The article focuses on the issue of agricultural soil sealing in the Dolní Věstonice and Modřice cadastres (South Moravian Region). Available data and map resources were used for this purpose (historical and up-to-date). Data was processed using manual digitalisation which helped to generate the needed map output. The decrease in area of agricultural land is analysed in individual periods starting in the year 1824 (source of data stable cadastre - the first half of the 19th century) until the present, and the sealing of different types of plots and soil kinds is assessed according to Evaluated Soil-Ecological Units (ESEU). In most cases, agricultural land sealing is associated with municipal expansion. To compare future development, potential (forthcoming) agricultural land sealing proposed within the valid landscape plans was also explored. Likewise, the overall price of sealed plots in both locations was calculated. The results show that there was a significant change in the use of both model territories between 1824 and the present. In Modřice, the area of the built-up area was changed from 16 ha (1824) to 409 ha (2016). The area of the site has expanded from 90% to agricultural land. The most significant change in this area is the development of builtup areas on agricultural land. In the model territory of Dolní Věstonice, the area of the built-up area increased from 16 ha (1824) to 48 ha (2016). The area of the site has expanded from 70% to agricultural land. Due to the construction of water reservoirs “Nové Mlýny”, the area of water bodies increased by 569 ha (during the period 1824- 2016). The water reservoirs occupy 65% of the cadastral area of Dolní Věstonice. The most significant change in landscape is the increase in water areas in Dolní Věstonice. Should this trend persist, an extensive reduction in agricultural soil and ensuing problems associated with sustainable agriculture, potentially also deficient food resources must be anticipated.
The paper is focused on the processing of 3D weather radar data to minimize the impact of a number of errors from different sources, both meteorological and non-meteorological. The data is also quantitatively characterized in terms of its quality. A set of dedicated algorithms based on analysis of the reflectivity field pattern is described. All the developed algorithms were tested on data from the Polish radar network POLRAD. Quality control plays a key role in avoiding the introduction of incorrect information into applications using radar data. One of the quality control methods is radar data assimilation in numerical weather prediction models to estimate initial conditions of the atmosphere. The study shows an experiment with quality controlled radar data assimilation in the COAMPS model using the ensemble Kalman filter technique. The analysis proved the potential of radar data for such applications; however, further investigations will be indispensable.