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.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:179967 |
| Date | January 2014 |
| Creators | Otrusina, Adam |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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