Astraios Courses230
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Facultative class 3 - selected topics of environment remote sensing  

Description

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.

Delivery mode

Presential
English

Name

Facultative class 3 - selected topics of environment remote sensing
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation

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