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Use of hyperspectral data for detection and classification of selected anthropogenic materials
Novotná, Kateřina ; Kupková, Lucie (advisor) ; Batistová, Jana (referee)
The thesis deals with use of hyperspectral data from APEX and AISA sensors for detection and classification of anthropogenic materials in the areas of Čáslav, Rokytnice nad Jizerou and Harrachov. The main goal is to propose methodology for the detection and classification of roof materials and road surface materials based on established spectral libraries. Another goal is to evaluate applicability of spectral libraries for classification, to compare possibilities of hyperspectral data with larger and smaller spectral range and to create maps of anthropogenic materials above. The methodological approach including masks of anthropogenic materials for roads surface materials and roof materials creation, settings of four classifications algorithms (Linear Spectral Unmixing, Multiple endmember spectral mixture analysis, Spectral Angle Mapper, Spectral Information Divergence) parameters and assessment of classification results, is in the methodology part. The results are visualized and evaluated using overall accuracy and percentage of classified pixels. Finally the results are compared with existing studies and possible improvements for further research are proposed. Powered by TCPDF (www.tcpdf.org)
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Use of hyperspectral data for detection and classification of selected anthropogenic materials
Novotná, Kateřina ; Kupková, Lucie (advisor) ; Batistová, Jana (referee)
The thesis deals with use of hyperspectral data from APEX and AISA sensors for detection and classification of anthropogenic materials in the areas of Čáslav, Rokytnice nad Jizerou and Harrachov. The main goal is to propose methodology for the detection and classification of roof materials and road surface materials based on established spectral libraries. Another goal is to evaluate applicability of spectral libraries for classification, to compare possibilities of hyperspectral data with larger and smaller spectral range and to create maps of anthropogenic materials above. The methodological approach including masks of anthropogenic materials for roads surface materials and roof materials creation, settings of four classifications algorithms (Linear Spectral Unmixing, Multiple endmember spectral mixture analysis, Spectral Angle Mapper, Spectral Information Divergence) parameters and assessment of classification results, is in the methodology part. The results are visualized and evaluated using overall accuracy and percentage of classified pixels. Finally the results are compared with existing studies and possible improvements for further research are proposed. Powered by TCPDF (www.tcpdf.org)
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Short and long term re-distribution of potentially toxic elements fractions in solid environmental samples
Jeřábková, Julie ; Drábek, Ondřej (advisor)
The fractionation of potentially toxic elements (PTE) in environmental and anthropogenic solid samples has a crucial influence on their leaching, mobility and bioavailability, or conversely, their immobilization. Redistribution of PTE in different fractions is affected by various soil properties, such as soil reaction, redox conditions, and soil organic matter composition and its content. Fractionation of PTE in soils and other environmental materials is therefore dynamic, as it is controlled by external conditions. Certain changes of soil conditions caused by, for example, climatic events (floods, soil washing, etc.) and human activities (eg. liming) may lead to significant changes in the distribution of fractions of PTE in soils and anthropogenic materials.
The aim of this study is to assess the impact of changes of conditions on the short- and long-term diferences in fractionation of selected PTE (As, Cd, Cr, Cu, Pb, Zn) in soils and other solid samples mainly of anthropogenic origin (e.g., smelter slag) in the environment.
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