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Thematic atlas of lookout rocks in the area of Jetřichovice in Bohemian Switzerland National Park
Linková, Klára ; Lysák, Jakub (advisor) ; Valchářová, Daniela (referee)
The bachelor's thesis deals with the creation of a thematic atlas, the content of which are maps depicting the most famous rock viewpoints in the area of the Jetřichovice rocks in the territory of the České Švýcarsko national park. Emphasis is placed on modern methods of topographical rock mapping and large-scale digital cartography to represent sandstone rock formations and man-made objects on them. Part of the thesis is the presentation of basic information about the locality from the point of view of geology, geomorphology and history, description of individual methods suitable for data collection in sandstone rock relief and methods of depicting rocks on large-scale maps. Furthermore, a search of available maps and plans of specific rocks is carried out and the used method of rock representation is described. On the basis of the field research, thanks to drone photography, targeting using GNSS and final data revision using the Collector for ArcGIS application, data on locations of interest are obtained, which are further processed into a geodatabase. Subsequently, a custom character key design is created for individual objects. The practical output is the thematic atlas itself including the created maps together with accompanying texts and images. The maps are processed in the ArcGIS Pro...
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Landcover classification of selected parts of Ethiopia based on machine learning method
Valchářová, Daniela ; Štych, Přemysl (advisor) ; Nedbal, Václav (referee)
Diploma thesis deals with the land cover classification in Sidama region of Ethiopia and 2 kebeles, Chancho and Dangora Morocho. High resolution Sentinel-2 and very high resolution PlanetScope satellite images are used. The development of the classification algorithm is done in the Google Earth Engine cloud based environment. Ten combinations of the 4 most important parameters of the Random Forest classification method are tested. The defined legend contains 8 land cover classes, namely built-up, crops, grassland/pasture, forest, scrubland, bareland, wetland and water body. The training dataset is collected in the field during the fall 2020. The classification results of the two data types at two scales are compared. The highest overall accuracy for land cover classification of Sidama region came out to be 84.1% and kappa index of 0.797, with Random Forest method parameters of 100 trees, 4 spectral bands entering each tree, value of 1 for leaf population and 40% of training data used for each tree. For the land cover classification of Chancho and Dangora Morocho kebele with the same method settings, the overall accuracy came out to be 66.00 and 73.73% and kappa index of 0.545 and 0.601. For the classification of Chancho kebele, a different combination of parameters (80, 3, 1, 0.4) worked out better...
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Thematic atlas of the Seventh-day Adventist Church
Valchářová, Daniela ; Lysák, Jakub (advisor) ; Novotná, Kateřina (referee)
The main aim of the thesis is to create a thematic atlas of the Seventh-day Adventist Church to describe essential information about the Church through maps which are accompanied by texts, pictures and graphs. Partial goals are to obtain suitable spatial data related to the Seventh-day Adventist Church and to use thematic cartography methods which finally formed related maps. The theoretical part of the thesis is focused on the presentation of the Seventh-day Adventist Church and the summary of literature dealing with thematic cartography. These findings are put into practice in the practical part and the output of the thesis is the thematic Atlas of the Seventh-day Adventist Church created in ArcMap and InDesign softwares. Keywords: thematic atlas, cartography, religion, Seventh-day Adventist Church, ArcGIS
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