| Abstract | (semestr ) |
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| The lectures focuse on an explanation of the physical principle on which remote sensing (RS) is based, a technical explanation of measurement methods, the behaviour of individual substances in response to interaction with different types of electromagnetic radiation, and the possibility of using RS for a range of applications. The lectures contain: introduction to RS. Basic physical and mathematical relations. Image creation. Detectors and sensors. Spectral properties of substances and land features, spectral signatures. Image manipulation, histogram. Image enhancement, edge filters. Supervised and unsupervised classification, clusters, training sets. Practical use of RS. Examples of data. |
| Content | |
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Generaly, this course shows basics processing methods and use of remotely sensed data. Theoretical lectures provide basics in optics, mathematics, surveying and physics for full understanding of the theme. In practical lessons the theory turns to practice and students process their own data from Sentinel 2 satelite using an open source ESA SNAP software.
The course is focused on explaining possibilities, principles and limits of RS for a wide range of applications like cartography and mapping, water management, forestry, agriculture, environment, urban architecture, disaster management risk reduction and many others.
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| Literature | |
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[1] Dobrovolný, P.: Remote Sensing. Brno. 1998. ISBN: 80-210-1812-7
[2] Lillesand, T.M., Kiefer, R.W., Chipman, J.W.: Remote Sensing and Image Interpretation,
[3] th Ed., Wiley, 2007. ISBN: 978-1-118-34328-9
[4] Canty, M.J.: Image Analysis, Clasification and Change Detection in Remote Sensing. CRC Taylot& Francis. 2007. ISBN: 0-8493-7251-8
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| Prerequisities | |
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| Studijní plány | |
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