Close Range Sensing in Alpine Terrain

About

The main goal of the Joint Summer School 2017 is to provide participants with innovative practical and methodological skills to characterise complex terrain and objects using close-, near range and remote sensing techniques. The Summer School will be the second edition after a successful first version in 2015. 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.

Practical exercises
using predominantly open source software, deepen the conveyed knowledge and help all participants establish a workflow for their research.

Venue
The Summer School will take place in and around Obergurgl, at almost 2000 m the highest village in Austria. The main venue is the Obergurgl University Center. Here lectures will take place and accommodation and food is provided to all participants. Directions will be available via the website.

Course leader

Martin Rutzinger (Institute of Interdisciplinary Mountain Research, Austrian Academy of Sciences) Bernhard Höfle (Institute of Geography, University of Heidelberg) Roderik Lindenbergh (Department of Geoscience and Remote Sensing, Delft Universit

Target group

This summer school is designed for any well-motivated PhD student, post-docs and young researchers from any field, provided they have interest in these type of techniques.

Course aim

Thematic focus will be on mountain research, and will include vegetation mapping, monitoring and deformation analysis 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 a registration method, choice of stand points during data acquisition and derivation of deformation vectors, issues related to multispectral image analysis etc.

Fee info