Welcome to the Photogrammetry Group
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.
DI Lukas Winiwarter wins Karl Kraus Preis
Feb. 26, 2019
Best Paper Honourable Mention at ISPRS symposium
Oct. 30, 2018
Best Paper Award 2017 for Forkel, Vreugdenhil and Wieser
Oct. 30, 2018
Sept. 21, 2018
Review: GEO-Tag 2018
June 20, 2018
Best Presentation Award for Lukas Winiwarter
June 11, 2018
Congratulations, Dr. Milenkovic!
Feb. 27, 2018
L. Piermattei, M. Marty, W. Karel, C. Ressl, M. Hollaus, C. Ginzler, N. Pfeifer:
Impact of the Acquisition Geometry of Very High-Resolution Pléiades Imagery on the Accuracy of Canopy Height Models over Forested Alpine Regions
Remote Sensing, 10 (2018), 10; 1542-1 - 1542-22. [ More information ]
C. Ressl, N. Pfeifer:
Evaluation of the elevation model influence on the orthorectification of Sentinel-2 satellite images over Austria
European Journal of Remote Sensing, 51 (2018), 1; 693 - 709. [ More information ]
M. Milenkovic, C. Ressl, W. Karel, G. Mandlburger, N. Pfeifer:
Roughness Spectra Derived from Multi-Scale LiDAR Point Clouds of a Gravel Surface: A Comparison and Sensitivity Analysis
ISPRS International Journal of Geo-Information, 7 (2018), 2; 69-1 - 69-22. [ More information ]
T. Tran, C. Ressl, N. Pfeifer:
Integrated Change Detection and Classification in Urban Areas Based on Airborne Laser Scanning Point Clouds
Sensors, 18 (2018), 2; 448-1 - 448-21. [ More information ]
R. Silasari, J. Parajka, C. Ressl, P. Strauss, G. Blöschl:
Potential of time-lapse photography for identifying saturation area dynamics on agricultural hillslopes.
Hydrological Processes, 31 (2017), 3610 - 3627.