis compares the results of available configuration settings of used software, accordingly, their modification for separate modelling of the spring and autumn phenophases has been created. The comparison of the results revealed that the modifications of configuration files did not contribute to the increase in accuracy of the models in contrast to the available configuration settings. In addition, the diploma thesis is focused on verifying the hypothesis where the average values of vegetation indices derived from the sensor placed on the Terra satellite carrier are identical with average values derived from the data of the sensor placed on Aqua satellite. The test confirmed statistically significant difference between the average values of both vegetation indices in the beech stands, whereas in the oak stands a significant difference between the average values was not confirmed.