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.
Share this page
Friedrich Schiller University on social media:
Studying amid excellence:
  • Logo of the "Total E-Quality" initiative
  • Logo of the best practice club "Family in Higher Education Institutions"
  • Logo of the "Partner University of High Performance Sports" project
  • Logo of quality of German Accreditation Council - system accredited
Top of the page