Welcome to the Photogrammetry Unit
Photogrammetry is the art, science, and technology of obtaining geometric information on the 3-dimensional shape and orientation of objects from photographs and other imaging sensors. Geophysical quantities and textural information may be extracted additionally. We focus on digital photographs, range images, and point clouds in general. These are acquired from terrestrial, airborne and spaceborne platforms, using photogrammetric and amateur cameras as well as laser scanners. By investigating the measurement process, appropriate geometric and radiometric calibration methods are developed and, consequently, insight into the properties and the quality of geodata is obtained. Subsequently, models of our three dimensional environment are reconstructed automatically. This approach is seen as fundamental prerequisite for successful application of Earth Observation in topography, hydrology, forestry and related sciences which are studied together with experts in those fields.
Latest News
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GEO war bei der langen Nacht der Forschung
May 24, 2022 -
Best paper award for our photogrammetric graffiti project INDIGO
March 21, 2022 -
Venia Docendi für Gottfried Mandlburger
Feb. 4, 2022 -
Nachruf Prof. Dr. techn. h.c. Fritz Ackermann
Dec. 22, 2021 -
Jetzt zum Geotag anmelden!
March 19, 2021 -
Wolfgang Wagners BeSt-digital-Vortrag zum Nachschauen: Klima und Geoinformation
March 8, 2021 -
New Dean of Academic Affairs: Hans Neuner
Jan. 8, 2021
Latest Publications
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G. Mandlburger:
Gewässervermessung mit UAV
BDVI Forum, 48 (2022), 2; 6 - 14. -
M. Lechner, A. Dostálová, M. Hollaus, C. Atzberger, M. Immitzer:
Combination of Sentinel-1 and Sentinel-2 Data for Tree Species Classification in a Central European Biosphere Reserve
Remote Sensing, 14 (2022), 11; 2687-1 - 2687-16. [ More information ] -
A. Loghin, J. Otepka-Schremmer, C. Ressl, N. Pfeifer:
Improvement of VHR Satellite Image Geometry with High Resolution Elevation Models
Remote Sensing, 14 (2022), 10; 2303-1 - 2303-23. [ More information ] -
G. Mandlburger, M. Pfennigbauer, D. Monetti:
Underwater Deadwood and Vegetation from UAV-borne Topobathymetric Lidar
Hydro International, 26 (2022), 2; 24 - 26. -
G. Mandlburger, M. Pfennigbauer, D. Monetti:
Underwater Deadwood and Vegetation from UAV-borne Topobathymetric Lidar
GIM International, 36 (2022), 3; 25 - 27.