@CONFERENCE{MTMT:34799801,
	title = {Evaluating the efficacy of multitemporal TLS and UAS surveys for quantifying wind erosion magnitudes of sand dune topography},
	url = {https://m2.mtmt.hu/api/publication/34799801},
	author = {Bertalan, László and Négyesi, Gábor and Szabó, Gergely and Túri, Zoltán and Szabó, Szilárd},
	booktitle = {EGU General Assembly 2024 : abstracts},
	unique-id = {34799801},
	year = {2024},
	orcid-numbers = {Bertalan, László/0000-0002-5963-2710; Szabó, Szilárd/0000-0002-2670-7384}
}

@CONFERENCE{MTMT:34518246,
	title = {Akác klónkísérlet UAV-alapú állományvizsgálatának kezdeti eredményei},
	url = {https://m2.mtmt.hu/api/publication/34518246},
	author = {Ábri, Tamás and Keserű, Zsolt and Szabó, Gergely},
	booktitle = {Erdészeti Tudományos Konferencia Sopron, 2024. február 5-6. : Kivonatok Kötete},
	unique-id = {34518246},
	year = {2024},
	pages = {28},
	orcid-numbers = {Ábri, Tamás/0000-0002-0317-0975}
}

@inproceedings{MTMT:34023203,
	title = {Holtágak UAV-alapú felmérésének lehetőségei multispektrális kamera alkalmazásával},
	url = {https://m2.mtmt.hu/api/publication/34023203},
	author = {Szabó, Loránd and Bertalan, László and Szabó, Gergely and Szabó, Szilárd},
	booktitle = {Az elmélet és gyakorlat találkozása a térinformatikában XIV. : Theory meets practice in GIS},
	unique-id = {34023203},
	abstract = {This study discusses the importance of wetland habitats in maintaining hydrological cycles, providing ecological value, and serving as a natural habitat for endangered species. These habitats include oxbow lakes, which are formed by river bends and serve as unique habitats for various plant and animal species. The distribution of these species may depend on direct contact with the river and seasonal flooding events. Oxbow lakes are sensitive to environmental factors, including sedimentation and human activities, which can affect their lifespan and contribute to eutrophication. Remote sensing is a useful tool for studying these habitats, as they can be difficult to access for field surveys. However, existing satellite data may not have high enough spatial resolution for detailed mapping of smaller oxbow lakes, necessitating the use of aerial or unmanned aerial vehicle (UAV) surveys. UAVs offer a more cost-effective and efficient alternative to traditional aircraft surveys, with the potential to capture high-resolution data over smaller areas. We introduced a case study and conducted a UAV survey of the Rakamazi Nagy-morotva oxbow lake. Our goal was to identify the aquatic vegetation on genus-level in a study area using a multispectral UAV camera. Based on our research, we recommend using additional input datasets, such as digital surface models, spectral and texture indices, in addition to spectral bands for classification, as the appropriate combinations of these input variables can significantly improve classification accuracy.},
	year = {2023},
	pages = {269-273},
	orcid-numbers = {Szabó, Loránd/0000-0001-7105-715X; Bertalan, László/0000-0002-5963-2710; Szabó, Szilárd/0000-0002-2670-7384}
}

@article{MTMT:33657250,
	title = {Cost-benefit analysis of remote sensing data types for mapping mosquito breeding sites},
	url = {https://m2.mtmt.hu/api/publication/33657250},
	author = {Kenyeres, Zoltán and Bauer, Norbert and Bertalan, László and Szabó, Gergely and Márkus, András and Sáringer-Kenyeres, Tamás and Szabó, Szilárd},
	doi = {10.1007/s41324-023-00511-7},
	journal-iso = {SPAT INF RES},
	journal = {SPATIAL INFORMATION RESEARCH},
	volume = {31},
	unique-id = {33657250},
	issn = {2366-3286},
	abstract = {Environmentally friendly biological mosquito control by Bacillus thuringiensis var. israelensis formulations needs appropriate breeding maps. The mapping accuracy depends on the quality of the used remote sensing data. Further, the mapping is expected to be cost-efective. Our aim was to study the efect of the quality of various remote sensing data on the applicability of the maps. We depicted larval habitats by manual interpretation in Quantum GIS 3.16.1 software using remote sensing data of SENTINEL, Google Earth, commercial geoTIFF RGB orthophoto, individual unoccupied aerial systems (UAS) RGB, and multispectral mosaics. Based on our results, after classifcation of the target area by sorting, mixed-use of remote sensing data is required to achieve a highly cost-efcient mapping: RGB aerial photographs with 0.5 m per pixel resolution can be used efciently in areas dominated by grassland habitats, while forest areas need customised footage taken by UAS or drones during the foliage-free period (15 cm per pixel resolution, multispectral technique). Our cost-beneft analysis showed that the aim-optimised method could reduce investment to 6-8% and the cost of data collection to 20-50% of the highest budget. This result is signifcant for all participants of biological mosquito control.},
	year = {2023},
	eissn = {2366-3294},
	pages = {419-428},
	orcid-numbers = {Kenyeres, Zoltán/0000-0002-0941-7254; Bertalan, László/0000-0002-5963-2710; Szabó, Szilárd/0000-0002-2670-7384}
}

