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Classification of meadow vegetation in the Krkonoše Mts. using aerial hyperspectral data and support vector machines classifier
Hromádková, Lucie ; Kupková, Lucie (advisor) ; Potůčková, Markéta (referee)
Meadow vegetation in the Krkonoše Mountains National Park is classified in this master thesis using aerial hyperspectral data from sensor AISA and Support Vector Machines (SVM) and Neural Networks (NN) classification algorithms. The main goals of the master thesis are to determine the best settings of SVM parameters and to propose an ideal design for a training dataset for this classification algorithm and mapping of the meadows in the Krkonoše mountains. The criterion of the tests will be the result of classification accuracy (confusion matrices and kappa coefficient). The additional goal of the master thesis is to compare performances of both utilized classifiers, especially regarding the amount of training pixels necessary for successful classification of the mountainous meadow vegetation. Classification maps of the area of interest and Python scripts are the main outputs of the master thesis. These outputs will be handed over to the Administration of the Krkonoše Mountains National Park for further utilization in the monitoring and protecting these valuable meadow vegetation communities. Key words: hyperspectral data, AISA, Support Vector Machines, Neural Networks, training dataset, mountainous meadow vegetation
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Classification of road network from airborne laser scanning data and from remote sensing images with high resolution
Kuchařová, Jana ; Potůčková, Markéta (advisor) ; Kupková, Lucie (referee)
Classification of road network from airborne laser scanning data and from remote sensing images with high resolution Abstract Object classification of land cover is currently one of the methods of remote Earth exploration. Road network classification only is unique because it is covered with anthropogenic material and has different characteristics than other elements of the landscape. This work deals with the possibility of using a combination of data from airborne laser scanning and high resolution optical data for detection of the road network in the specific area. The premise is that the use of two different types of data could provide better results, because airborne laser scanning data provide very precise information about the position and height of the point, while satellite data of very high resolution represent the real landscape. Searching for suitable features and classification rules for unambiguous determination of the road network is one of the objectives of the work. Segmentation parameters will also be important for object classification. Another objective is to verify the transferability of classification schemes into the other scene. The results should present a response on whether a procedure can be applied over a different location and also that the use of two types of data can bring...
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Automatic extraction of buildings and imprevious areas from very high resolution data in suburban area of Prague
Horňáková, Markéta ; Kupková, Lucie (advisor) ; Potůčková, Markéta (referee)
7 Automatic extraction of buildings and imprevious areas from very high resolution data in suburban area of Prague Abstract Nowdays, when the very high resolution satellite imagery and airbone laser scanning data have became more accessible, the possibility of their use for different types of applications increased also. With a rapid development of urban hinterlands the demand to monitor these areas increases also with the goal to avoid uncoordinated construction. This work therefore focuses on an object oriented based classification in order to design its own methodological approach for the extraction of buildings and imprevious areas in selected areas of commercial suburbanization in the Prague hinterland. The aim is among others to find the classification rules for distinguishing different types of roofs and impervious areas depending on the material, shape characteristic etc. The literature overview summarizes methods of buildings and imprevious areas classification and extraction using very high resolution optical data and elevation data. Very high resolution QuickBird imagery and airbone laser scanning LIDAR elevation data and object oriented classification methods were used for and analysis of selected commercial suburbanization model areas in Prague hinterland. The proposed methodology uses...
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The Landscape of the Czech-Austrian Borderland: Development and Heritage
Rašín, Robin ; Chromý, Pavel (advisor) ; Kupková, Lucie (referee) ; Kubeš, Jan (referee)
Charles University in Prague Faculty of Science Department of Social Geography and Regional Development Robin Rašín The Landscape of the Czech-Austrian Borderland: Development and Heritage Summary Roztoky u Křivoklátu 2010 1 Landscape is a key geographical concept and geographical research on land change and land use has a tradition that can be dated back for almost a hundred years. The development of the subject orientation of land change science can be divided into two phases. (i) During the first phase (50's/60's of the 20th century) the description of landscape and its morphology (structure) were at the centre of research interest along with the research of the potential for agro-production. This particular type of study was motivated by the need to find a solution to the problem of the increasing inability to supply a growing (European) population with agricultural products. (ii) In the second phase (circa from 70's of the 20th century), the attention of scientists towards the accelerated rate of land change on a global scale that can be associated with: the increase of human population, changes in agricultural techniques, mining, environmental exploitation et cetera. There is an obvious need to solve the negative impacts of the human activities on the landscape at different scales (from local to...
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Classification of Norway Spruce based on imaging and laboratory spectroscopy
Soudková, Kristýna ; Potůčková, Markéta (advisor) ; Kupková, Lucie (referee)
The master thesis deals with subpixel classification of hyperspectral data from senzor APEX. In the first part there is research from the literature describing algorithms of the subpixel classifications and spectral characteristics of the vegetation. In the practical part there is a work focusing on the classification of the areas with the cover of Norway Spruce trees at eight areas in the Krkonoše national park. Three methods of supervised classification were used - Linear Spectral Unmixing, Support Vector Machine and Spectral Angle Mapper. Field data, spectral curves for exact trees from the eight areas obtained by the contact probe ASD FieldSpec 4 Wide-Res, were used for the extraction of endmembers of the spruces. For each research area maps of land cover were produced by means of the classification methods described above and the accuracies of the classifications were evaluated. Powered by TCPDF (www.tcpdf.org)
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Evaluation of Land Cover Changes Using the Object Detections
Skokanová, Eliška ; Štych, Přemysl (advisor) ; Kupková, Lucie (referee)
The aim of the project is to perform object based change detection of land cover in specific areas of Czech republic. Landsat 2000 and Spot 2006 satellite images are used as input data. The method used for evaluation of changes is Multivariate Alteration Detection unsupervised method which is based on statistical procedures and is available from e-Cognition software. The results of detection are compared with Corine Land Cover changes database to evaluate degree of parity on detected areas. Different mapping unit is used to be able to detect smaller changes than Corine database. First part of the work is review of literature sources aimed on processing of satellite images, description of the spectral behavior of landscape objects, origins of Corine Land Cover database and principle of change detection using MAD. Second part deals with data adjustment, change detection process and comparison of reached results with Corine. Keywords: object based change detection, satellite images, Corine Land Cover, mapping unit of changes, Multivariate Alteration Detection, e-Cognition
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Classification of selected agricultural crops from time series of Sentinel-2 and PlanetScope imagery in Kutnohorsko model area
Kuthan, Tomáš ; Kupková, Lucie (advisor) ; Potůčková, Markéta (referee)
Classification of selected agricultural crops from time series of Sentinel-2 and PlanetScope imagery in Kutnohorsko model area Abstract The thesis is focused on the analysis of spectral characteristics of selected agricultural crops druring agriculutural season from time series of Sentinel -2 (A and B) and PlanetScope sensors in the model area situated around the settlements of Kolín and Kutná Hora. It is based on the assumption that the use of multiple dates of image data acquired crops in different phenological phases of the crops allows better identification of crop species (Lu et al., 2004). The aim of the thesis was to analyse the characteristics of the seasonal course of spectral features of selected agricultural crops (sugar beet, spring barley, winter barley, maize, spring wheat, winter wheat, winter rape) and to determine the period of the year suitable for the differentiation of individual crops. Another aim of the thesis was to classify these crops in the model area from time series of two above-mentioned sensors and to compare the accuracy of the pixel and object-oriented classification approach for multitemporal composites and the accuracy for monotemporal image from the term when the individual crops are clearly distinguishable. The training and validation datasets and the classification mask...
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Evaluation of landscape changes in the Krkonoše Mountains national park using remote sensing and landscape metrics
Karvánek, Matouš ; Kupková, Lucie (advisor) ; Štych, Přemysl (referee)
The aim of this bachelor thesis was to analyse of land cover and landscape state in the Krkonoše Mountains National Park between 1999 and 2007, using supervised classification and landscape metrics calculation. After the classification (Maximum likelihood algorithm) based on legend with 8 categories (5 types of vegetation, arable land, water areas, other areas), overlay analysis was performed by change detection and map sof land cover state and changes were created. The changes of the landscape and landscape components state were evaluated using landscpae metrics in software Fragstats. The overall accuracy for the image from 1999 was 81,50% and for the image from 2007 83,25%. Based on results i tis possible to conclude, that the area of forests increased and as fr the species composition the share of deciduous forests increased during this time period. Shift to a less diverse landscape was recorded based on landscape metrics evaluation. Coniferous forests comprised the landscape matrix in 1999 and also in 2007. Key words: supervised classification, land cover, landscape metrics, SPOT, FRAGSTATS, The Krkonoše Mountains National Park
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Mapping of terrain relics of the extinct village of Palohlavy (Ralsko) using early maps and airborne laserscanning data
Turek, Matěj ; Lysák, Jakub (advisor) ; Kupková, Lucie (referee)
Bachelor thesis deals with mapping of extinct villages using old maps, orthophotos and ALS. Specifically, it focuses on the village of Palohlavy in the former MTA Ralsko. At this location, the methodology of mapping extinct villages in this military area was tested. In the course of the work, the collection and evaluation of available data sources, field measurements, proposal and fulfillment of digidal spatial database and map creation, took place. The spatial database contains elements to determine their time existence.
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Evaluation of suburbanization process in the hinterland of Prague in the period 1990-2020 using remote sensing data
Brabec, Michal ; Kupková, Lucie (advisor) ; Štych, Přemysl (referee)
Significant changes have taken place in the hinterland of Prague in recent years. The villages, where 200 people used to live, are now large residential areas with an old core and a much larger population. The high increase in population and the new built-up area will also be reflected in the surrounding landscape, either by deforestation of the remaining forest areas or by the degradation of the highest quality soils. The aim of this work was to describe the course of suburbanization of selected municipalities and the associated change in landscape cover using data from remote sensing (RS), statistical data and field survey in the issue. At the same time, identify tools that to some extent, guide or regulate these suburbanization processes. The first part of the work is an introduction to the issue, followed by a chapter on standard regulatory measures in Czech Republic. Furthermore, the data and methods of remote sensing are described, which were used to develop a map output of the areas and last but not least, the agricultural land fund (ZPF) was analyzed focusing on the quality of soils in the monitored area. The main goal of the work was to find out and show the development of a selected background of Prague in the years 1990 to 2020. The results can be used as a basis for an even more...
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