Z8108 Remote sensing

Faculty of Science
Spring 2016
Extent and Intensity
2/1/0. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Ing. Kateřina Tajovská, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Rudolf Brázdil, DrSc.
Department of Geography - Earth Sciences Section - Faculty of Science
Contact Person: prof. RNDr. Petr Dobrovolný, CSc.
Supplier department: Department of Geography - Earth Sciences Section - Faculty of Science
Tue 13:00–14:50 Z3,02045
  • Timetable of Seminar Groups:
Z8108/01: Tue 15:00–15:50 Z1,01001b, K. Tajovská
Z8108/02: Tue 11:00–11:50 Z1,01001b, K. Tajovská
Prerequisites (in Czech)
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 40 student(s).
Current registration and enrolment status: enrolled: 0/40, only registered: 0/40
fields of study / plans the course is directly associated with
there are 18 fields of study the course is directly associated with, display
Course objectives
At the end of this course, students should be able to understand and be able to explain the following topics: Concepts and foundations of Remote Sensing. Energy sources and radiation principles, energy interactions in the atmosphere and with the Earth surface features. Electromagnetic spectrum and its basic parts used in Remote Sensing. History of Remote Sensing. Ideal and real Remote Sensig system. Methods of Remote Sensing. Spectral reflectance curves. Basic elements of photographic systems. Principles of multispectral images. Multispectral, thermal and hyperspectral scanning. Satellite systems. Basic orbits. Characteristic of Earth resources satellites and Meteorological satellites. Principles of photointerpretation. Principles of photogrammetry and orthophoto. Principles of digital image processing. Utilization of pictures nad images in geographical disciplines. Student should be able to understand basic features of remote sensing data and methods explained in individual lectures. He/she would be able to explain when to apply individual data and make reasoned decisions about preconditions that are necessary for proper utilization of RS methods in question. He/she would be able to work with information on satellite data preparation, make deductions based on acquired knowledge concerning remotely sensed data and properly interpret results of multispectral image classification.
  • 1. Definition of Remote Sensing (RS) 2. Physical basis of RS, radiation laws 3. Spectral characteristics of objects. Spectral signatures of basic surfaces. 4. Aerial photography and aerial imaging, flight planing, interpretation of aerial photography. 5. Digital imagery. RS Satellite systems 6. Basic features of digital imagery 7. Thermal RS, features of thermal imagery 8. Microwave RS, active RS, features of RADAR imagery. 9. Current satellite systems. Meteorological satellites 10. Current satellite systems on Earth resources 11. RS Change detection 12. Selected applications of RS methods 13. Thematic and topographic mapping from satellites, data sources
  • LILLESAND, Thomas M., Ralph W. KIEFER and Jonathan W. CHIPMAN. Remote sensing and image interpretation. 5th ed. Hoboken, N.J.: John Wiley & Sons, 2004. xiv, 763. ISBN 0471152277. info
  • CAMPBELL, James B. Introduction to remote sensing. New York: Guilford Press, 1987. xxiv, 551. ISBN 0-89862-776-1. info
  • Advances in environmental remote sensing. Edited by F. Mark Danson - Stephen E. Plummer. Chichester: John Wiley & Sons, 1995. 184 s. ISBN 0471954640. info
  • DOBROVOLNÝ, Petr. Dálkový průzkum Země. Digitální zpracování obrazu. 1. vyd. Brno: Masarykova univerzita, 1998. 208 s. ISBN 8021018127. info
  • LILLESAND, Thomas M. and Ralph W. KIEFER. Remote sensing and image interpretation. 3rd ed. New York: John Wiley & Sons, 1994. xvi, 750. ISBN 0471577839. info
Teaching methods
Lectures explaining basic terms of remote sensing (RS) and presenting individual examples using RS data and methods step by step. Practical training based on 11 exercises that are solved using satelite imagery and image processing software.
Assessment methods
Lecture and compulsory practical class exercises. Sucessfull pass of all exercises is necessary prerequisite of written test on theory of RS.
Language of instruction
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2017, spring 2018, Autumn 2018, Spring 2019, Spring 2020.
  • Enrolment Statistics (Spring 2016, recent)
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