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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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Remote sensing for evalution of state and development of Spruce stands condition in the Giant Mountains
Musilová, Romana ; Kupková, Lucie (advisor) ; Štych, Přemysl (referee)
Bc. Romana Musilová: Využití dat DPZ pro hodnocení aktuálního stavu a vývoje smrkových porostů v Krkonoších Remote sensing for evaluation of state and development of Spruce stands condition in the Giant Mountains Abstract Monitoring the health status of forest areas using remote sensing methods are still under development. This master thesis focuses on the use of SPOT, Landsat, QuickBird and WorldView-2 images to evaluate condition of spruce stands in Giant Mountains National Park. For these purposes were selected vegetation indices available in the lite- rature. First satellite images were preprocessed and subsequently calculated vegetation indices. From the generally known were used Normalized Difference Vegetation Index, leaf area index and Simple Ratio. Than were calculated Green Vegetation Index and Red Green Index based on the monitoring of needles color changes. To evaluate moistu- re conditions were used indices Foliar Moisture Index and wide-band Normalized Diffe- rential Infrared Index. The goal was a comparison of the results of these indices and assessment of their applicability. Map outputs indices were compared with maps of de- foliation and mortality of coniferous stands by Ing. Milan Stoklasa. Keywords: remote sensing, Norway Spruce stands, Giant Mountains, vegetation indi- ces, SPOT,...
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Comparison of Dyna-Clue and land change modeler software for predictive modelling in the suburban area of Prague
Indrová, Magdalena ; Kupková, Lucie (advisor) ; Grill, Stanislav (referee)
Comparison of Dyna-CLUE and Land Change Modeler software for predictive modelling in the suburban area of Prague Abstract The objective of this work was to predict the development of the suburban area of Prague, using Dyna- CLUE and Land Change Modeler (LCM) software, and based on the results compare the capabilities of both these software tools. In this work I used time series of land cover data obtained by the department of applied geoinformatics and cartography, local plans of the municipalities, and information about soil protection provided by the Research Institute for Soil and Water Conservation. Based on these data, a predicted land cover map for 2020 was created in both software tools. The results were then compared and showed that the models respect the restriction of development in predetermined areas. In accordance with local plans, new residential development was properly allocated. For commercial development, the requirements were not completely fulfilled. It is evident that both models are able to create a correct map of future land cover based on specified requirements. However, the instability of LCM and the necessity of using other software while working with Dyna- CLUE somewhat complicated the work. Keywords: Dyna-CLUE, Land Change Modeler, predictive modelling, land cover, residential...
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Possibilities of remote sensing in grassland vegetation and management interventions monitoring in the Giant Mountains
Pomahačová, Michaela ; Kupková, Lucie (advisor) ; Hais, Martin (referee)
Possibilities of remote sensing in grassland vegetation and management interventions monitoring in the Giant Mountains Abstract The aim of this thesis was to evaluate suitability of WorldView-2 imagery for grassland associations classification in the model area of Giant Mountains. The classification was based both on the legend compiled by a botanist, and on the legend of Natura 2000. In order to eliminate the effects of other types of land cover on the classification accuracy, a mask of grasslands was created. Using discriminant analysis, the significance of spectral bands of WorldView-2, as well as signifikance of selected vegetation indices and components from Principal Component Analysis (PCA) - to distinguish particular classes of grassland vegetation were evaluated. Based on the results of discriminant analysis, classifications using neural networks method and also maximum likelihood method were performed in ENVI 4.7 version software. The results of the both method were compared Key words: remote sensing, meadows association, classification, Giant mountains, WorldView 2
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Land cover classification from hyperspectral images in recultivated areas of the Sokolov lignite basin
Málková, Hana ; Potůčková, Markéta (advisor) ; Kupková, Lucie (referee)
Land cover classification from hyperspectral images in recultivated area of the Sokolov lignite basin Abstract The aim of the dissertation is to establish a methodology for vegetation classification from hyperspectral data of the HyMap sensor. The final output is a supporting map for the investigation of mining impacts on vegetation health in the vicinity of surface quarries at the Sokolov lignite basin. Five different classification algorithms were applied on the data and the best result was put more precisely in the second classification round. Given the pixel size and desired result details, subpixel classification options were tested and the question of what level of classification details could be achieved with given data was answered. The results are part of the project "Assessment of Mining Related Impacts Based on Utilization of Airborne Hyperspectral Sensor ARES". Keywords: hyperspectral image data HyMap, land cover mapping, the classification alghoritm, subpixel analysis, Sokolov lignite basin
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Analysis of the Frequency of Connections in Czech Rail Transport
Ambrož, Jiří ; Hudeček, Tomáš (advisor) ; Kupková, Lucie (referee)
Analysis of the frequency of connections in Czech railway transport Abstract This paper deals with cartographic representation of frequency of connections in maps and with analysis in suitable level using software ArcGIS 9.3. Theoretical part is aimed at train categories and use of GIS mainly in analysis of traffic accessibility. Next there is a description of used methods which are isoline and cartodiagram. The main part of the paper discribes a creation of relevant data layers and methodology of data capture. Here is also evaluation of the results and suitability of used methods. The frequency of connections is devided into two types. Their differences are discussed in final section where is also warning about several complications that occurred during the work. The main output are two maps for the Czech Republic and one for Středočeský district. Keywords: frequency of connections, accessibility, cartographical methods, railway transport
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Evaluation of suburbanization in Prague's hinterland - influence on landuse, landscape stability and structure.