@inproceedings{MTMT:33572859,
	title = {Eltérő módon történő UAV-felvételezésből származó fotogrammetriai modellek összehasonlító pontosság-vizsgálata},
	url = {https://m2.mtmt.hu/api/publication/33572859},
	author = {Nagy, Loránd Attila and Szabó, Gergely and Bertalan, László},
	booktitle = {Az elmélet és gyakorlat találkozása a térinformatikában XIII.},
	unique-id = {33572859},
	abstract = {UAV-based data collection and modelling is becoming increasingly important nowadays. The accuracy of the method is influenced by several factors, but mainly the camera properties, including its tilt angle. The aim of this research was to analyse how different flight paths and camera angles affect the accuracy of the resulting digital surface models and orthophoto-mosaics in urban area mapping. The results show that the oblique mode does not increase the accuracy, but overall, the double grid flight path resulted higher horizontal and vertical accuracy.},
	year = {2022},
	pages = {233-238},
	orcid-numbers = {Bertalan, László/0000-0002-5963-2710}
}

@article{MTMT:33036558,
	title = {UAV-based multispectral and thermal cameras to predict soil water content – A machine learning approach},
	url = {https://m2.mtmt.hu/api/publication/33036558},
	author = {Bertalan, László and Holb, Imre and Pataki, Angelika and Négyesi, Gábor and Szabó, Gergely and Szalóki, Annamária and Szabó, Szilárd},
	doi = {10.1016/j.compag.2022.107262},
	journal-iso = {COMPUT ELECTRON AGR},
	journal = {COMPUTERS AND ELECTRONICS IN AGRICULTURE},
	volume = {200},
	unique-id = {33036558},
	issn = {0168-1699},
	year = {2022},
	eissn = {1872-7107},
	orcid-numbers = {Bertalan, László/0000-0002-5963-2710; Szabó, Szilárd/0000-0002-2670-7384}
}

@article{MTMT:32592899,
	title = {Environmental hazards of an unrecultivated liquid waste disposal site on soil and groundwater},
	url = {https://m2.mtmt.hu/api/publication/32592899},
	author = {Mester, Tamás and Szabó, György Emőd and Sajtos, Zsófi and Baranyai, Edina and Szabó, Gergely and Balla, Dániel},
	doi = {10.3390/w14020226},
	journal-iso = {WATER-SUI},
	journal = {WATER},
	volume = {14},
	unique-id = {32592899},
	year = {2022},
	eissn = {2073-4441},
	orcid-numbers = {Balla, Dániel/0000-0002-8051-1518}
}

@inproceedings{MTMT:32503654,
	title = {Eltérő külső tájékozással generált UAV-magasságmodellek pontosság-vizsgálata, különböző feldolgozó szoftverekben},
	url = {https://m2.mtmt.hu/api/publication/32503654},
	author = {Nagy, Loránd Attila and Szabó, Gergely and Pataki, Angelika and Bertalan, László},
	booktitle = {Az elmélet és a gyakorlat találkozása a térinformatikában XII.: Theory meets practice in GIS},
	unique-id = {32503654},
	year = {2021},
	pages = {237-242},
	orcid-numbers = {Bertalan, László/0000-0002-5963-2710}
}

@{MTMT:32366587,
	title = {UAV alapú felszínmodellek összehasonlító vizsgálata eltérő feldolgozási környezetekben},
	url = {https://m2.mtmt.hu/api/publication/32366587},
	author = {Nagy, Loránd Attila and Szabó, Gergely and Bertalan, László},
	booktitle = {X. Magyar Földrajzi Konferencia = 10th Hungarian Geographical Conference : absztraktkötet},
	unique-id = {32366587},
	year = {2021},
	pages = {185-185},
	orcid-numbers = {Bertalan, László/0000-0002-5963-2710}
}

@article{MTMT:31388871,
	title = {Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on Machine Learning and Segmentation},
	url = {https://m2.mtmt.hu/api/publication/31388871},
	author = {Schlosser, Aletta and Szabó, Gergely and Bertalan, László and Varga, Zsolt and Enyedi, Péter and Szabó, Szilárd},
	doi = {10.3390/rs12152397},
	journal-iso = {REMOTE SENS-BASEL},
	journal = {REMOTE SENSING},
	volume = {12},
	unique-id = {31388871},
	year = {2020},
	eissn = {2072-4292},
	orcid-numbers = {Bertalan, László/0000-0002-5963-2710; Varga, Zsolt/0000-0002-5923-1730; Szabó, Szilárd/0000-0002-2670-7384}
}