National Repository of Grey Literature 12 records found  1 - 10next  jump to record: Search took 0.00 seconds. 
Černický, David ; Štych, Přemysl (advisor) ; Laštovička, Josef (referee)
This thesis deals with factors influencing the average speed on Czech roads. Curvature and inclination of the slopes were selected among the main factors influencing the average speed. Until now, these factors have been considered at discrete intervals, not as continuous functions. The function for calculating the curvature is based on ČSN 73 6101, where the equation with all variables is directly defined. The functional relationship for the movement of vehicles in sloping terrain was created from data from scientific articles. Therefore, an algorithm was implemented in this thesis, which can automatically evaluate the average speed on the road network. Python was used to implement this algorithm. Furthermore, there is a testing section for travel times, which is validated using route planners and also supported by extensive field research. Testing took place in GIS using network analysis methods. Testing has shown that the inclusion of curvature and inclination will significantly improve the calculation of travel times. key words: network analyst, curvature, gis, algorithm
Evaluation of forest vegetation based on time series of remote sensing data
Laštovička, Josef ; Štych, Přemysl (advisor) ; Brom, Jakub (referee) ; Bucha, Tomáš (referee)
Příloha k disertační práci: Abstrakt v AJ (Mgr. Josef Laštovička) Abstract This dissertation thesis deals with the study of forest ecosystems in the central Europe with the time series of multispectral optical satellite data. These forest ecosystems have been influenced by biotic and abiotic disturbances for the last decade. The time series of the satellite data with high spatial resolution allow the detection and analysis of forest disturbances. This thesis is mainly focused primally on free available Landsat and Sentinel-2 data, these two data types were compared. From methods, the difference time series analyses / algorithms were used. The whole thesis can be divided into two main parts. The first one analyses usability of classifiers for detection of forest ecosystems with per-pixel and sub-pixel methods. Specifically, the Neural Network, the Support Vector Machine and the Maximum Likelihood per-pixel classifiers were used and compared for different types of data (for data with high spatial resolution - Landsat or Sentinel-2; very high spatial resolution - WorldView-2) and for classification of protected forest areas. The Support Vector Machine were selected as the most suitable method for forest classifications (with most accurate outputs) from the list of selected per-pixel classifiers. Also, Spectral...
Use of contemporary 3D geoinformation technologies for historical reconstructions of sites: case study Zahrádka u Ledče nad Sázavou
Berka, Rostislav ; Laštovička, Josef (advisor) ; Štych, Přemysl (referee)
Use of contemporary 3D geoinformation technologies for historical reconstructions of sites: case study Zahrádka u Ledče nad Sázavou Abstract This bachelor thesis deals with contemporary 3D GIS technologies and methods used for historical reconstructions, especially reconstructions of lost sites and objects. Thesis contains an overview of technologies, methods and softwares suitable for these purposes. Thesis is focused on quite unique single image-based modeling, which uses geometry of object in the image. There is also brief overview of visualisation 3D models on the internet and web mapping. Thesis introduces a prescription for creating 3D model of lost site. First, TIN is produced from contours of old maps and DMR 5G data using breaklines, which are generated automatically. SFM models of preserved objects and models of destroyed objects acquired through single image-based modeling with help of old archival images, are placed on DTM. The case study area is the lost town of Zahrádka u Ledče nad Sázavou. The results of this work are view scenes and interactive web map aplication for visualisation of 3D model. The accuracy of used single image-based modeling method is compared to the standard SFM technique. SFM had better accuracy. Keywords: 3D model, 3D GIS, single image-based modeling using geometric...
Design and electromagnetic calculation of small power wound field synchronous machine
Laštovička, Josef ; Vítek, Ondřej (referee) ; Bárta, Jan (advisor)
The topic of this bachelor thesis is the issue of synchronous machines with a wound rotor and their design. The first part of the work summarizes the theory of synchronous machines with a wound rotor. A more detailed focus is given to salient pole machines. The second part summarizes specific steps in designing a machine with a wound rotor. The third part is to create a program for calculating a salient pole synchronous machine. The program is based on knowledge gained in the first and second parts using the Python programming language. The fourth part focuses on electromagnetic design, its optimalization, simulations and interpretation of their results. The last part contains technical production documentation and machine model.
