ZA322 Global Change Remote Sensing

Přírodovědecká fakulta
jaro 2024
Rozsah
2/1/0. 5 kr. Ukončení: zk.
Vyučující
Ing. Jonáš Hruška, Ph.D. (přednášející)
doc. PhDr. Mgr. Hana Pokorná, Ph.D. (přednášející)
Ing. Kateřina Tajovská, Ph.D. (přednášející)
Garance
doc. PhDr. Mgr. Hana Pokorná, Ph.D.
Geografický ústav – Sekce věd o Zemi – Přírodovědecká fakulta
Kontaktní osoba: Ing. Kateřina Tajovská, Ph.D.
Dodavatelské pracoviště: Geografický ústav – Sekce věd o Zemi – Přírodovědecká fakulta
Rozvrh
Po 19. 2. až Ne 26. 5. St 14:00–15:50 Z7,02017a
  • Rozvrh seminárních/paralelních skupin:
ZA322/01: Po 19. 2. až Ne 26. 5. Po 14:00–14:50 Z7,02017a, J. Hruška, K. Tajovská
Předpoklady
Basic knowledge of PC skills
Omezení zápisu do předmětu
Předmět je určen pouze studentům mateřských oborů.
Mateřské obory/plány
Cíle předmětu
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. Physical principles of the electromagnetic spectrum and its basic parts used in Remote Sensing. Methods of Remote Sensing. Spectral behaviour of objects. Principles of multispectral images. Satellite systems. Principles of digital image processing. Use of remote sensing methods to study global change. Students should be able to understand the 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.
Výstupy z učení
At the end of this course, the student will be able to understand and explain the concept, advantages and shortcomings of Remote Sensing data that are explained in each lesson.
He will be able to explain when to use specific data and methods with respect to their time, spatial, spectral and radiometric resolution, to provide a rational justification for the conditions of use of the Remote Sensing data.
He should be able to make professional decisions about data preparation, application of basic image processing methods, and interpret and verify the results of analyzes based on acquired knowledge.
At the same time he will be able to apply available data from remote sensing to monitor global changes in selected areas.
Osnova
  • 1. Definition of Remote Sensing (RS)
  • 2. Physical basis of RS, spectral characteristics of objects.
  • 3. Digital imagery. RS Satellite systems
  • 4. Current satellite systems. Meteorological satellites. Current satellite systems on Earth resources
  • 5. RS Image classification, Change detection
  • 6. Selected applications of RS methods in problems of global change
  • 7. Thematic and topographic mapping from satellites, data sources
  • 8. Own practical part - seminar work on a given topic
Literatura
    doporučená literatura
  • LILLESAND, Thomas M., Ralph W. KIEFER a Jonathan W. CHIPMAN. Remote sensing and image interpretation. 6th ed. New York: John Wiley & Sons, 2008, xii, 756. ISBN 9780470052457. info
  • CAMPBELL, James B. a Randolph H. WYNNE. Introduction to remote sensing. Fifth edition. London: Guilford Press, 2011, xxxi, 667. ISBN 9781609181765. info
  • Computer processing of remotely sensed imagesan introduction. Edited by Paul M. Mather. 4th ed. Chichester, West Sussex, England: John Wiley & Sons, 2011, xx, 434 p. ISBN 9780470742396. info
  • Use of remote sensing in climate change adaptation: https://climate-adapt.eea.europa.eu/metadata/adaptation-options/use-of-remote-sensing-in-climate-change-adaptation
Výukové metody
Lectures explaining basic terms of remote sensing (RS) and presenting individual examples using RS data and methods in Global Change Monitoring. Practical training based on exercises that are solved using satellite imagery and image processing software. E-learning materials for self-paced studies.
Metody hodnocení
participation in lectures, own semester work on the use of remote sensing to monitor global change on a selected topic (about 8-10 page + oral presentation)
Informace učitele
Other web resources:
https://www.mdpi.com/journal/remotesensing/special_issues/rs_EO_GCD


https://climate-adapt.eea.europa.eu/metadata/adaptation-options/use-of-remote-sensing-in-climate-change-adaptation


NASA ARSET: Climate Change Monitoring & Impacts Using Remote Sensing and Modeled Data, Part 1/2 a 2/2:


https://www.youtube.com/watch?v=SnnIz2C5Ny4


https://www.youtube.com/watch?v=d6vC6_H_0iI

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