In the master thesis, we developed an automatic procedure for systematic monitoring of vegetation based on satellite imagery using the FME Desktop and FME Server applications. In the FME Workbench desktop application, we created a workflow that for any specified area acquires the latest satellite image meeting certain quality criteria. Based on the satellite image, the NDVI vegetation index is calculated and clipped to the size of the input area. The model was published to the FME Server, where we set the schedule for the model to be running automatically. In case that new image is available since last run, the new results are saved in the selected folder on the server. Using the Backup and Sync application, the folder is linked to the Google Drive web storage, which allows the user to access the results from a remote device. User can save a lot of time by using automated processes like this, since it is not necessary to change the settings and run the program manually.