Facultative class 3 - selected topics of environment remote sensing  

The course is divided into two parts. In the first, the student becomes acquainted with selected methods of satellite image processing (multi, super and hyperspectral), such as: creating color composites for the needs of environmental analyzes - selecting the proper spectral ranges for specific purposes, creating masks of selected objects (e.g. water mask), statistical analysis of satellite images in global and local terms - advantages and disadvantages of both approaches, calculation of vegetation and soil indicies and their role in the natural environment research. In the second part of the course, students, in small teams, carry out a project aimed at analyzing and assessing the changes in the environment with the use of LANDSAT or Sentinel satellite data, using e.g. supervised classification and/or masking.
Presential
English
Facultative class 3 - selected topics of environment remote sensing
English

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