Publications

Published

2022

• • Ajdacka I., Karsznia I., 2022. Verifying and improving map specifications of river network selection for automatic generalization of small-scale maps. Polish Cartographical Review, 54(1), pp. 77–93, DOI: 10.2478/pcr-2022-0006 (70 MEiN points).
  • Berger K., Machwitz M., Kycko M., Kefauver S.C., Van Wittenberghe S., Gerhards M., Verrelst J., Atzberger C, van der Tol C., Damm A., Rascher U., Herrmann I., Sobejano Paz V., Fahrner S., Pieruschka R., Prikaziuk E., Buchaillot M.L., Halabuk A., Celesti M., Koren G., Tunc Gormus E., Rossini M., Foerster M., Siegmann B., Abdelbaki A., Tagliabue G., Hank T., Darvishzadeh R., Aasen H., Garcia M., Pôças I., Bandopadhyay S., Sulis M., Tomelleri E., Rozenstein O., Filchev L., Stancile G., Schlerf M., 2022. Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review, Remote Sensing of Environment, 280, 2022, 113198, DOI:10.1016/j.rse.2022.113198. (IF 13.85, 200 MEiN points).
  • Deslatte A., Szmigiel-Rawska K., Tavares A., Ślawska J., Karsznia I., Lukomska J. 2022. Land Use Institutions and Social-Ecological Systems: A Spatial Analysis of Local Landscape Changes in Poland. Land Use Policy.Volume 114, March 2022, 105937, DOI:10.1016/j.landusepol.2021.105937 (IF 5.398, 140 MEiN points).
  • Golebiowska, I., Coltekin, A., 2022. Rainbow Dash: Intuitiveness, interpretability and memorability of the rainbow color scheme in visualization. IEEE Transactions on Visualization and Computer Graphics, 28(7), 2722-2733, DOI: 10.1109/TVCG.2020.3035823 (IF: 4.558, 140 points MEiN)
  • Golebiowska, I., Coltekin, A., 2022. What’s wrong with the rainbow? An interdisciplinary review of empirical evidence for and against the rainbow color scheme in visualizations. ISPRS Journal of Photogrammetry and Remote Sensing. 194(12): 195-208. DOI: 10.1016/j.isprsjprs.2022.10.002 (IF 11.774, 200 points MEiN).
  • Jarocińska A., Kopeć D., Kycko M., Piórkowski H., Błońska A. 2022. Hyperspectral vs. Multispectral data: Comparison of the spectral differentiation capabilities of Natura 2000 non-forest habitats. ISPRS Journal of Photogrammetry and Remote Sensing 184(6):148-164. DOI: 10.1016/j.isprsjprs.2021.12.010 (IF 8.979, 200 MEiN points).
  • Karsznia I., Weibel R., Leyk S., 2022. May AI Help You? Automatic Settlement Selection for Small-Scale Maps Using Selected Machine Learning Models. Abstracts of AutoCarto 24th International Research Symposium on Cartography and GIScience Cartography and Geographic Information Society, Redlands, California, USA.
  • Karsznia I., Wereszczyńska K., Weibel R., 2022. Make It Simple: Effective Road Selection for Small-Scale Map Design Using Decision-Tree-Based Models. ISPRS Int. J. Geo-Inf. 11(8), 457. DOI: 10.3390/ijgi11080457 (IF 3.099, 70 points MNiSW).
  • Kluczek M., Zagajewski B., Kycko M. 2022. Airborne HySpex Hyperspectral Versus Multitemporal Sentinel-2 Images for Mountain Plant Communities Mapping. Remote Sensing 14(5):1209. DOI:10.3390/rs14051209 (IF 5.349, 100 MEiN points).
  • Kycko M., Zagajewski B., Kluczek M., Tardà A., Pineda L., Palà V., Corbera J. 2022. Sentinel-2 and AISA Airborne Hyperspectral Images for Mediterranean Shrubland Mapping in Catalonia. Remote Sensing, 14(21), 5531. DOI:10.3390/rs14215531 (IF 5.349, 100 MEiN points).
  • Piątek R., Gołębiowska I., 2022, Do navigation maps need a legend? Empirical assessment of the intuitiveness of point symbols on mobile maps. Polish Cartographical Review, 54, DOI: 10.2478/pcr-2022-0003 (70 points MEiN).
  • Raczko, E.; Krówczyńska M, Wilk E., 2022. Asbestos  roofing recognition by use of convolutional neural networks and high resolution imagery. Testing different scenarios. Building and Environment, 217. DOI: 10.1016/j.buildenv.2022.109092 (IF 6.456, 200 MEiN points).
  • Sabat-Tomala A.; Raczko E.; Zagajewski B. Mapping Invasive Plant Species with Hyperspectral Data Based on Iterative Accuracy Assessment Techniques. Remote Sensing, 14(01), 64. DOI: 10.3390/rs14010064 (IF 5.349, 100 MEiN points).
  • Zakrzewska, A., Kopeć, D., Ochtyra, A., Potůčková, M., 2022, Can Canopy Temperature Acquired From An Airborne Level be a Tree Health Indicator in an Urban Environment?. Urban Forestry & Urban Greening, 127807 (IF 4.537, 100 MEiN points).