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 2018/2019
Remote Sensing
| Type of study | Bachelor |
|---|---|
| Language of instruction | Czech |
| Code | 548-0004/04 |
| 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.
2) Sources of radiation. Interaction with environment. Reflection. Influence of atmosphere. Disperse in atmosphere. Absorption in atmosphere. Transmission function of the atmosphere.
3) Land objects and its identification and evaluation.
4) Data capturing. Camera. Film material. Type of images. Radiometer.
Mechanic scanner. Electronic scanner
5) Geometrical errors during image capturing.
6) Carriers. Satellites and instruments.
7) Principles of remotely sensed data processing. The goal of Remote sensing.
8) Interpretation of still images.
9) Radar analysis.
10) Principles of digital image processing.
11) Image pre-processing. Image enhancement. Classification.
12) Application of Remote Sensing
units and indicators.
2) Sources of radiation. Interaction with environment. Reflection. Influence of atmosphere. Disperse in atmosphere. Absorption in atmosphere. Transmission function of the atmosphere.
3) Land objects and its identification and evaluation.
4) Data capturing. Camera. Film material. Type of images. Radiometer.
Mechanic scanner. Electronic scanner
5) Geometrical errors during image capturing.
6) Carriers. Satellites and instruments.
7) Principles of remotely sensed data processing. The goal of Remote sensing.
8) Interpretation of still images.
9) Radar analysis.
10) Principles of digital image processing.
11) Image pre-processing. Image enhancement. Classification.
12) Application of Remote Sensing
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