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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024

Geospatial Data Collection Methods

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Code Completion Credits Range Language
D55FGR_EN ZK 2P English
Garant předmětu:
Karel Pavelka
Lecturer:
Karel Pavelka
Tutor:
Supervisor:
Department of Geomatics
Synopsis:

Course contains basic information’s on methods of collection, sorting and evaluation of geomatic-geographic data, methodology of study creation and modeling in geomatics with a focus on regional applications concerning the world and the Czech Republic. The innovative environment is focused mainly on methods of collecting and gaining geospatial data (photogrammetry, remote sensing, RPAS, basic geographic data base. and today's new data sources, services and geographic information such as Google Earth, data repository, free map sources, global satellite data, data collection from free satellite systems).

Requirements:

basic knowledge of geography and geodesy

Syllabus of lectures:

The course is organized as a semester-long project with consultations, during which research possibilities are discussed with the goals of the student's doctoral dissertation.

Syllabus of tutorials:

The course is organized as a semester-long project with consultations, during which research possibilities are discussed with the goals of the student's doctoral dissertation.

Study Objective:

presentation skills in geomatics and geography

Study materials:

basic literature

[1] Kraus, K.. 2011.Photogrammetry - Geometry from Images and Laser Scans. ISBN 978-3-11-089287-1, p.459

[2] Lillesand, T,. Kiefer, R.W, Chipman, J.. 2015 Remote Sensing and Image Interpretation, 7th edition. ISBN: 978-1-118 34328-9, p. 736

[3] James S. Aber, Irene Marzolff and Johannes B. Ries. 2010. Small-Format Aerial Photography - Principles, Techniques and Geoscience Applications. ISBN 978-0-444-53260-2, p.268.

[4] Clifford, N., French, S., & Valentine, G. (Eds.) (2010). Key methods in Geography. (2nd ed.) Sage. ISBN 9781412935081. p.568

[5] Weilberg, M. 2016. Photogrammetry and Remote Sensing. Syrawood Publishing House, 2016, ISBN1682861074

[6] Michael T. Eismann. 2012. Hyperspectral Remote Sensing. SPIE, ISBN 0819487872, 9780819487872, 725 pages

Note:
Further information:
https://lfgm.fsv.cvut.cz/vyuka.html
Time-table for winter semester 2023/2024:
Time-table is not available yet
Time-table for summer semester 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-07-15
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet6221606.html