National Repository of Grey Literature 32 records found  beginprevious23 - 32  jump to record: Search took 0.01 seconds. 
Preparation of Dishes in Primary School Education
ČERVENÁ, Lucie
This master thesis deals with three topics in the theoretical part. The first part focuses on project method at primary school education; in the second part the goals and output competences of a pupil at primary education according to Framework training programme for primary schools can be found. Finally a chapter about creativity in the subject "practical activities" and introduction to history of food culture in last centuries concludes the theoretical part. In the practical part ten projects that focus on the food preparations and culture in the teaching are created. These are intended for the fourth and fifth classes of primary schools. A part of it are also preparations of the meals, experience from realisation of some projects, advantages and disadvantages, reactions of pupils or formulations of more general recommendations for the use of original educational projects.
Classification of forests damaged by disturbance using multispectral satellite data
Šmausová, Barbora ; Štych, Přemysl (advisor) ; Červená, Lucie (referee)
The main objective of this thesis is to create an appropriate methodological procedure for classifying damaged forest in the selected area of Šumava National Park. For this purpose, multispectral imagery WorldView-2 and Landsat 8 are used. Work emphasis on distribution of each phase of forest development affected by bark beetle. According to selected legend, involving multiple stages of damaged but also recovering forest, the images are classified by Neural Network, Support Vector Machine and object classification methods. Application of these methods on selected images required a suitable choice of parameters and rules to achieve optimal results. The results of this thesis compare and evaluate the final classification. Another outcome of this work is to evaluate the influence of the processed images WorldView-2 and Landsat 8 on the final classification performance. All work results are assessed by overall precision, error matrix and kappa coefficient. Powered by TCPDF (www.tcpdf.org)
Comparison of NATURA 2000 mapping with Earth Observation mapping (Case study of tundra in the Krkonoše Mts.)
Ondrušková, Kateřina ; Kupková, Lucie (advisor) ; Červená, Lucie (referee)
Comparison of NATURA 2000 mapping with Earth observation mapping (Case study of tundra in the Krkonoše Mts.) Abstract The bachelor thesis is focused on comparing Natura 2000 mapping with results of classification of Landsat 8 and WorldView-2 satellite images with different spatial resolution in the case study of tundra in the Krkonoše Mts. Satellite images were classified using Maximum Likelihood supervised classification and ISODATA unsupervised classification. The aim of the thesis was to find out what categories of Natura 2000 mapping are detectable using satellite images. For all classifications two levels of modified legend of the Natura 2000 mapping were used. The best results for both satellite images were achieved by unsupervised classification on level 1 of the legend - overall accuracy for Landsat 8 image was 64,1 % and for Word-View-2 image 67,16 %. Software ENVI 5.1 was used for all classifications. Keywords: Earth observation, supervised classification, unsupervised classification, legend, classification accuracy, NATURA mapping
Possibilities of object-based classification for selected biotopes above tree-line in the Krkonoše Mts. National Park detection
Jakešová, Lucie ; Červená, Lucie (advisor) ; Potůčková, Markéta (referee)
Possibilities of object-based classification for selected biotopes above tree-line in the Krkonoše Mts. National Park detection Abstract The bachelor thesis is focused on the object-based classification of vegetation above the tree-line in the Krkonoše Mts. National Park using orthophoto with near infrared band and spatial resolution of 12.5 cm. Orthophoto was acquired in summer 2012. The classification legend was compiled by botanist of the national park. Software ENVI 5.1 was used for object-based classification using the field data. It provides two approaches to classification - Example-based and Rule-based. The overall accuracy of the best classification result was 75.97 % for 13 classes. Keywords: object-based classification, KRNAP, biotopes above tree-line, aerial optical scanner
Land cover changes in military areas of Czechia
Outrata, David ; Štych, Přemysl (advisor) ; Červená, Lucie (referee)
1 Land cover changes in military areas of Czechia The aim of this bachelor thesis was to analyze and compare land cover changes in two areas affected by military activities, in military area Brdy and former military area Ralsko between 1986, 1998 and 2011. Maximum Likelihood supervised classification algorithm and Landsat 5 satellite images was used. Within the work was also examined the usability of Landsat images CDR, with atmospheric corrections applied. Reference data to gain control data were RGB and monochromatic aerial images. The classification system contained eight classes adapted to explored territory. Satellite photographs was classified on surveyed territories for the years 1986, 1998 and 2011, with overall classification accuracy ranged from 80.45% to 90.02%.With these data was further worked, and tables and graphs showing the area of individual land cover in the given time horizons was compiled. Outputs are also land cover maps, change maps and stable land cover maps. The expected trend that in the former military area after leaving the army land cover changed significantly, contrary to the current military area, where changes are minor, was confirmed. Key words: land cover changes, supervised classification, Landsat, Landsat CDR, military areas, Brdy, Ralsko, Geomatica, ArcGIS
Tick-borne encephalitis risk assessment based on classification of vegetation from remote sensing data
Červená, Lucie ; Potůčková, Markéta (advisor) ; Pavelka, Karel (referee)
Tick-borne encephalitis risk assessment based on classification of vegetation from remote sensing data Abstract The main aim of this thesis has been to find out how to classify various categories of forest vegetation with a different risk of exposure to the tick-borne encephalitis based on the Landsat imagery. The legend used here is derived from the one used in the projects by Daniel, Kolář, Zeman (1995) and Daniel, Kolář, Beneš (1999) but has been reduced to only five classses with no overlaps in their definitions (I. coniferous stands, II. mixed stands, III. young deciduous stands and stand ecotones with a highly heterogeneous structure, IV. deciduous stands with a homogeneous structure, V. deciduous stands with a heterogeneous structure). The supervised classification with the Maximum Likelihood Classifier has been used on the Landsat imagery from various seasons. Difficulties concerned with the presence of clouds and varying Sun elevation across the imagery had to be adressed in the course of the work. The training sites and the control points have been defined by the field research and interpretation of the relevant orthophotomaps and Landsat imagery in 5-4-3 RGB composite. The mask of the forest has been created on the ZABAGED data basis. The time horizon of 2006 - 2010 has been the primary focus....