Kubečková, Jana ; Kupková, Lucie (advisor) ; Štych, Přemysl (referee)
Evaluation of suburbanization in Prague's hinterland - influence on landuse, landscape stability and structure Abstract The aim of this study is to evaluate the background of suburbanization in Prague, to evaluate the development of landscape, landscape structure and landuse. The first part of this work is devoted to analysis of domestic and foreign literature, which deals with suburbanization and evaluation of landscape structure. Another part is devoted to practical evaluation of the landscape using air photos and satelite pictures and orthophotos in three cadastral in 1994, 2004 and 2007. It concerns the cadastral Šeberov, Hole u Průhonic and Újezd. The evaluations are based on selected factors. It is found that the proportion of buildings and vegetations is increasing all the time and also found that for example scrub and forests were protected from new development. Furthermore, the most significant changes in land use were described and the landscape structure was evaluated according to selected factors. The outputs of this work were maps of land use in different years, maps of stable und unstable areas in different periods, maps of vegetation changes and tables summarizing the results of the evaluation parameters of the structure. Keywords: suburbanization, landscape structure, landuse, patch,...
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Evaluation of global changes of forest land based on remote sensing
Hladká, Anna ; Štych, Přemysl (advisor) ; Kupková, Lucie (referee)
Evaluation of global changes in forest area based on remote sensing data Abstract: The aim of this project is using remote sensing data to assess change in global forest area. This work should give the outline of the principles of land cover classification, with a focus on forests based on satellite images, but also show a real solution in the evaluation of changes in forest areas in two selected regions. The first part is performed a literature review of all aspects of this sub-topic from the basic principles of remote sensing across the typology and characteristics of satellite sensors, which are giving the satellite images to land cover classification systems and characteristics of forest area. The next section describes the basic procedure for classification of satellite imagery and its possible variants. In my work there are explain the image corrections, the supervised and unsupervised classification, the method of checking the accuracy of classification or use of software. Selected area for my work was Riau in Indonesia and state of Oregon, USA. To these regions there are demonstrated practical procedure for classifying land cover and then its changes from the forest areas. In conclusion of my work the results are discussed and compared with available land cover databases. Key Words: Remote Sensing,...
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Social metabolism in Czech and Czechoslovak territory in historical perspective
Kušková, Petra ; Jeleček, Leoš (advisor) ; Kupková, Lucie (referee) ; Spišiak, Peter (referee)
This dissertation is based on the conceptual framework of social metabolism and it applies methods of Material and Energy Flow Analysis and Ecological Footprint. It studies interactions between human activities and natural environment in Czech/Czechoslovak territory from the historical perspective (after the division of Czechoslovakia for Czechia and Slovakia together). The term of social metabolism is a metaphor inspired by biology. Society or human economy similarly to a living organism which extracts materials from the earth, processes biophysical materials to maintain itself and emits its wastes back. So the economic system functions in an analogy to a living organism and those processes are called "social" or "industrial" metabolism. This dissertation comprises seven individual empirical studies: (I) An introduction to a research topic covered in following articles. It is based on the work of leading world environmental historian and it interprets selected Czech realities within the context of the world environmental history. (II) The historical series of MEFA indicators together with ecological footprint. (III) An article which applies the ecological footprint method on the ecological farm in comparison to conventional agriculture in the context of more foreign studies on this topic. (IV) An...
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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...
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