Remote sensing technology offers the ability to monitor biophysical attributes and changes in plant biomass and productivity during the growing season, which may allow for sustainable management. Recent advances in satellite remote sensing technology produced innovative sensors to monitor the Earth’s surface with an increasing spatial and temporal resolution of available satellite images such as those provided by Sentinel-2, creating new opportunities for environmental monitoring and generating accurate datasets. This study aimed to evaluate the vegetation state during the spring, summer, and autumn seasons in a protected area around Iasi city, called "Dealul lui Dumnezeu" using biophysical indices derived from Sentinel-2 satellite images. The study area was chosen through the lens of the alarming information received by the Iasi County Council, on the change in the state of vegetation within the site of community importance, as well as the development of anthropogenic activities with a major impact on the analyzed perimeter. The analysis was based on the following indices: normalized difference vegetation index (NDVI), leaf area index (LAI), canopy chlorophyll content (CCC), canopy water content (CWC), the fraction of absorbed photosynthetically active radiation (FAPAR), and fraction canopy cover (FCOVER) derived spectrally, from Sentinel-2 high-resolution images. Sentinel-2 satellite images acquired in March, April, June, July, September and October (three seasons, 2020 to 2022) were utilized in the process and analysis. The Sentinel 2 satellite images were preprocessed using the open-source SNAP program, in which from TOA images were obtained BOA images, after which the ArcGIS program was used to create the final maps, but also to extract information at the pixel level. The results indicate that the highest values for NDVI, LAI, FAPAR, FCOVER, CAB, and CW occurred during different periods of the year, as follows: for the spring season, the highest value was on 10 April 2020; for the summer season, the highest value was on 09 July 2021; and for the autumn season, the highest values were on 07 September 2021. The analysis also included land-use type, with non-irrigated arable land having the highest values for the various indices. The results highlight the potential of Sentinel-2 images for these types of analyses, in which it can be used to observe the vegetative state. Acknowledgement: This work was co-funded by the European Social Fund, through Operational Programme Human Capital 2014-2020, project number POCU/993/6/13/153322, project title<< Educational and training support for PhD students and young researchers in preparation for insertion into the labour market.