Jacek Niesterowicz

Dr. Jacek Niesterowicz works in the Faculty of Mathematics and Natural Science at the Jan Kochanowski University in Kielce, Poland. He received his M.Sci. degree from the Adam Mickiewicz University in PoznaƄ, Poland in 2011. His masters thesis was entitled "Identfication of actual depressions in digital elevation models of old - and young - glacial areas" and focused on distinguishing between actual and artificial depressions in digital elevation models. He was a PhD student in the Department of Geography at the University of Cincinnati and worked at the Space Informatics Lab on developing methods and software for the analysis of spatial patterns in large categorical rasters. These methods may be applied to regional, continental, and global scale land cover and topographic datasets. His current areas of interest include pattern-based analysis of raster maps, and the application of machine learning techniques to geographical research. In his work, Jacek operates mainly in open source environments such as Linux, GRASS GIS (including C programming), and R.

  • e-mail: niestejk (at) mail.uc.edu


Journal papers

  • J. Niesterowicz and T.F. Stepinski (2016) On using landscape metrics for landscape similarity search. Ecological Indicators, Vol. 64, pp. 20-30. paper, preprint
  • J. Niesterowicz, T.F. Stepinski, J. Jasiewicz (2016) Unsupervised regionalization of the United States into landscape pattern types. International Journal of Geographical Information Science, DOI: 10.1080/13658816.2015.1134796 paper, preprint
  • J. Niesterowicz and T. F. Stepinski (2013) Regionalization of multi-categorical landscapes using machine vision methods. Applied Geography 45, pp250-258.


Conference papers

  • T.F. Stepinski, J. Niesterowicz, J. Jasiewicz. (2015) Pattern-based Regionalization of Large Geospatial Datasets Using Complex Object-based Image Analysis. Procedia Computer Science 51, 2168-2177.
  • J. Niesterowicz, T. F. Stepinski, J. Jasiewicz (2015) Regionalization of the conterminous U.S. into hierarchical landscape pattern types. GeoComputation 2015 Conference, Dallas, Texas, May 20-23 2015. paper Best Paper Award.
  • J. Niesterowicz, T.F. Stepinski (2014) Finding the best image segmentation method for regionalization of multi-categorical landscapes. Annual Meeting of the Association of American Geographers, Tampa, Florida, April 9-13 2014. abstract
  • T.F. Stepinski, P. Netzel, J. Jasiewicz, J. Niesterowicz (2012) LandEx - A GeoWeb-based Tool for Exploration of Patterns in Raster Maps, GIScience 2012 Conference, Sept. 2012. paper, preprint


Published on  August 24th, 2020