Monitoring invasive plant species using hyperspectral remote sensing data L Papp, B Van Leeuwen, P Szilassi, Z Tobak, J Szatmári, M Árvai, ... Land 10 (1), 29, 2021 | 56 | 2021 |
Modeling of the urban heat island pattern based on the relationship between surface and air temperatures J Unger, TM Gál, J Rakonczai, L Mucsi, J Szatmari, Z Tobak, ... Időjárás/Quarterly Journal of the Hungarian Meteorological Service 114 (4 …, 2010 | 54 | 2010 |
Satellite based analysis of surface urban heat island intensity O Gémes, Z Tobak, B Van Leeuwen Journal of environmental geography 9 (1-2), 23-30, 2016 | 45 | 2016 |
Air temperature versus surface temperature in urban environment J Unger, TM Gál, J Rakonczai, L Mucsi, J Szatmári, Z Tobak, ... szte, 2009 | 36 | 2009 |
ILWIS 3.0 Academic: user's guide R Nijmeijer, A de Haas, RJJ Dost, PE Budde ITC, ILWIS, 2001 | 29 | 2001 |
Machine learning techniques for land use/land cover classification of medium resolution optical satellite imagery focusing on temporary inundated areas B Van Leeuwen, Z Tobak, F Kovács Journal of Environmental Geography 13 (1-2), 43-52, 2020 | 27 | 2020 |
Sentinel-1 and-2 based near real time inland excess water mapping for optimized water management B Van Leeuwen, Z Tobak, F Kovács Sustainability 12 (7), 2854, 2020 | 24 | 2020 |
Physically based hydrological modelling of inland excess water B Van Leeuwen, T Pravetz, ZA Liptay, Z Tobak Carpathian Journal of Earth and Environmental Sciences 11 (2), 497-510, 2016 | 23 | 2016 |
Identification of inland excess water floodings using an artificial neural network B Van Leeuwen, G MEZŐSI, Z Tobak, J Szatmari, K Barta Carpathian Journal of earth and environmental sciences 7 (4), 173-180, 2012 | 22 | 2012 |
Land cover change investigation in the southern Syrian coastal basins during the past 30-years using Landsat remote sensing data M Hammad, L Mucsi, B van Leeuwen Journal of environmental geography 11 (1-2), 45-51, 2018 | 21 | 2018 |
Processing of MSG-1 SEVIRI data in the thermal infrared-algorithm development with the use of the SPARC2004 data set ASM Gieske, JHM Hendrikse, V Retsios, B Van Leeuwen, BHP Maathuis, ... Proceedings of the ESA WPP-250: SPARC final workshop, 4-5 July, 2005 …, 2005 | 20 | 2005 |
Artificial neural networks and geographic information systems for inland excess water classification B Van Leeuwen PQDT-Global, 2012 | 18 | 2012 |
Evaluation of precipitation-vegetation interaction on a climate-sensitive landscape using vegetation indices Z Ladanyi, J Rakonczai, B van Leeuwen Journal of Applied Remote Sensing 5 (1), 053519-053519-12, 2011 | 14 | 2011 |
GIS workflow for continuous soil moisture estimation based on medium resolution satellite data B Van Leeuwen Association of Geographic Information Laboratories for Europe (AGILE), 2015 | 13 | 2015 |
Effect of climate change on the hydrological character of River Maros, Hungary-Romania G Sipos, V Blanka, G Mezősi, T Kiss, B van Leeuwen Journal of Environmental Geography 7 (1-2), 49-56, 2014 | 13 | 2014 |
Inland Excess Water–Belvíz–Suvišne Unutrašnje Vode J Szatmári, B Van Leeuwen Szeged, Újvidék, Szegedi Tudományegyetem, Újvidéki Egyetem 154, 2013 | 13 | 2013 |
Natura 2000 areas, road, railway, water, and ecological networks may provide pathways for biological invasion: A country scale analysis P Szilassi, A Soóky, Z Bátori, AA Hábenczyus, K Frei, C Tölgyesi, ... Plants 10 (12), 2670, 2021 | 12 | 2021 |
Development of an integrated ANN-GIS framework for inland excess water monitoring B Van Leeuwen, Z Tobak, J Szatmári Journal of environmental geography 1 (3-4), 1-6, 2008 | 12 | 2008 |
Drone-based identification and monitoring of two invasive alien plant species in open sand grasslands by six RGB vegetation indices L Bakacsy, Z Tobak, B Van Leeuwen, P Szilassi, C Biró, J Szatmári Drones 7 (3), 207, 2023 | 11 | 2023 |
Classification methods for inland excess water modeling B van Leeuwen, L Henits, M Mészáros, Z Tobak, J Szatmári, D Pavić, ... Journal of Environmental Geography 6 (1-2), 1-8, 2013 | 11 | 2013 |