Automatic military passability map generation system K Pokonieczny 2017 International Conference on Military Technologies (ICMT), 285-292, 2017 | 37 | 2017 |
Analysis of OpenStreetMap data quality for selected counties in Poland in terms of sustainable development S Borkowska, K Pokonieczny Sustainability 14 (7), 3728, 2022 | 31 | 2022 |
Methodology of using terrain passability maps for planning the movement of troops and navigation of unmanned ground vehicles W Dawid, K Pokonieczny Sensors 21 (14), 4682, 2021 | 27 | 2021 |
The influence of the shape and size of the cell on developing military passability maps K Pokonieczny, A Mościcka ISPRS International Journal of Geo-Information 7 (7), 261, 2018 | 27 | 2018 |
Method of developing the maps of passability for unmanned ground vehicles K Pokonieczny, M Rybansky IOP Conference Series: Earth and Environmental Science 169 (1), 012027, 2018 | 27 | 2018 |
Land cover changes and flows in the Polish Baltic coastal zone: A qualitative and quantitative approach E Bielecka, A Jenerowicz, K Pokonieczny, S Borkowska Remote Sensing 12 (13), 2088, 2020 | 24 | 2020 |
Analysis of the possibilities of using different resolution digital elevation models in the study of microrelief on the example of terrain passability W Dawid, K Pokonieczny Remote Sensing 12 (24), 4146, 2020 | 20 | 2020 |
Transport accessibility of Warsaw: A case study A Mościcka, K Pokonieczny, A Wilbik, J Wabiński Sustainability 11 (19), 5536, 2019 | 19 | 2019 |
Optimal strategy of a GPS position time series analysis for post-glacial rebound investigation in Europe J Bogusz, A Klos, K Pokonieczny Remote Sensing 11 (10), 1209, 2019 | 18 | 2019 |
Study on spatial distribution of horizontal geodetic control points in rural areas E Bielecka, K Pokonieczny, P Kamiński Acta Geodaetica et Geophysica 49, 357-368, 2014 | 17 | 2014 |
Methods of using self-organising maps for terrain classification, using an example of developing a military passability map K Pokonieczny Dynamics in GIscience 4, 359-371, 2018 | 16 | 2018 |
Using artificial neural network for labelling polygon features in topographic maps K Pokonieczny, S Borkowska GeoScape 13 (2), 125-131, 2019 | 15 | 2019 |
Use of a multilayer perceptron to automate terrain assessment for the needs of the armed forces K Pokonieczny ISPRS International Journal of Geo-Information 7 (11), 430, 2018 | 15 | 2018 |
Comparison of land passability maps created with use of different spatial data bases KJ Pokonieczny Geografie-Prague 123 (3), 2018 | 12 | 2018 |
GIScience theory based assessment of spatial disparity of geodetic control points location E Bielecka, K Pokonieczny, S Borkowska ISPRS International Journal of Geo-Information 9 (3), 148, 2020 | 11 | 2020 |
Using artificial neural networks to determine the location of wind farms. Miedzna district case study. K Pokonieczny Journal of Water & Land Development 30 (1), 2016 | 11 | 2016 |
Selection of Optimal Measurement Point Density in Travel Time Mapping: Warsaw Airport Case Study A Moscicka, K Pokonieczny, J Tomala 2016 Baltic Geodetic Congress (BGC Geomatics), 211-216, 2016 | 10 | 2016 |
Analysis of spatial distribution of geodetic control points and land cover K Pokonieczny, E Bielecka, P Kaminski 14th International Multidisciplinary Scientific Geoconference (SGEM …, 2014 | 10 | 2014 |
The methodology of determining optimum access routes to remote areas for the purposes of crisis management W Dawid, K Pokonieczny, M Wyszyński International Journal of Digital Earth 15 (1), 1905-1928, 2022 | 9 | 2022 |
The assessment of covid-19 vulnerability risk for crisis management M Wyszyński, M Grudziński, K Pokonieczny, M Kaszubowski Applied Sciences 12 (8), 4090, 2022 | 9 | 2022 |