The European Space Agency's (ESA) Copernicus program has provided free access to satellite remote sensing data, making it an attractive option for public institutions. Government institutions are currently evaluating and identifying use cases for satellite imagery. Agricultural administration stands to benefit particularly, with the potential uses being substantial, especially in this area. This is primarily driven by two factors: (1) legal requirements within the framework of the Common Agricultural Policy (CAP), and (2) the substantial proportion of agricultural land within the total land cover in a mid-European study area. In the domain of agriculture and environmental discourse, there are a variety of applications for agricultural remote sensing in the context of providing a database for decision makers within the agricultural administration.

The administration's activities are connected with the careful handling of the created geodata products, depending on the data requirements and the uncertainties inherent in the products as a result of the creation process. Government institutions have high accuracy requirements for the products they use to make decisions. In this regard, this thesis examines the factors that influence the informative value of agricultural remote sensing products and proposes possible solutions in understanding and communicating data uncertainties. This applied approach aims to increase the social benefits of remote sensing. The objective of this study was to assess the potential and limitations of applications by remote sensing data from the point of view of the agricultural administration. To this end, a total of 53 uncertainty factors in agricultural remote sensing were compiled. A selection of practices for communicating and visualizing uncertainty was created to address these factors.