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Legislative of The Krkonoše Mountains National Park and other Europian national parks with respect to the regulation of conditions of the tourist trade
JELÍNKOVÁ, Zuzana
The bachelor thesis is made for the purposes of authority of The Krkonoše Mountains National Park (KRNAP). In the thesis there is documented the state of the sport activities and their position in the legislative in the area of The Krkonoše Mountains National Park and other European national parks with similar geomorphological conditions. The aim of this work is to compare the problems of sport and recreational activities and their solution in the Czech national park and in comparison to the foreign countries. The alternative aim of this thesis is the proposal of sustainable arrangements which are successfully used in the foreign countries and that would be possible to implement them to the Czech legislative defining the conditions of travel movement in the national parks.
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Development of selected invasive species and meadow vegetation classification algorithm in the Krkonoše Mountains using hyperspectral data
Jelének, Jan ; Kupková, Lucie (advisor) ; Halabuk, Andrej (referee)
Development of selected invasive species and meadow vegetation classification algorithm in the Krkonoše Mountains using hyperspectral data Abstract The thesis deals with utilization of airbone APEX hyperspectral image data for selected invasive species and meadow vegetation classification in the study area of the Krkonoše Mountains National Park. The mian goal of the thesis was to develop of classification algorithm based on proposed vegetation indices. The approach was based on the utilization of in-situ LAI, fAPAR, chlorophyll content data and analysis of their relation with vegetation spectral properties. The work also deals with several problems regarding LAI - vegetation indices relationship, namely saturation of LAI and mutual correlation of LAI and chlorophyll content. Tha classification was focued on invasive species Rumex alpinus and Lupinus polyphyllus, meadow vegetation with dominant Nardus stricta and dominant Trisetum flavescens and cutted lawns. Besides the proposed approach, the presented work resulted in several classification maps of study area and in spectral libraries, containing ground level spectra of studied invasive species, meadow vegetation types and several other meadow species. Keywords: hyperspectral image data, APEX, LAI, fAPAR, vegetation indices, invasive species, meadow...
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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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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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Development of selected invasive species and meadow vegetation classification algorithm in the Krkonoše Mountains using hyperspectral data
Jelének, Jan ; Kupková, Lucie (advisor) ; Halabuk, Andrej (referee)
Development of selected invasive species and meadow vegetation classification algorithm in the Krkonoše Mountains using hyperspectral data Abstract The thesis deals with utilization of airbone APEX hyperspectral image data for selected invasive species and meadow vegetation classification in the study area of the Krkonoše Mountains National Park. The mian goal of the thesis was to develop of classification algorithm based on proposed vegetation indices. The approach was based on the utilization of in-situ LAI, fAPAR, chlorophyll content data and analysis of their relation with vegetation spectral properties. The work also deals with several problems regarding LAI - vegetation indices relationship, namely saturation of LAI and mutual correlation of LAI and chlorophyll content. Tha classification was focued on invasive species Rumex alpinus and Lupinus polyphyllus, meadow vegetation with dominant Nardus stricta and dominant Trisetum flavescens and cutted lawns. Besides the proposed approach, the presented work resulted in several classification maps of study area and in spectral libraries, containing ground level spectra of studied invasive species, meadow vegetation types and several other meadow species. Keywords: hyperspectral image data, APEX, LAI, fAPAR, vegetation indices, invasive species, meadow...
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