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Innsbruck Summer School of Alpine Research 2019

16 - 22 June 2019

Organisation: University of Innsbruck

Course Overview: The main goal of the Joint Summer School 2019 is to provide participants with innovative practical and methodological skills to characterize complex terrain and object features using close- and near range remote sensing techniques. The Summer School will be the third edition after two successful implementations in 2015 and 2017.

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 track will focus 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, unmanned aerial vehicles 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.

 

Conference Format:

  • Thematic focus will be on mountain research, and will include vegetation characterization, (deformation) monitoring for glaciology, geomorphology 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, geometric 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, 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.

Registration deadline: 30 November 2018


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