RUDA, Aleš, Jaromír KOLEJKA and Kateřina BATELKOVÁ. Geocomputation and Spatial Modelling for Geographical Drought Risk Assessment: A Case Study of the Hustopeče Area, Czech Republic. Pure and Applied Geophysics. Basel: Springer International Publishing, 2017, vol. 174, No 2, p. 661-678. ISSN 0033-4553. Available from: https://dx.doi.org/10.1007/s00024-016-1296-x. |
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@article{1364257, author = {Ruda, Aleš and Kolejka, Jaromír and Batelková, Kateřina}, article_location = {Basel}, article_number = {2}, doi = {http://dx.doi.org/10.1007/s00024-016-1296-x}, keywords = {geographical drought; aridity; spatial decision making; GIS; risk levels}, language = {eng}, issn = {0033-4553}, journal = {Pure and Applied Geophysics}, title = {Geocomputation and Spatial Modelling for Geographical Drought Risk Assessment: A Case Study of the Hustopeče Area, Czech Republic}, volume = {174}, year = {2017} }
TY - JOUR ID - 1364257 AU - Ruda, Aleš - Kolejka, Jaromír - Batelková, Kateřina PY - 2017 TI - Geocomputation and Spatial Modelling for Geographical Drought Risk Assessment: A Case Study of the Hustopeče Area, Czech Republic JF - Pure and Applied Geophysics VL - 174 IS - 2 SP - 661-678 EP - 661-678 PB - Springer International Publishing SN - 00334553 KW - geographical drought KW - aridity KW - spatial decision making KW - GIS KW - risk levels N2 - 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. ER -
RUDA, Aleš, Jaromír KOLEJKA and Kateřina BATELKOVÁ. Geocomputation and Spatial Modelling for Geographical Drought Risk Assessment: A Case Study of the Hustopeče Area, Czech Republic. \textit{Pure and Applied Geophysics}. Basel: Springer International Publishing, 2017, vol.~174, No~2, p.~661-678. ISSN~0033-4553. Available from: https://dx.doi.org/10.1007/s00024-016-1296-x.
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