Remote Sensing
| Type of study | Follow-up MasterBachelor |
|---|---|
| Language of instruction | English |
| Code | 548-0004/09 |
| Abbreviation | DPZ |
| Course title | Remote Sensing |
| Credits | 5 |
| Coordinating department | Department of Geoinformatics |
| Course coordinator | Ing. Lucie Orlíková, Ph.D. |
Subject syllabus
1) Electromagnetic radiation, electromagnetic spectrum. Radiometric
units and indicators. Sources of radiation.
2) Reflection. Interaction with environment.
3) Influence of atmosphere.
4) Land objects and its identification and evaluation.
5) Water. Rocks and soils. Anthropogenic surfaces.
6) Data capturing. Camera. Type of images. Radiometer. Scanners
7) Carriers. Satellites and instruments.
8) Principles of remotely sensed data processing. Interpretation of still images.
9) Principles of digital image processing. Corrections and adjustation.
10) Image enhancement.
11) Application of Artificial Intelligence and Machine Learning Methods in Remote Sensing Data Processing and Classification – Automated Image Data Classification, Object and Change Detection, Opportunities and Limitations of AI Use
12) Radar analysis, lidar.
13) Applications of Remote Sensing
units and indicators. Sources of radiation.
2) Reflection. Interaction with environment.
3) Influence of atmosphere.
4) Land objects and its identification and evaluation.
5) Water. Rocks and soils. Anthropogenic surfaces.
6) Data capturing. Camera. Type of images. Radiometer. Scanners
7) Carriers. Satellites and instruments.
8) Principles of remotely sensed data processing. Interpretation of still images.
9) Principles of digital image processing. Corrections and adjustation.
10) Image enhancement.
11) Application of Artificial Intelligence and Machine Learning Methods in Remote Sensing Data Processing and Classification – Automated Image Data Classification, Object and Change Detection, Opportunities and Limitations of AI Use
12) Radar analysis, lidar.
13) Applications 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