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.
Terminated in academic year 2006/2007
Remote Sensing
| Type of study | - |
|---|---|
| Language of instruction | Czech |
| Code | 548-0004/02 |
| Abbreviation | DPZ |
| Course title | Remote Sensing |
| Coordinating department | Department of Geoinformatics |
| Course coordinator | Ing. Lucie Orlíková, Ph.D. |
Course aims
The aim of the course is to acquire knowledge of the principles and methods of remote sensing and their application in solving practical problems. Students develop the ability to select and apply appropriate methods of image data processing, evaluate and interpret the information obtained, and critically assess the quality of input data and the results achieved.
Literature
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