Možnosti EnMAP-Box pro výuku zpracování hyperspektrálních družicových snímků

Abstract

The bachelor thesis focuses on the possibilities of using the EnMAP-Box software for teaching the processing of hyperspectral satellite imagery. The theoretical part describes the physical principles of remote sensing, the characteristics of hyperspectral data, and their processing. It also introduces the EnMAP mission and the EnMAP-Box plugin, including its functions and applications. The thesis focuses on individual data processing steps such as pre-processing, dimensionality reduction, and analytical methods. The practical part includes the design and implementation of educational exercises that introduce students to working with hyperspectral data in the QGIS environment. The exercises cover data loading, spectral analysis, dimensionality reduction, and classification. The outcome of the thesis is a methodological framework suitable for teaching. The contribution of the thesis lies in verifying the usability of EnMAP-Box as a tool for expanding education in the field of remote sensing.