The author puts forward a set of assumptions and possible context for examining the connection between the concepts of enlightenment and taste. Kant’s definition of enlightenment is accepted, with special emphasis on the sphere of religion. Applying this criterion, we may discern a powerful and influential religious current stemming from strictly speaking Church circles that denies the systematic and historical significance of the opus of Dositej Obradovic, who in his time was a protagonist of the European enlightenment. Such a revaluation has been accepted by the greater portion of the younger generation, which relies predominantly on the St. Sava Myth. With a change of worldview, undoubtedly, tastes change as well. The next section of the paper discusses the approach to taste of the Scottish philosopher David Hume representative of dispositional aesthetic. Finally it is argued that music as one of the arts, might be exemplary for appraising the condition of enlightenment in a society.

This paper is focused on the space and temporal variability of soil moisture experimental data acquired at a few locations near landmine fields in the Tuzla Canton, as well as on the quantification of the statistical nature of soil moisture data on a small spatial scale. Measurements of soil water content at the surface were performed by an electro-magnetic sensor over 1 25, and 100 m2 grids, at intervals of 0.2, 0.5, and 1 m, respectively. The sampling of soil moisture at different spatial resolutions and over different grid sizes has been investigated in order to achieve the quantification of the statistical nature of soil moisture distribution. The statistical characterization of spatial variability was performed through variogram and correlogram analysis of measurement results. The temporal variability of the said samples was examined over a two-season period. For both sampling periods, the spatial correlation length is about 1 to 2 m, respectively, or less. Thus, sampling should be done on a larger spatial scale, in order to capture the variability of the investigated areas. Since the characteristics of many landmine sensors depend on soil moisture, the results of this study could form a useful data base for multisensor landmine detection systems with a promising performance.