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The management of forest resources is complicated due to the complete lack of maintenance and disorganization of the land administration and survey that are decades old. Modern, unconventional monitoring systems are used with the aim of improving the existing records systems and creating a clearer insight into the state of forest re-sources. This study provides an example of the use of one such system, Sentinel-2. Using the R programming lan-guage, the multispectral Sentinel-2 images were classified by the Random Forest classification algorithm. Follow-ing the completion of the classifications, the accuracy of the classification was evaluated using the error matrix and the Kappa value. An analysis of forest resources for one cadastral municipality was accomplished using classified rasters and data from the Real Estate Cadastre Database. Based on the data analysis, major changes are vis-ible in terms of the abandonment of agricultural land and its conversion into a certain form of forest vegetation. Furthermore, based on these data, the study demonstrates changes that can be monitored in shorter time inter-vals. Sentinel-2 images can be used to determine forest expansion, based on the aforementioned analyses, result-ing in a clearer and better representation of existing forest resources that are unknown due to outdated and un-reliable land administration systems. © 2023, Hrvatsko Sumarsko Drustvo. All rights reserved.