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Mathematical Methods of Image Segmentation for Remote Sensing Applications
Novotný, Jan ; Klimánek, Martin (referee) ; Štarha, Pavel (referee) ; Martišek, Dalibor (advisor)
Segmentation of an image into individual tree crowns is a key step in the processing of remotely sensed data for forestry practice. The doctoral thesis gives a broad overview of this topic. It comprehends theoretical context from mathematical point of view and defines basic terms from airborne imaging and laser scanning. Mathematical methods of tree detection are focused on a robust adaptation to the actual conditions in a region of interest. A novel approach of crown area delineation is introduced, it combines a seeded region growing technique with an active contour as a crown boundary representation. The parametrisation of all algorithms is analysed in a practical half of the thesis and more application-oriented issues are mentioned. Executable computer programs are attached.
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Modelling of selected forest geometric parameters from airborne laser scannig data
Sedláčková, Oldřiška ; Potůčková, Markéta (advisor) ; Klimánek, Martin (referee)
Modelling of selected forest geometric parameters from airborne laser scanning data Abstract The main aim of this work is to approximate the shape of a tree crown with mathematically describable 3D shape based on airborne laser scanning (ALS) data. And consequently derive geometrical parameters describing the tree from this model. Included in the work is a custom designed algorithm based on angular segmentation. Measured results of this algorithm are then compared to an algorithm based on RANSAC and field measurement. The first part of this work describes airborne laser scanning, its use to derive characteristics of forest stands and individual trees and the theory of tree crown modelling. The next part contains a description of both algorithms and presentation of results and field measurements. The conclusion summarizes and evaluates the outputs of the custom angular segmentation algorithm and discusses its possible modifications. Keywords: airborne laser scanning, tree height, crown width, crown height, crown cover, crown volume, crown shape, RANSAC
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Mathematical Methods of Image Segmentation for Remote Sensing Applications
Novotný, Jan ; Klimánek, Martin (referee) ; Štarha, Pavel (referee) ; Martišek, Dalibor (advisor)
Segmentation of an image into individual tree crowns is a key step in the processing of remotely sensed data for forestry practice. The doctoral thesis gives a broad overview of this topic. It comprehends theoretical context from mathematical point of view and defines basic terms from airborne imaging and laser scanning. Mathematical methods of tree detection are focused on a robust adaptation to the actual conditions in a region of interest. A novel approach of crown area delineation is introduced, it combines a seeded region growing technique with an active contour as a crown boundary representation. The parametrisation of all algorithms is analysed in a practical half of the thesis and more application-oriented issues are mentioned. Executable computer programs are attached.
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Typology of Post-Industrial Landscape in Usti Region
Kolejka, Jaromír ; Klimánek, M.
The location, mapping and typology of post-industrial landscapes (PIL) are the most common requirements of planners and decision makers on all levels of administration or resolution. Data on industrial heritage was applied for the identification and typology of the post-industrial landscapes on the regional level on the example of the Usti Region in the North of the Czech Republic. This Region was presumably the most industrialized territory in the country and was significantly changed after the structural changes in regional economy. The industrial heritage is represented by objects and traces in any landscape left by the industry in the previous period which is not serving the present industrial activities. Accessible data sources on man-made land, land use, brownfields, undermined sites, contaminated sites, industrial architectural heritage, etc. were applied to identify and classify the post-industrial landscape (PIL) in the study region using GIS technology.
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New mapping of post-industrial landscape in Czech Republic
Kolejka, Jaromír ; Klimánek, M.
Using additional databases on industrial architectural heritage, 128 examples of post-industrial landscapes (PILs) were identified on the Czech territory. These PILs were subdued to the genetic classification. One-to four-word-names were applied to describe individual PIL types. Their geographic distribution was analyzed in the Czech Republic.
Fulltext: content.csg -  PDF
Plný tet: Kolejka_Casoprostor zmeny_2012 - PDF
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The windthrows in Šumava Mts caused by Kyrill hurricane and terrain features
Kolejka, Jaromír ; Klimánek, M. ; Mikita, T. ; Svoboda, Jaroslav
Relationships between the windthrow origin and location on one hand and terrain features (slope, aspect, elevation,curvity etc.) on the other hand were geostatistically derived. While the impact of individual terrain features was statistically low, the complex terrain influence based in the terrain windthrow risk classes was statistically important. Relationships between the windthrow origin and location on one hand and terrain features (slope, aspect, elevation,curvity etc.) on the other hand were geostatistically derived. While the impact of individual terrain features was statistically low, the complex terrain influence based in the terrain windthrow risk classes was statistically important.
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Advanced analysis of windthrows using GIS
Mikita, T. ; Kolejka, Jaromír ; Klimánek, M.
Forest damages caused by storm winds are very common event in Šumava Mts. since written history. Growing number of hurricanes here is followed by large wind fall and endangered local economy, nature protection, human life and recreation. Geographical analysis using GIS was applied to identify main factors influencing the location and level of damages.
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