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.

Latest News

ZDF reports on our "sleeping" trees research
Jan. 3, 2020
New dean, new head of department
Jan. 2, 2020
H2020 Project - GATHERS was successfully kicked off at Wrocław University of Environmental and Life Sciences
Dec. 18, 2019
Lukas Winiwarter is nominated for the "TÜV Wissenschaftspreis"
Nov. 5, 2019
GEO Department at European Researchers' Night 2019
Oct. 4, 2019
First Retreat of the GEO Department
Sept. 19, 2019
Report on our project SEHAG in Süddeutsche Zeitung
Aug. 30, 2019

Latest Publications

M. Hollaus, M. Vreugdenhil:
Radar Satellite Imagery for Detecting Bark Beetle Outbreaks in Forests
Current Forestry Reports, 5 (2019), 4; 240 - 250.
J. Iglhaut, C. Cabo, S. Puliti, L. Piermattei, J. O´Connor, J. Rosette:
Structure from Motion Photogrammetry in Forestry: a Review
Current Forestry Reports, 5 (2019), 3; 155 - 168.
L. Winiwarter, G. Mandlburger, S. Schmohl, N. Pfeifer:
Classification of ALS Point Clouds Using End‑to‑End Deep Learning
PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 87 (2019), 3; 75 - 90. [ More information ]
E. Puttonen, M. Lehtomäki, P. Litkey, R. Näsi, Z. Feng, X. Liang, S. Wittke, M. Pandzic, T. Hakala, M. Karjalainen, N. Pfeifer:
A Clustering Framework for Monitoring Circadian Rhythm in Structural Dynamics in Plants From Terrestrial Laser Scanning Time Series
Frontiers in Plant Science, 10 (2019), 486; 1 - 14. [ More information ]
N. Pfeifer:
Lidar and Photo: differences and integrated processing
Österreichische Zeitschrift für Vermessung und Geoinformation (VGI), 107 (2019), 2; 136 - 146.