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FLOOD MODELLING WITH SOFTWARE ArcGIS
 Šourková, Lucie ; Štych, Přemysl (advisor) ; Lodin, Michal (referee)
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Analyses of remote sensing techniques for detecting quartz and calcite in rock
 Šourková, Lucie ; Štefanová, Eva (advisor) ; Pavelka, Karel (referee)
Remote sensing technique in geology is relatively fast and low cost procedure for initial research method preceding a more detailed field campaign. Remote sensing offer an excellent method of mapping surface geology mainly in arid regions. The analysis of remote sensing methods for silicon and calcium detection is the aims this thesis. The method were tested on satellite sensors Aster and Landsat ETM+ in Sechura desert region in northwest of Peru. For solution to mineral detection was the Aster data the most suitable. The data was preprocessed. From the atmospheric correction method was chosen the Empirical Line Calibration. The best methods for good identification of silicate and calcite were: mineralogic combination 5/7-5/4- 3/1 ETM+ bands, color composite ratio bands Aster 13/10-13/14-12/13, Principal Component Analyses and classification Spectral Angle Mapper. On the strength of results was suggested metodical procedure including steps from preprocessing to classification. Powered by TCPDF (www.tcpdf.org)
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FLOOD MODELLING WITH SOFTWARE ArcGIS
 Šourková, Lucie ; Štych, Přemysl (advisor) ; Lodin, Michal (referee)
Detailed record

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