Course detail

Remote sensing

FAST-HE52Acad. year: 2023/2024

Methods of remote sensing (principles and position in science system). Electro magnetic radiation and it’s types, natural and artificial source of radiation. Radio metric quantities and their measuring. Radiant properties of land objects, regime and methods of finding out. Atmosphere position in remote sensing (electromagnetic radiation reach through atmosphere, carrying function of atmosphere). Methodology of collecting ground and aerospace data. Analogy and digital interpretation of remote sensing picture data, classification of picture data. Remote sensing application in geodesy, hydrology, environment protection and it’s connections with geographical information system.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

prof. Ing. Viliam Vatrt, DrSc.

Department

Institute of Geodesy (GED)

Entry knowledge

Fundamental knowledge of atmospheric optics and space mechanics

Rules for evaluation and completion of the course

Verification of knowledge and skills takes place in exercises. Students are motivated to continuous study even during the lessons. The teacher repeatedly emphasizes essential profile information. The exam is carried out in the form of a test as well as in writing. Evaluation is carried out according to valid principles with a set scale of evaluation.


Extent and forms are specified by guarantor’s regulation updated for every academic year.

Aims

Understanding of physical fundamentals of methods using contctless detection of surface object charecteristics. Image data of remote sensing for solutions of thematic and topographic survey tasks, landscape development monitoring.
Student will manage theoretical basics of methods of remote sensing of the ground objects. They will be introduced with present technical resources of visual data collection and with methods of their interpretation for landscape monitoring and its components and for creation of cartographic works, divided by different purpose.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

JENSEN, John R.: Introductory Digital Image Processing: A Remote Sensing Perspective. New Jersey: Prentice Hall, New Jersey, 2005. ISBN 0-13-145361-0. (EN)
RICHARDS, John A., XIUPING, Jia: Remote sensing digital image analysis. Springer, Berlín, 2006. ISBN 978-3-5402-5128-6. (EN)
LILLESAND, Thomas M., KIEFER, Ralph W., CHIPMAN, Jonathan W.: Remote Sensing and Image Interpretation. New York: John Willey and Sons, 2008. ISBN 978-0-470-05245-7. (EN)
CHANDRA P. Giri (ed.): Remote Sensing of Land Use and Land Cover: Principles and Applications. CRC Press, 2012. ISBN 978-1-4200-7074-3.  (EN)

Recommended reading

DOBROVOLNÝ, Petr: Dálkový průzkum Země. Digitální zpracování obrazu. Brno: MU, 1998. ISBN 80-210-1812-7.  (CS)
HALOUNOVÁ, Lenka, PAVELKA, Karel: Dálkový průzkum Země. Praha: ČVUT, 2005. ISBN 80-01-03124-1. (CS)
PLÁNKA, L.: Dálkový průzkum země - Teoretické základy. elektronický text (HE05), 2007. [https://intranet.fce.vutbr.cz/pedagog/predmety/opory.asp] (CS)
PLÁNKA, L.: Dálkový průzkum země - Přístrojová technika. elektronický text (HE05), 2007. [https://intranet.fce.vutbr.cz/pedagog/predmety/opory.asp] (CS)

PLÁNKA, L.: Dálkový průzkum země - Zpracování dat. elektronický text (HE05), 2007. [https://intranet.fce.vutbr.cz/pedagog/predmety/opory.asp] (CS)

(CS)

Classification of course in study plans

  • Programme N-P-C-GK Master's

    branch GD , 2. year of study, winter semester, compulsory-optional

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

prof. Ing. Viliam Vatrt, DrSc.

Syllabus

1. Definition of remote sensing, its importance for study aboutthe Earth, methods of remotesensing. 2. Physical fundamentals of remote sensing. 3. Spectral characteristics of landscape objects. 4. Influence of atmosphere on remote sensing. 5. Basic types of sensors. 6. Historical and actual carriersof sensors. 7. Analoque processing. 8. Rectification digital image data, improvment of images. 9. Methods of image data classification. 10. Main field utilization of remote sensing.

Exercise

13 hours, compulsory

Teacher / Lecturer

prof. Ing. Viliam Vatrt, DrSc.

Syllabus

1-2 Project preparation Imaging Experiment. 3-4 Spectrometry. 5-6 Visual interpretation of aerospace images. 7-8 Temporal interpretation of aerospace images. 9-10 The use of remote sensing. 11-12 Foreign and international organization of remote sensing. 13 Remote sensing in the Czech Republic.