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Oldenburg, Carsten

Senior researcher, System administration

Research interests:
  • Computer programming
  • modelling
  • GIS
Study Areas:  Northrhine-Westfalia, Germany  
Background:
  • since 09/2017: research associate, KlimNet, RSRG
  • since 2015: system administration, ZFL
  • 07/2011-12/2014: research associate, ZFL, Rheinische Friedrich-Wilhelms Universität
  • 01/2011-03/2011: research associate, Humbold Innovation Berlin
  • 10/2006-12/2010: Master study GIS at Rheinische Friedrich-Wilhelms Universität
  • 10/1999-07/2005: Diploma study (FH) Vermessungswesen at Universität Duisburg-Essen
Current projects:  KlimNet
Closed projects:
  • BushAfrica
  • Spatially explicit models and scenarios of functional vegetation patterns (DFG, WASCAL)
  • mSave
  • EnMap
Teaching:
  • GIS Training (2017)
  • Introduction to IDL programming (09/2015)
  • GIS Training (2016)
  • Introduction to IDL programming (10/2015)
  • Project seminar: Open Data und Volunteered Geographical Information reif für die geographische Praxis? (2015)
Recent publications:

Peer-reviewed:

  • Basukala, A. K., Oldenburg, C., Schellberg, J., Sultanov, M., & Dubovyk, O. (2017): Towards improved land use mapping of irrigated croplands: performance assessment of different image classification algorithms and approaches. European Journal of Remote Sensing, 50(1), 187-201. doi: 10.1080/22797254.2017.1308235
  • Graw, V.; Oldenburg, C & O. Dubovyk (2016): Bush Encroachment Mapping for Africa: Multi-scale analysis with remote sensing and GIS. Discussion Paper Series. Center for Development Research. Bonn, Germany. Further Information: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2807811
  • Waske, B., S. van der Linden, C. Oldenburg, B. Jakimow, A. Rabe u. P. Hostert (2012): imageRF – A user-oriented implementation for remote sensing image analysis with Random Forests. In: Environmental Modelling & Software 35, S. 192-193.

Master thesis:

  • Oldenburg, C. (2011) (unpublished): Implementierung von Random Forests und Logistische Regression in IDL/ENVI, Rheinische Friedrich-Wilhelms Universität Bonn, Bonn, Master thesis.
 

 

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