Vineyards Across Continents: GIS and Remote Sensing Insights into European and South American Environments

Hakan Erim

Bachelor's thesis

Abstract:

This thesis explores the use of GIS and remote sensing to support precision viticulture in South Moravia. The study focuses on mapping three vineyards in the region and analyzing their vegetation indices using satellite imagery from the years 2019 to 2022. The main objective is to identify areas within the vineyards that exhibit higher vegetation growth, as this can indicate potential areas for improved grape quality and higher yields. To achieve this objective, several vegetation indices were analyzed, including NDVI, NDMI, and RVI. These indices were computed using satellite imagery obtained from the Landsat 8 and Sentinel-2 satellites. The study also included an analysis of topographic data, such as elevation and slope, to investigate their impact on vine growth and vegetation indices. The results show that all three vineyards exhibit higher vegetation indices in areas with higher elevation and slope. The vineyard with the highest elevation and slope also had the highest vegetation indices compared to the other two vineyards. Furthermore, statistical analysis using ANOVA revealed significant differences in the vegetation indices of the three vineyards. The findings of this study have important implications for precision viticulture in South Moravia. By identifying areas with higher vegetation growth, vineyard managers can target these areas for more intensive management practices, such as increased irrigation or fertilization. This can lead to improved grape quality and higher yields, ultimately resulting in higher profits for vineyard owners. Overall, this study demonstrates the potential of GIS and remote sensing for supporting precision viticulture in South Moravia. The use of these technologies can help us to understand difference between selected vineyards and what could potentially contribute vegetation indices so that leading to improved grape quality and higher yields and we can understand if vineyard management requires a stable techniques or techniques should be changed depending on current factors. .

Keywords

Remote Sensing, Vineyard, GIS

Language used: English

Date on which the thesis was submitted / produced: 30. 3. 2024

Thesis defence

• Date of defence: 27. 5. 2024
• Supervisor: Ing. Jan Komárek, Ph.D.
• Reader: Olga Špatenková, D.Sc.

Czech University of Life Sciences Prague

Faculty of Environmental Sciences

Bachelor programme:
Geographic Information Systems and Remote Sensing in Environmental Sciences