♦ J. Socha, P.Netzel, D.Cywicka 2019: Stem taper approximation by artificial neural network and a regression set models. Forests 2020, 11(1), 79; https://doi.org/10.3390/f11010079 link preprint


♦ J. Nowosad, T.F.Stepinski, P.Netzel, 2019: Global assessment and mapping of changes in mesoscale landscapes: 1992–2015. International Journal of Applied Earth Observation and Geoinformation, vol.78, pp. 332-340 link, preprint


♦ H. Netzel, P. Netzel, 2018: High resolution map of light pollution. J. of Quantitative Spectroscopy and Radiative Transfer, Vol. 221, pp 300-308. link, preprint

♦ P.Netzel, T.F.Stepinski, 2018: Climate Similarity Search - GeoWeb Tool for Exploring Climate Variability. Bull. Amer. Meteor. Soc., March 2018, doi:10.1175/BAMS-D-16-0334.1, pp. 475-477. link


♦ A.Dmowska, T.F.Stepinski, P. Netzel, 2017: Comprehensive framework for visualizing and analyzing spatio-temporal dynamics of racial diversity in the entire United States. PLoS ONE 12 (3): e0174993. https://doi.org/10.1371/journal.pone.0174993. link

♦ P. Netzel, T.F.Stepinski, 2017: World Climate Search and Classification Using a Dynamic Time Warping Similarity Function. Advances in Geocomputation, pp. 181-195. link, preprint


♦ H. Netzel, P. Netzel, 2016: High resolution map of light pollution over Poland. J. of Quantitative Spectroscopy and Radiative Transfer, Vol. 181, pp. 67-73. link, preprint, results web page

♦ P. Netzel, T.F. Stepinski, 2016: On using a clustering approach for global climate classification. Journal of Climate. Vol. 29, no 9, pp.3387–3401 preprint paper