Land cover changes in District Nachod using remote sensing data
Červená, Lucie ; Kupková, Lucie (referee) ; Štych, Přemysl (advisor)
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...
Small terrestrial mammals as an indicator of the restoration Sokolov area after coal mining
Červená, Lucie ; Kouba, Marek (advisor) ; Markéta, Markéta (referee)
Aim of this paper was to describe the diversity of small terrestrial mammals on selected habitats of Velka podkrusnohorska spoil heap and surrounded areas. Between years 2013 2015 there was realized seven catching on the twenty seven study sites. In every year we repeated a catches in spring and autumn period. The selected habitats were: wetlands, meadows, pine forests, oak forests and successional forests. As a capture method was chose standard line method with usage of snap traps. The obtained data were statically analysed by the R program and the diversity was compared based on the Shannon-Wiener index of diversity. We compared abundance and diversity between spoil heap study sites and surrounding study sites, which were situated out of the Velka podkrusnohorska spoil heap and was sign as control sites. We chose three study sites of every habitat situated on spoil heap and another three sites of every habitat situated out of the spoil heap (control sites). In total we caught 720 small terrestrial mammals of ted species: Crocidura leucodon, Crocidura suaveolens, Microtus arvalis, Microtus agrestis, Mus domesticus, Apodemus sylvaticus, Apodemus flavicollis, Myodes glareolus, Sorex araneus and Sorex minutus. The highest diversity was on the four wetlands sites which three of them were situated on the spoil heap. The highest abundance was at the meadow site Matyas which was situated on the spoil heap. In the overall assessment of the abundance and diversity of communities of small terrestrial mammals was confirmed equality of spoil heap sites and control sites. In the assessment of abundance and diversity of individual habitats was confirmed equality of spoil heal sites and control sites. Exception was abundance between forests spoil heap sites and control sites, where the equality of abundance was rejected because of higher abundance of control sites. We decide to compare technically restored sites and sites using managed successions on the spoil heap. The diversity of technically restored pine forests and successional forest was confirmed but the equality of abundance of these sites was rejected because of the higher abundance of successional forests. The equality of diversity and abundance of technically restored oak forests and successional forests was rejected because successional forests had higher both of these values.
Exemption from Personal Income Tax as a Factor in Formulating the Rate of Taxation in the EU Countries
Červená, Lucie ; Vančurová, Alena (advisor) ; Doležalová, Ivana (referee)
In my diploma thesis on Exemption from personal income tax as a factor in formulating the rate of taxation in the EU countries are defined terms of tax expenditures and tax exemptions. The main objective of this work is the analysis of income exempted from personal income tax in the Czech Republic and the EU member states, with a focus on revenue social nature. In an analysis of exempted income in the Czech Republic are quantified tax expenditures associated with the exemption of social income of taxpayers. It is a comparative analysis of the exempted social income in EU member states, and I analyze the impact of exemption of social income tax rate of selected types of households with different levels of income.
Rozdíly v postavení plátce DPH a osoby identifikované k dani
Červená, Lucie ; Svátková, Slavomíra (advisor) ; Svátková, Slavomíra (referee)
Tato práce je zaměřena na rozdíly v postavení plátce DPH a osoby identifikované k dani. Cílem je vyhodnotit rozdíly v právech a povinnostech plátce DPH a osoby identifikované k dani. Práce vymezuje jednotlivé subjekty, které vystupují v zákoně o DPH, a také podmínky, za jakých vzniká z osoby povinné k dani plátce DPH a z osoby, jež není povinná dani, osoba identifikovaná k dani. Rozdíly v právech a povinnostech plátce DPH a osoby identifikované k dani jsou vyhodnoceny podle zvolených kritérií, jimiž jsou rozlišení plátce daně a poplatníka, analýza ekonomické činnosti a činnosti, která ekonomickou není, určení daňové povinnosti u těchto osob, práva a povinnosti v oblasti správy daní a cesty vedoucí k optimalizaci daňové povinnosti těchto osob.

National Repository of Grey Literature : 32 records found   beginprevious23 - 32  jump to record:
See also: similar author names
1 ČERVENÁ, Ludmila
2 Červená, Lenka
13 Červená, Lucie
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