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Jason Goetz

Research assistant
M.Sc.
Jason Goetz


Anschrift

Institut für Geographie
Department of GISsience Group
Room 133
Grietgasse 6
07743 Jena

Phone: +49 3641-9-48861
Fax: +49 3641-9-48852
office hours:
nach Vereinbarung

Jason Goetz

Research and teaching assistant

Mapping alpine snow elevation with micro UAVs

For my PhD research, I'm interested in how we can improve mapping of snow distribution in alpine catchments by combining data acquisition from micro Unmanned Aerial Vehicles (UAVs) with multi view stereo 3D reconstruction. Currently, I am investigating the spatial uncertainties of snow elevation models from repeat micro UAV surveys in complex terrain (e.g. over rock glaciers) using statistical models. This research is funded through a scholarship awarded by the National Sciences and Engineering Council of Canada (NSERC), Oct 2015 - Sept 2018.

Teaching

  • GEO 408 (Lab section) - Environmental Statistics and GeoComputation

Key research areas

  • Close-range remote sensing of snow depth with micro UAVs
  • Exploring techniques for improving spatial prediction of Earth surface processes
  • Developing custom GIS tools for quantifying landform features

Recent Research activities

Friedrich Schiller University Jena, Department of Geography, Germany
Oct 2015 - today

PhD candidate; Mapping alpine snow elevation with micro UAVs and analyzing the spatial uncertainties in complex terrain of a rock glacier in Col de Laurichard, France.
Friedrich Schiller University Jena, Department of Geography, Germany
Oct 2014 - Sept 2015
Evaluating statistical and machine learning techniques for spatial prediction of landslide susceptibility in Lower Austria, Austria.
University of Waterloo, Department of Geography and Environmental Management, Canada
May 2014 - Sept 2014 & MSc Research
Analyzing the landslide initiation triggering effects of forestry activities with generalized additive models for all of Vancouver Island, British Columbia, Canada.
Austrian Institute of Technology, Department of Health and Environment, Austria
Sept 2012 - Apr 2014
Mapping landslides across Austria from LiDAR digital elevation models (DEMs) and modelling regional landslide susceptibility with weights of evidence.
University of Vienna, Department of Geography and Environmental Research, Austria
Feb 2013 - Aug 2013, Oct 2011 - Nov 2011
Developing custom GIS tools in R for automated statistical analysis of landslide morphology characteristics from high-resolution DEMs. Assisting the application of statistical evaluation methods for landslide susceptibility models.

Education

  • Master of Science (Geomatics), Department of Geography and Environmental Management, University of Waterloo, Canada, Jan 2010 - Apr 2012
  • Bachelor of Environmental Studies (Physical Geography), Department of Geography and Environmental Management, University of Waterloo, Canada, Sept 2005 - Dec 2009

Selected peer-reviewed publications

  • Goetz, J., Brenning, A., Marcer, M., and X. Bodin (2018). Modeling the precision of structure-from-motion multi-view stereo digital elevation models from repeated close-range aerial surveys. Remote Sensing of Environment, 210, 208-216.
  • Shen, YJ., Shen Y., Goetz, J. and A. Brenning. (2016). Spatial‐temporal variation of near‐surface temperature lapse rates over the Tianshan Mountains, central Asia. Journal of Geophysical Research: Atmospheres, 121(23), 14006-14017.
  • Goetz, J.N., Brenning, A., Petschko, H., and P. Leopold (2015). Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling. Computers & Geosciences, 81, 1-11.
  • Goetz, J., Guthrie, R.H., and A. Brenning (2015). Forest harvesting is associated with increased landslide activity during an extreme rainstorm on Vancouver Island, Canada. Nat. Hazards Earth Syst. Sci., 15, 1311-1330.
  • Goetz, J., Bell, R. and A. Brenning (2014). Could surface roughness be a poor proxy for landslide age? Results from the Swabian Alb, Germany. Earth Surface Processes and Landforms, 39, 1697-1704.
  • Petschko, H., Brenning, A., Bell, R., Goetz, J. and T. Glade (2014). Assessing the quality of landslide susceptibility maps - case study Lower Austria, Nat. Hazards Earth Syst. Sci., 14, 95-118.
  • Goetz J.N., Guthrie, R.H. and A. Brenning (2011). Integrating physical and empirical landslide susceptibility models using generalized additive models. Geomorphology 129(3-4), 376-386.

 

M.Sc. Jason Goetz
Research and teaching assistant

Visiting address

Lehrstuhl für Geoinformatik
Room 133
Grietgasse 6
07743 Jena

Postal address

Institut für Geographie
Lehrstuhl für Geoinformatik
Löbdergraben 32
07737 Jena

Phone:  +49-3641-9-48861
Fax.: +49-3641-9-48852
jason.goetz[at]uni-jena.de
Office hours
by appointment