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Remote Sensing

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code548-0004/08
Number of ECTS Credits Allocated5 ECTS credits
Type of Course Unit *Choice-compulsory type B
Level of Course Unit *Second Cycle
Year of Study *First Year
Semester when the Course Unit is deliveredSummer Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
HOR10prof. Ing. Jiří Horák, Dr.
PEN63Ing. Tomáš Peňáz, Ph.D.
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.
Learning Outcomes of the Course Unit
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.
Course Contents
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. Type of images.
5) Radiometer. Mechanic scanner. Electronic scanner. Geometrical errors.
6) Carriers. Satellites and instruments.
7) Principles of remotely sensed data processing.
8) Interpretation of still images.
9) Radar analysis.
10) Principles of digital image processing.
11) Corrections and adjustation.
12) Image enhancement.
13) Classification (unsupervised, supervised, hybrid). Object-oriented classification.
14) Application of Remote Sensing
Recommended or Required Reading
Required Reading:
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.
Rees, W.G.: Remote Sensing of Snow and Ice. Taylor & Francis, Cambridge, 2006, 285 stran.
Duzgun S., Demirel N: Remote Sensing of the Mine Environment. CRC press, 2011.
Horák, J.: Dálkový průzkum Země. VŠB-TU Ostrava, 2014.
Halounová, L., Pavelka, K.: Dálkový průzkum Země. ČVUT Praha, 2008.
Dobrovolný, P.: Dálkový průzkum Země. Digitální zpracování obrazu. PřF MU Brno, 1998, 208 stran.
Lillesand T., Kiefer R., Chipman J.: Remote sensing and image interpretation. Wiley, 2015.
Recommended Reading:
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
Liu J.G, Mason P.J.: Image Processing and GIS for Remote Sensing. Willey, 2016. ISBN 9781118724200
Pavelka, K.: Zpracování obrazových záznamů DPZ. Skripta ČVUT Praha, 1999, 138 stran.
Kolář, J., Halounová, L., Pavelka, K.: Dálkový průzkum Země. Skripta ČVUT Praha, 1997, 164 stran.
Řeřicha, J.: Dálkový průzkum Země. ŠKOLA GEOinfo č. 3, 5, 6 1998
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
Graded exercises evaluationGraded credit100 51