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Hyperspectral data for classification of alpine treeless vegetation in the Krkonoše Mts.
Andrštová, Martina ; Kupková, Lucie (advisor) ; Potůčková, Markéta (referee)
Hyperspectral data for classification of vegetation of alpine treeless in the Krkonoše Mts. ABSTRACT The Master Thesis is a part of the HyMountEcos project, which deals with a complex evaluation of mountain's ecosystems in the Giant Mountains National Park using the hyperspectral data. The area of interest is alpine treeless in the Giant Mountains National Park. The main goal of this thesis was to create detailed methodology for classification of vegetation cover using hyperspectral data from AISA DUAL and APEX sensors, to find a classification method, which would improve the accuracy of the results compared to those found in the literature, and to compare the accuracy reached with these two types of the data. Many different classification algorithms (Spectral Angle Mapper, Linear Spectral Unmixing, Support Vector Machine, MESMA a Neural Net) were applied and the classification results were statistically evaluated and compared in the next part of the work. The classification method Neural Net was found as the most accurate one, as it gives the most accurate results for APEX data (the overall accuracy 96 %, Kappa coefficient 0,95) as well as for AISA DUAL data (the overall accuracy 90 %, Kappa coefficient 0,88). The resulting accuracy of the classification (the overall one and also for some classes) reached...
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Laboratory and image spectroscopy for mapping of selected rocks in peak areas of the Krkonoše Mountains
Kubečková, Jana ; Kupková, Lucie (advisor) ; Potůčková, Markéta (referee)
Laboratory and image spectroscopy for mapping of selected rocks in peak areas of the Krkonoše Mountains Abstract This thesis deals with geological mapping of selected rocks in peak areas of the Krkonoše Mountains. Four areas of interest were situated in two parts of Krkonše Mountains - on the west side it is the area of Vysoké kolo and Harrachovy kameny and on the east side there is the area of Sněžka and the area of Kozí hřbety. The main data were acquired by the hyperspectral sensor APEX. Ground spectral measurments of selected rocks and block fields were executed and the laboratory spectral measurments of geological samples and lichens were executed. Practical part aims at classification of rocks and lichens in selected areas using four classification methods: SAM, SID, MESMA and LSU. The spectral library is one of the outputs of this thesis. This spectral library contains the spectra of pure rocks and lichens and mixtured spectra of rocks and lichens. The output of this thesis is the comparation of used classification methods, the analysis of spatial and geological accuracy and evaluation of lichens influence on the classification results, spectral library and maps of classified rocks occurrence. Keywords: classification, block fields, hyperspectral data, spectral mixture, lichens, The Krkonoše Mountains
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Derivation of digital terrain models from laser scanning data and its use for updating of heights of ZABAGED
Dušánek, Petr ; Potůčková, Markéta (advisor) ; Brázdil, Karel (referee)
The topic of diploma theses is creation of Digital Terrain Models from air- borne laser scanning data. This technique of gathering data about ground surface is one of the newest and development of applications is widely spread at academical field but also in last few years it has become real interest of leaders at market with Photogrammetric and GIS software. The main part of work is concentrated at creation of own algorithm for filte- ring of point cloud. There are mentioned the results and critically shown problems and imperfections. For this theses were used data landed by Department of Photogrammetry of Land Survey Office in Pardubice. For this reason there are mentioned suggestions for gathering better point cloud, which probably would be also used for modeling of 3D objects at ground surface. Keywords Airborn Laser Scanning, Filtration, DTM Supervisor Ing. Markéta Potůčková, Ph.D. iv
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RETRIEVAL OF CHLOROPHYLL CONTENT FROM HYPERSPECTRAL IMAGE DATA
Mišurec, Jan ; Potůčková, Markéta (advisor) ; Halounová, Lena (referee)
5 ABSTRACT The main scope of submited master thesis is the use of quantitative methods of imaging spectroscopy data for retrieval of chlorophyll content of forrest canopies. It demonstrates the potentials of radiative transfer models in combination with exponential regression model for retrieval of chlorophyll content from imaging spectroscopy data. Estimation of Norway spruce chlorophyll content is based on two datasets acquired in August and September 2009 by airborne very high spatial resolution sensors AISA Eagle and AISA Dual over Cerna Hora and Smrcina sites. Obtained chlorophyll content data were finally used for creation of high scaled (1: 5000) map outcomes. Keywords: Norway spruce (Picea Abies), Eight-toothed spruce beetle (Ips typographus), DART, PROSPECT, artificial neural networks, chlorophyll, ANMB650-725 index
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Analysis of satellite data applicability for rock glacier creep monitoring
Palúchová, Miroslava ; Brůha, Lukáš (advisor) ; Potůčková, Markéta (referee)
Analysis of satellite data applicability for rock glacier creep monitoring Abstract Rock glaciers are characteristic forms of periglacial high mountain environments. The creeping of active rock glaciers and changes in its velocity are important indicators of climate change. If unstable, rock glaciers can impose hazards to anthropogenic objects and/or populated areas. The presented thesis deals with the question of rock glacier creep monitoring with the use of satellite data. Two main methods for detecting and measuring the movement of landforms on optical and radar imagery are introduced. These methods are image matching and differential SAR interferometry. The goal of the thesis is to evaluate the applicability of the given methods for the research of the movement of rock glaciers. The thesis provides an overview of existing satellite data as well as an analysis of their suitability for research depending on rock glacier velocity. Keywords: remote sensing, movement monitoring, rock glaciers, image matching, DInSAR
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Utilization of airborne laser scanning data for the detection of agrarian forms of relief in the Giant Mountains
Jebavá, Lucie ; Kupková, Lucie (advisor) ; Potůčková, Markéta (referee)
Utilization of airborne laser scanning data for the detection of agrarian forms of relief in the Giant Mountains Abstract This thesis deals with the possible use of airborne laser scanning data for the detection of agrarian forms of relief in the Giant Mountains. The main research method is the analy- sis of the digital terrain model and digital surface model in the area of the Giant Mountains in the software ArcGIS 10.0. The analysis is based on specific functions in ArcGIS software (Slope, Curvature) as well as on combinations of rasters of shaded reliefs which led to the detection of further agrarian forms. To verify the precision of agrarian forms detection field verification was used. Based on verification and accuracy assessment the results can be designated as a very satisfactory. The Administration of the Giant Moun- tains National Park can use the research results to quantify the agrarian forms of relief, to improve their protection and, possibly also for further research and management. Keywords: airborne laser scanning, agrarian forms of relief, anthropogenic geo- morphology
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Application of airborne laser scanning in forests
Sedláčková, Oldřiška ; Potůčková, Markéta (advisor) ; Lysák, Jakub (referee)
Application of airborne laser scanning in forests Abstract The main aim of this work is to determine a laser pulse penetration through forest stands according from airborne laser data acquired at the beginning of a vegetation growth. Another goal is to evaluate different methods of mean tree height determination. In the first part the technology of airborne laser scanning (ALS) and its application in forest inventory is introduced. The use of ALS data for generating digital terrain models in forested areas is evaluated. A project of a new digital elevation model of the Czech Republic is introduced. Furthermore, methods of data processing are described and characterization of areas of interest in Dobruska and Sobotka is done. Comparison of a laser pulse penetration through different forest types and evaluation of a suitable method for mean tree height determination are main outputs of this work. Keywords: airborne laser scanning, digital terrain model, laser pulse penetration, mean tree height.
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