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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...
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Landscape transformation in the Malešice-Hostivař industrial area and its surroundings in 1841-2022
Petýrek, Karel ; Čábelka, Miroslav (advisor) ; Štych, Přemysl (referee)
The aim of this bachelor thesis is to create a web application of the landscape transformation in and around the Malešice-Hostivař industrial area. Further objectives are to evaluate the evolution of land use in the study area and to visualize its structure in 1841, 1945, 1966, 1989 and 2022. The theoretical part presents the fundamental bases, methods and data sources which can be used to evaluate the evolution of landscape. An important part of the paper are physical-geographical and socio-economic characteristics and a description of historical development of the area, focusing on individual settlements and the industrial zone. The practical part focuses on land use analysis, maps creation and web application. Results of the land use analysis are summarised in chapter seven of the thesis. The web application presents the created land use maps along with additional photographs and texts. Key words: landscape transformation, land use, Malešice-Hostivař industrial area, ArcGIS Online
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Evaluation of the data and methods of Land use, Land-use change and Forestry (LULUCF)
Langer, František ; Štych, Přemysl (advisor) ; Švec, Pavel (referee)
The hereby-submitted bachelor's thesis addresses the topic of reporting of land use under the Intergovernmental Panel on Climate change (IPCC), so-called Land Use, Land-Use Change And Forestry (LULUCF). Under LULUCF, the state and development of surface areas in the following categories are inventoried and reported: Forest Land, Cropland, Grassland, Wetlands, Settlements and Other Land. In the Czech Republic, LULUCF is reported on the basis of cadastral data. The aim of this thesis was to evaluate the accuracy of cadastral data - attributes of land plots and the way of land plot - for the purposes of LULUCF reporting on the area of Petříkov cadastral territory. In-situ survey, orthophoto and the map of RM 10 layer were used for the research. As part of this work, a table was created, according to which the specific type and method of land use can be converted from cadastral data into LULUCF categories. Key words: land cover, land use, LULUCF, Petříkov, spatial data
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Land cover classfication using artificial neural networks
Oubrechtová, Veronika ; Štych, Přemysl (advisor) ; Kupková, Lucie (referee)
Land cover classification using artificial neural networks Abstract This Diploma thesis deals with automatic classification of the satellite high spatial resolution image in the field of land cover. The first half of the work contains the theoretical information about remote sensing and classification methods. The biggest attention is given to the artificial neural networks. In practical part of Diploma thesis are these methods used for the classification of SPOT satellite image. Keywords: remote sensing, image classification, artificial neural networks, SPOT
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Detection options of drenage and ameliorate channels using remote sensing data
Čermák, Jan ; Potůčková, Markéta (advisor) ; Štych, Přemysl (referee)
The purpose of this work is to explore detection options of subsurface drainage systems using remote sensing data. Drainage drains soggy soil and increases its fertility, but also allows transport of nutrients such as nitrogen and phosporus into waterways. Location of drainage systems is often unknown because of missing or inacurrate project documentation. Theoretical part is mostly devoted to the description of remote and ground methods of drainage detection. Then objectives of the work are solved. Drainage indications are described in specialized aerial photographs of visible and infrared part of the spectrum. These indications are compared with historical project plans. Methods aimed to improve indication of drainage including Laplacian filter and NDVI are applied and evaluated. Main output is binary raster expressing location of drains. Accuracy of results is evaluated in relation to vectorized indication of drainage from the source images.
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Land cover changes in District Nachod using remote sensing data
Červená, Lucie ; Štych, Přemysl (advisor) ; Kupková, Lucie (referee)
Land cover changes in District Nachod using remote sensing data Abstract The purpose of this project was to create a classification of the land cover of Náchod district for years 1979, 1991 and 2001 based on multi-spectral images gained from publicly available archive images database provided by Landsat satellites. Data used in this paper are described in details. The created classification system is based on CORINE Land Cover and adjusted to a measured area and data available. The method used for images classification was method of supervised classification in PCI Geomatics program and classification algorithm of Maximum Likelihood Classification. The result was smoothed by majority filter and converted to the vector form. Accuracy of the classification was evaluated in details, based on the check points. Overall accuracy was quite low (2001 - 82 %, 1991 - 74 %, 1979 - 67 %), depending on the quality (mainly spectral and spatial resolution) of the images and also availability of other reference data. Land cover changes for the whole time period were therefore evaluated using just the balance method (i.e. overall classes distributions in district were compared between separate years). For years 1991 and 2001 it was also tried to overlap their final vector land cover layouts, however target Change areas in...
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Analysis and optimalization of the accessibility of emergency services in the CR using GIS tools
Paraj, Zsolt ; Štych, Přemysl (advisor) ; Hofman, Petr (referee)
The bachelor's thesis deals with modeling the current situation of Emergency medical services in the Czech Republic in terms of surface area coverage and accessibility of the ground rescue units. Also the subject of the project is to suggest improvements in distribution of outpost of Emergency medical services after the changes in act of emergency medical services, which newly declares the arriving time to 20 minutes. The project was developed in ArcGIS 10. The basic hypothesis of a lower number of ambulance outposts after optimization was confirmed, but the assumption, that emergency medical services have reserves for worse traffic situations, was partly refuted. Key words network analysis, Emergency medical services, Network Analyst, accessibility, optimization
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