548-0004/11 – Remote Sensing (DPZ)
Gurantor department | Department of Geoinformatics | Credits | 6 |
Subject guarantor | Ing. Lucie Orlíková, Ph.D. | Subject version guarantor | Ing. Lucie Orlíková, Ph.D. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 2 | Semester | summer |
| | Study language | Czech |
Year of introduction | 2021/2022 | Year of cancellation | |
Intended for the faculties | HGF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
The aim of the subject is to give information students about principles and methods of remote sensing, to understand ways of application received theoretical knowledge, to obtain capability to practically realise methods of image processing and assessment of obtained information, critically evaluate outputs.
Teaching methods
Lectures
Tutorials
Summary
The lessons are focused on an introduction to the study of remote sensing methods. The first part deals with physical principles required to understand the fundament of these methods. The second part is focused on technical conditions and tools for data acquisiton. Further part is dedicated to the methods of processing data from remote sensing especially methods and procedures of digital processing, including pre-processing of image data, its enhancement and classification methods. The final part describes interpretation and applications.
Compulsory literature:
Recommended literature:
Moigne J.L., Netanyahu N.S., Eastman R.D.: Image Registration for Remote Sensing. Cambridge University Press, 2011.
Schultz, G.A., Engman, E.T. (Eds.), 2000. Remote Sensing in Hydrology and Water Management. Springer Berlin Heidelberg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59583-7
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
Way of continuous check of knowledge in the course of semester
Students are asked about knowledge from areas that they should have already known from previous lectures. Students also work on individual tasks. Tasks are frequently based on understanding of previous, simpler tasks. Student must pass writing and oral exam.
E-learning
Other requirements
No additional requirements are imposed on the student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
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
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction