Academic Supervision

Priv.-Doz. Mag. Dr. Martin Rutzinger
Institute of Geography



Magnus Bremer (PhD)

Andreas Mayr (PhD)

Thomas Zieher (PhD)

Prof. Dr. Bernhard Höfle

Anders Katharina (MSc)

Assoc. Prof. Roderik Lindenbergh

Assoc. Prof. Francesco Pirotti

Assoc. Prof. Marco Scaioni

Ass. Prof Sander Oude Elberink

Jun.-Prof. Dr.-Ing. Anette Eltner

Organisational Information


18.09.2022 - 24.09.2022


  • Theoretical lectures will be complemented by fieldwork assignments and hands-on data processing sessions using different novel software. The assignments will be divided into two different tracks, one focusing on mountain research, the other on sensor and data processing techniques.
    A variety of sensor systems will be available for data acquisition in the high mountain surroundings of the summer school venue, including terrestrial laser scanners, remotely piloted aircraft systems and spectral cameras.
  • A poster session on the participants' current research interests and work will stimulate open exchange and discussion between students and lecturers in a relaxed atmosphere.
    Thematic focus will be on mountain research including geomorphology, vegetation characterization and natural hazard research.
  • Technical focus will be on sensor and data aspects, such as sensor modelling, calibration, data acquisition, 2D and 3D data fusion, methods for information extraction from point clouds and (multispectral) images and data quality assessment.
  • Theoretical focus will address critical steps within a processing chain, such as impact of registration, choice of stand points during data acquisition and derivation of deformation vectors, change detection, time series analysis, issues related to multispectral image analysis, etc.
  • Practical exercises using predominantly open source software, deepen the conveyed knowledge and help all participants establish a workflow for their research.


University Centre Obergurgl
Gaisbergweg 5
6456 Obergurgl


Please register by e-mail ( until 31th January, 2022. Each applicant is requested to send (i) a short motivation letter, (ii) a one page CV and (iii) an abstract of the participants’ current work (see template here). This information will be used by the organizational committee to decide which candidates will be accepted for participation

General Information for Course Registration.

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