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Mapování současného stavu vegetace při horní hranici lesa na území NPR Praděd
Vršanová, Marie
The aim of the thesis was to derive complex information of the current vegetation cover in the alpine treeline ecotone in Praděd Reserve by using remote sensing. Particularly thesis focuses on an area and expansion of dwarf pine (Pinus mugo Turra) at site above the alpine treeline ecotone around the peak Praděd. Two types of aerial photograph from 2000 and 2012 and satellite images from Landsat 7 (yaer 2000) and Landsat 8 (year 2013) were used for mapping vegetation. Supervised and unsupervised classification accesses and also "per-pixel" and objected classification methods were used in image processing. All the classifications confirmed expansion of dwarf pine stands in the alpine treeline vegetation. Most precise method was based on supervised objected classification.
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Evaluation of tree crown detection with various spatial resolutions of aerial images
Miklas, Vojtěch
This work reviewed various tree detection and delineation algorithms and developed another one for ESRI ArcGIS Desktop software. This algorithm which employs the principles of local maxima filtering and region growing technique was enhanced by successfully applying NDVI index. Consequently, this algorithm was tested on 11 sample plots. These plots were located in the forest stand 187 C 10a (according to Forest Management Plan 2013 - 2022) in the forest section Proklest which belongs to the forest district Habrůvka in The Training Forest Enterprise Masaryk Forest Křtiny. The results were consequently, evaluated using these 6 different spatial resolutions: 10 cm, 20 cm, 40 cm, 60 cm, 80 cm and 100 cm. This evaluation was based on the comparison with manually vectorised 1,560 tree crowns. Spatial resolution of 40 cm provided the most accurate results for tree counting. At a standard deviation of 7.8 %, the accuracy reached 98 % of the reference layer. In the case of tree crown delineation, the most accurate results were provided for the spatial resolution of 80 cm. The accuracy reached 103 % with standard deviation of 9.6 %.
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Altimetry visualisation in maps development
ČADA, Jan
The topic of this bachelor thesis "Altimetry visualisation in maps development" brings an overview and basic characteristics of individual methods used for visualisation of altimetry. The thesis is dealing with methods used in current map creation but also with ones which are not used anymore. The goal of this work is to show an overview of a development of each visualisation´s method and description of its pros and cons.
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Využití dálkového průzkumu Země k monitoringu a hodnocení zemědělského sucha
Otrusina, Adam
The aim of this study was to examine the possibilities of remote sensing for monitoring and evaluation of agricultural drought, with a particular focus on Normalized Difference Vegetation Index (NDVI). Reference areas were selected for the research, which were the South Moravian Region and the Olomouc Region, more specifically the districts Blansko, Brno-country, Břeclav, Hodonín, Vyškov and Znojmo in the South Moravian Region and the districts Olomouc, Prostějov and Přerov in the Olomouc Region. The monitored agricultural crops were spring barley and winter wheat. For these areas NDVI for the years 2000 - 2012 was prepared and analyzed. The usability of NDVI was evaluated to monitor drought in the conditions of the Czech Republic using z-index. Strong links have been established between NDVI and yield of spring barley and winter wheat. To quantify these relationships Pearson's correlation coefficient r was used, which reached the highest values of r = 0.94, and the coefficient of determination R2, highest value of which was R2 = 0.89. It has been proved, that the use of NDVI is a suitable tool for the prediction of crop yields. A weaker relationship was found between NDVI and z-index, where the highest value calculated by Pearson's correlation coefficient reached r = 0.70 and by coefficient of determination R2 = 0.49. To achieve stronger relationship the possibility was proposed to use z-index in more detailed spatial and temporal resolution, or any other tool for the evaluation of drought.
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