The procedure for detail drought risk modelling has been developed using recent meteorological data on dry period and preliminary precipitations, as well as digital elevation model and geographic data layers on natural landscape features and land use. The basic condition for the completing the data processing procedure is given by common public access to reliable geodata. The recent version of the procedure starts with the meteorological data (temperature and precipitation) acquisition and analysis. Soil map and geological map were also applied for the assessment of the local natural features impact on the drought risk. Similarly, the extracts of the national CORINE LC 2006 CZ database for the study areas were reclassified into five risk classes. This way, a set of five values representing five risk present landscape features were available for each pixel in the database covering study area. The summarization of these five representative individual values gives general drought risk classes of areas representing each pixel of study territory.