Use of current and historical geospatial data for 3d modeling of hradec králové in different time periods
Šrollerů, Alex ; Laštovička, Josef (advisor) ; Štych, Přemysl (referee)
Use of current and historical geospatial data for 3D modeling of Hradec Králové in different time periods Abstract This bachelor's thesis is mainly focused on historical and current geospatial data and the basics of three-dimensional city modeling. It provides an overview on basic methods, data and software suitable for 3D city modeling in different time periods and possibilities of 3D visualization. The practical part describes the process of creating a 3D model in different time periods, namely the cadastral area of Hradec Králové in the years 1840, 1912, 1952 and present. The model consists of terrain interpolated from ZABAGED contour lines and buildings extruded from vector footprints. Subsequent manual modeling took place in SketchUp CAD software. Historical large-scale maps, contemporary orthophoto and OSM are used for this task. The model is visualized using flyby animations, view scenes, interactive browser and presented on a self-created web page and StoryMap JS. Keywords: 3D model, SketchUp, buildings, DTM, historical data.
Preprocessing of geographical data for 3D printing and vizualizations: Case study Ostrovský klášter
Dastychová, Vendula ; Laštovička, Josef (advisor) ; Brus, Jan (referee)
The thesis deals with contemporary methods of converting 3D geoinformation model into analog/printed form using various types of printers. The thesis documents an overview of current works and methods used. The benefit of the thesis is the overview of methods, software and available options for 3D printing. Based two types of printers the thesis demonstrates outputs quality. Also, the thesis introduces a general prescription for the process of processing the geoinformation data of a 3D model to print it. This process is applied in course of preparation cpecific model. In the empirical part, the thesis is applied on the concrete case study of the historical modeling of the Ostrov monastery. An integral part of the thesis is also a comparison of outputs of two selected printers - powder and string type. Keywords: 3D print, technologies, methods of 3D print, 3D model, GIS
Evaluation of the land cover in the military training area Libavá using Random Forest classifier
Žďánský, Vít ; Štych, Přemysl (advisor) ; Laštovička, Josef (referee)
Data land cover help us understand nature, how it develops, its uses and the influence that human actions have on it. Thanks to new methods in the remote sensing area, we can record these processes faster and at a larger scale than before. This thesis evaluates accuracy of the Random Forest (RF) and Maximum Likelihood (ML) classifiers using satellite data Sentinel-2 from the military training area Libavá. The military area went through a very specific development and the information regarding natural coverage in the region is missing. The classifier documentation contains 8 classes. The classification results from both algorithms are higher than 80 %. As expected, more accurate results were achieved using the Random Forest classifier. The most accurate classifications were of water surfaces and forests. The least accurate classifications were of agricultural land and sparse vegetation. Other classes varied in accuracy levels. This thesis' results are evaluated using error matrices, overall accuracy and the kappa coefficient. Keywords: classification, Random Forest, Maximum Likelihood, military training area, remote sensing, Sentinel 2, land cover, Libavá
Evaluation of area and changes of the agricultural land in Czechia 2006 - 2012
Hofrajtr, Martin ; Štych, Přemysl (advisor) ; Laštovička, Josef (referee)
Evaluation of area and changes of the agricultural land in Czechia 2006 - 2012 Abstract This thesis deals with the evaluation of area and changes of the agricultural land in selected regions in Czechia on the basis of the data from the years of 2006 and 2012, using the available international and national databases of land cover and land use. In the practical part, firstly the compatibility of classification systems of the surveyed databases is compared, then the state and changes of individual classes of agricultural land are analysed on two levels - national and regional - using functions of ArcGIS software. The overall result confirmed the assumption that the proportion of permanent grass cover in respect to agricultural land is increasing at the expense of that of arable land. Certain discrepancies between the results, however, point out different purposes of the surveyed databases and thus differences in their parameters and classification systems. Remote sensing, which enables to determine the real state of agricultural land and its classes, seems to be auspicious. Key words: change detection, agricultural land, CORINE Land Cover, Urban Atlas, land register - LPIS
Evalution of Time Series of Satellite Images to Observe Disturbancec in the Low Tatras
Laštovička, Josef ; Štych, Přemysl (advisor) ; Hais, Martin (referee)
The work is aimed at finding appropriate methods for observing changes in the status of forest vegetation and its evaluation in the years 1992-2015. The satellite images of the Low Tatras are analyzed by using Time Series technology. Specifically, the images Landsat 4, 5, 7 and 8, for which it is necessary to perform a calibration and an adjustment of input data values to realize the individual vegetation indices, due to the fact that the images are captured by different sensors with different radiometric resolution. From this perspective, the work deals with the possibilities of normalized relative radiometric corrections and search for a particular type of appropriate compensation for Landsat CDR images. Calibrated data sets are evaluated by Time Series of different vegetation indices. The resulting values are evaluated in relation with the occurrence of forest disturbances, eg. wind storms, biological and other pests. The final part is discussion of the results, evaluating the test methods of calibration and suitability of vegetation indices for observing the state of calamity. The App is created for generating the Time Series of Landsat images CDR and for preparing RRN datasets. Key words: Time Series, radiometric correction, atmospheric correction, Landsat CDR, vegetation indices,...

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11 Laštovička, Jan
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