Open Positions
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2 Geo4Women Summer Jobs
March 12, 2020
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
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2019's best paper in the ISPRS Journal of Photogrammetry and Remote Sensing was by Schwarz, Mandlburger, Pfennigbauer, Pfeifer
March 23, 2020 -
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
Latest Publications
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G. Mandlburger, M. Pfennigbauer, R. Schwarz, S. Flöry, L. Nussbaumer:
Concept and Performance Evaluation of a Novel UAV-Borne Topo-Bathymetric LiDAR Sensor
Remote Sensing, 12 (2020), 6; 986-1 - 986-28. -
G. Mandlburger:
Evaluation of Single Photon and waveform LiDAR
Archives of Photogrammetry, Cartography and Remote Sensing, 31 (2020), 13 - 20. -
A. Martinez‐Agirre, J. Álvarez-Mozos, M. Milenkovic, N. Pfeifer, R. Giménez, Valle, á. Rodríguez:
Evaluation of Terrestrial Laser Scanner and Structure from Motion photogrammetry techniques for quantifying soil surface roughness parameters over agricultural soils
Earth Surface Processes and Landforms, 45 (2020), 3; 605 - 621. -
V. Oniga, A. Breaban, N. Pfeifer, C. Chirila:
Determining the Suitable Number of Ground Control Points for UAS Images Georeferencing by Varying Number and Spatial Distribution
Remote Sensing, 12 (2020), 5; 876-1 - 876-26. [ More information ] -
M. Hollaus, M. Vreugdenhil:
Radar Satellite Imagery for Detecting Bark Beetle Outbreaks in Forests
Current Forestry Reports, 5 (2019), 4; 240 - 250.