Remote Sensing
| Type of study | Bachelor |
|---|---|
| Language of instruction | Czech |
| Code | 548-0004/11 |
| Abbreviation | DPZ |
| Course title | Remote Sensing |
| Credits | 6 |
| Coordinating department | Department of Geoinformatics |
| Course coordinator | Ing. Lucie Orlíková, Ph.D. |
Subject syllabus
1. Electromagnetic radiation, electromagnetic spectrum. Radiometric variables.
2. Sources of radiation. Interaction with environment. Reflection.
3. Influence of atmosphere. Disperse. Absorption. Transmission function.
4. Land objects and its identification and evaluation. Vegetation.
5. Water. Rocks and soils. Anthropogenetic surfaces.
6. Data capturing. Camera. Type of images.
7. Radiometer. Scanners and their parameters.
8. Carriers. Satellites and instruments.
9. Principles of remotely sensed data processing. Interpretation of still images.
10. Principles of digital image processing. Image pre-processing.
11. Image enhancement.
12. Pixel-based classification (supervised, unsupervised, hybrid). Object-oriented classification.
13. Radar analysis.
14. Application of Remote Sensing
2. Sources of radiation. Interaction with environment. Reflection.
3. Influence of atmosphere. Disperse. Absorption. Transmission function.
4. Land objects and its identification and evaluation. Vegetation.
5. Water. Rocks and soils. Anthropogenetic surfaces.
6. Data capturing. Camera. Type of images.
7. Radiometer. Scanners and their parameters.
8. Carriers. Satellites and instruments.
9. Principles of remotely sensed data processing. Interpretation of still images.
10. Principles of digital image processing. Image pre-processing.
11. Image enhancement.
12. Pixel-based classification (supervised, unsupervised, hybrid). Object-oriented classification.
13. Radar analysis.
14. Application of Remote Sensing
E-learning
Literature
Liu J.G, Mason P.J.: Image Processing and GIS for Remote Sensing. Willey, 2016. ISBN 9781118724200.
Lillesand T., Kiefer R., Chipman J.: Remote sensing and image interpretation. Wiley, 2015.
Richards, J. A. Remote Sensing Digital Image Analysis. 6th ed. Cham: Springer, 2022. ISBN 978-3-030-82326-9 .
Jensen, J. R. Introductory Digital Image Processing: A Remote Sensing Perspective. 4th ed. Pearson, 2022. ISBN 978-0-13-755111-8 .
Duzgun S., Demirel N: Remote Sensing of the Mine Environment. CRC press, 2011.
Lillesand T., Kiefer R., Chipman J.: Remote sensing and image interpretation. Wiley, 2015.
Richards, J. A. Remote Sensing Digital Image Analysis. 6th ed. Cham: Springer, 2022. ISBN 978-3-030-82326-9 .
Jensen, J. R. Introductory Digital Image Processing: A Remote Sensing Perspective. 4th ed. Pearson, 2022. ISBN 978-0-13-755111-8 .
Duzgun S., Demirel N: Remote Sensing of the Mine Environment. CRC press, 2011.
Advised literature
De Lange, N. Geoinformatics in Theory and Practice: An Integrated Approach to Geoinformation Systems, Remote Sensing and Digital Image Processing. Berlin/Heidelberg: Springer, 2023. ISBN 978-3-662-65757-7 .
Petrelli, M. Machine Learning for Earth Sciences: Using Python to Solve Geological Problems. Cham: Springer, 2023. ISBN 978-3-031-35113-6 .
Andronache, C. (Ed.), 2018. Remote Sensing of Clouds and Precipitation, Springer Remote Sensing/Photogrammetry. Springer International Publishing, Cham. https://doi.org/10.1007/978-3-319-72583-3
Clevers, J: Overview RS-Basics Digital Lectures. Wageningen, 1999. On-line: http://www.geo-informatie.nl/courses/grs20306/lectures/overview.htm
Petrelli, M. Machine Learning for Earth Sciences: Using Python to Solve Geological Problems. Cham: Springer, 2023. ISBN 978-3-031-35113-6 .
Andronache, C. (Ed.), 2018. Remote Sensing of Clouds and Precipitation, Springer Remote Sensing/Photogrammetry. Springer International Publishing, Cham. https://doi.org/10.1007/978-3-319-72583-3
Clevers, J: Overview RS-Basics Digital Lectures. Wageningen, 1999. On-line: http://www.geo-informatie.nl/courses/grs20306/lectures/overview.htm