Geospatial Data Collection Methods
Kód | Zakončení | Kredity | Rozsah | Jazyk výuky |
---|---|---|---|---|
D55FGR_EN | ZK | 2P | anglicky |
- Garant předmětu:
- Karel Pavelka
- Přednášející:
- Karel Pavelka
- Cvičící:
- Předmět zajišťuje:
- Katedra geomatiky
- Anotace:
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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).
- Požadavky:
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basic knowledge of geography and geodesy
- Osnova přednášek:
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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.
- Osnova cvičení:
-
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.
- Cíle studia:
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presentation skills in geomatics and geography
- Studijní materiály:
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asic 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
- Poznámka:
- Další informace:
- https://lfgm.fsv.cvut.cz/vyuka.html
- Rozvrh na zimní semestr 2024/2025:
- Rozvrh není připraven
- Rozvrh na letní semestr 2024/2025:
- Rozvrh není připraven
- Předmět je součástí následujících studijních plánů: