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National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
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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