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Water course buffer zone in agricultural landscape
Barva, Jiří ; Forejtníková, Milena (referee) ; Králová, Helena (advisor)
The bachelor thesis provides summary of comprehensive information concerning the importance and establishment of the buffer strips along watercourses in the agricultural landscape. The input section focuses on solving activities and analysis of Czech legislative instruments. The main part describes the important functions of the buffer strips, which are based on foreign studies. The proposal of using the buffer strips in our conditions were made on the base of obtained information at the end of this work.
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Časové změny vlivu vegetačního krytu na místní klima intravilánu obce pomocí metod dálkového průzkumu Země
NÁROVEC, Václav
The diploma thesis deals with changes in vegetation indices and surface temperatures of previously undeveloped peripheral areas of České Budějovice and its immediate surroundings, which were built up after 1990. Areas that were undeveloped before 1990 and spread over either permanent grassland or arable land with agricultural crops. These areas are divided into four types - industrial areas, service areas, residential areas of multiapartment houses and residential areas of solitary family houses. The work uses Landsat satellite images for the years 1990, 1993, 1999, 2006, 2010, 2015 and 2020. The studied areas were examined in the period before construction, just after construction and with a distance after construction. In the period before the transformation (1990), there were high values of vegetation indices NDVI (Normalized Difference Vegetation Index), SAVI (Soil Adjusted Vegetation Index) a NDMI (Normalized Difference Moisture Index) and low values of surface temperatures in most of the studied areas. However, during the construction, the vegetation decreased and thus the values of vegetation indices decreased and the surface temperatures increased. Subsequent improvements were observed in areas with multi-apartment and family houses, where the vegetation of parks and residential gardens grew after a certain time. In the vicinity of the industrial area and service areas, where vegetation did not grow, the values of the monitored indices remained low.
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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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Classification of forest vegetation using remote sensing data of high and very high spatial resolution
Riedl, Martin ; Štych, Přemysl (advisor) ; Mikita, Tomáš (referee)
Classification of forest vegetation using remote sensing data of high and very high spatial resolution Abstract The purpose of this work is to classify forest vegetation and create a legend (land cover) by using data of very high (World View - 2) and high (Landsat - 8) spatial resolution for the part of the territory of the National Park of the Šumava. The first part of the work focuses on the description of the methods of per-pixel classification. In the practical part of the methods are applied to the satellite data. For all the results of the classification accuracy is detected. Other parts of the work is the description of the legend of ÚHÚL forestry and legend of Corine land cover. By using satellite imagery (the high resolution and a very high resolution) to classify forest vegetation using the classification methods. And create a map file, that will be most correspond to the reality of the area of Šumava national park. Additional information is drawn from the forest plans ÚHÚL.) Keywords: Classification Landsat - 8, World View - 2, Šumava, Vegetation Cover, Land Cover
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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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Water course buffer zone in agricultural landscape
Barva, Jiří ; Forejtníková, Milena (referee) ; Králová, Helena (advisor)
The bachelor thesis provides summary of comprehensive information concerning the importance and establishment of the buffer strips along watercourses in the agricultural landscape. The input section focuses on solving activities and analysis of Czech legislative instruments. The main part describes the important functions of the buffer strips, which are based on foreign studies. The proposal of using the buffer strips in our conditions were made on the base of obtained information at the end of this work.
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