548-0004/09 – Remote Sensing (DPZ)

Gurantor departmentDepartment of GeoinformaticsCredits5
Subject guarantordoc. Ing. Jiří Horák, Dr.Subject version guarantordoc. Ing. Jiří Horák, Dr.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semestersummer
Study languageEnglish
Year of introduction2016/2017Year of cancellation
Intended for the facultiesHGF, FBIIntended for study typesFollow-up Master, Bachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
HOR10 doc. Ing. Jiří Horák, Dr.
JUR02 Ing. Lucie Orlíková, Ph.D.
PEN63 Ing. Tomáš Peňáz, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 28+28

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:

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, 2008. 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.

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

Combined form of testing - written test and oral examination

E-learning

Další požadavky na studenta

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 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

Conditions for subject completion

Full-time form (validity from: 2016/2017 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 33  17
        Examination Examination 67 (67) 18
                Písemná část zkoušky Written examination 50  18
                Ústní část zkoušky Oral examination 17  0
Mandatory attendence parzicipation: According to the teacher’s specification.

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (N2110) Geological Engineering (2101T003) Geological Engineering P English Ostrava 1 Choice-compulsory study plan
2019/2020 (N2110) Geological Engineering (2101T003) Geological Engineering P English Ostrava 1 Choice-compulsory study plan
2019/2020 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P English Ostrava 2 Compulsory study plan
2018/2019 (N2110) Geological Engineering (2101T003) Geological Engineering P English Ostrava 1 Choice-compulsory study plan
2018/2019 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P English Ostrava 2 Compulsory study plan
2017/2018 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P English Ostrava 2 Compulsory study plan
2017/2018 (N2110) Geological Engineering (2101T003) Geological Engineering P English Ostrava 1 Choice-compulsory study plan
2016/2017 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P English Ostrava 2 Compulsory study plan
2016/2017 (N2110) Geological Engineering (2101T003) Geological Engineering P English Ostrava 1 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner
ECTS - FMG 2020/2021 Full-time English Optional 501 - Study Office stu. block
ECTS - FMG 2019/2020 Full-time English Optional 501 - Study Office stu. block
ECTS - FMG 2018/2019 Full-time English Optional 501 - Study Office stu. block
ECTS - FMG 2017/2018 Full-time English Optional 501 - Study Office stu. block