@misc{MTMT:34835309,
	title = {Az ültetési hálózat hatása agrárerdészeti köztes termesztési rendszerek hozamaira csernozjom barna erdőtalajon. Előadás. Erdészeti Tudományos Konferencia Sopron, 2024. február 5-6.},
	url = {https://m2.mtmt.hu/api/publication/34835309},
	author = {Honfy, Veronika and Borovics, Attila},
	unique-id = {34835309},
	year = {2024}
}

@{MTMT:34831710,
	title = {„Egykor és ma –az alapítástól napjainkig” – A vizuális tanszék hajdani és jelenlegi képzőművész tanárainak kiállítása},
	url = {https://m2.mtmt.hu/api/publication/34831710},
	author = {Kovács-Gombos, Gábor},
	unique-id = {34831710},
	year = {2024}
}

@{MTMT:34831685,
	title = {„In Bewegung” a VUdAK (Magyarországi Német Írók és Képzőművészek Szövetsége) képzőművész szekciójának kiállítása},
	url = {https://m2.mtmt.hu/api/publication/34831685},
	author = {Kovács-Gombos, Gábor},
	unique-id = {34831685},
	year = {2024}
}

@{MTMT:34831678,
	title = {„XII. Kortárs Keresztény Ikonográfiai Biennálé – Prófécia”},
	url = {https://m2.mtmt.hu/api/publication/34831678},
	author = {Kovács-Gombos, Gábor},
	unique-id = {34831678},
	year = {2024}
}

@{MTMT:34831665,
	title = {Győr, – „Zsendülés” – Az Art World Hungary Egyesület tavaszi tárlata (március 7 – május 12.);},
	url = {https://m2.mtmt.hu/api/publication/34831665},
	author = {Kovács-Gombos, Gábor},
	unique-id = {34831665},
	year = {2024}
}

@{MTMT:34831642,
	title = {„Hagyomány” – A Magyar Művészeti Akadémia akadémikus és köztestületi tagjainak kiállítása},
	url = {https://m2.mtmt.hu/api/publication/34831642},
	author = {Kovács-Gombos, Gábor},
	unique-id = {34831642},
	year = {2024}
}

@misc{MTMT:34825297,
	title = {Szemelvények a jelenkor soproni örökségvédelmi gyakorlatából},
	url = {https://m2.mtmt.hu/api/publication/34825297},
	author = {Tárkányi, Sándor},
	unique-id = {34825297},
	year = {2024}
}

@{MTMT:34825263,
	title = {Műemléki helyreállítások Sopronban 2017-2023},
	url = {https://m2.mtmt.hu/api/publication/34825263},
	author = {Tárkányi, Sándor},
	unique-id = {34825263},
	year = {2024}
}

@article{MTMT:34823685,
	title = {The importance of tree species identity and trait-based winter foraging ecology of bark-foraging bird species in a large Central European floodplain forest},
	url = {https://m2.mtmt.hu/api/publication/34823685},
	author = {Ónodi, Gábor and Botta-Dukát, Zoltán and Winkler, Dániel and Schulze, Christian H.},
	doi = {10.1007/s10531-024-02852-7},
	journal-iso = {BIODIVERS CONSERV},
	journal = {BIODIVERSITY AND CONSERVATION},
	volume = {online first},
	unique-id = {34823685},
	issn = {0960-3115},
	abstract = {Beyond preferences for particular species of tree, bark-foraging birds are associated with various tree characteristics such as decay stage, trunk diameter, or bark roughness. Our objectives were to study the winter foraging ecology of different bark-foraging bird species in the highly diverse floodplain forests of Donau-Auen National Park (Austria) by examining the importance of tree species and characteristics. We used 'first-foraging' observations on the great spotted woodpecker ( Dendrocopos major ), middle spotted woodpecker ( Leiopicus medius ), Eurasian nuthatch ( Sitta europaea ), treecreepers ( Certhia spp.), great tit ( Parus major ), Eurasian blue tit ( Cyanistes caeruleus ), and marsh tit ( Poecile palustris ). We examined bird-tree relationships with a bird-plant network approach, where we compared traits of trees and their preferences among avian species. The five most important tree species relative to distance-weighted fragmentation were European white elm ( Ulmus laevis ), pedunculate oak ( Quercus robur ), common ash ( Fraxinus excelsior ), and white and black poplar ( Populus alba, P. nigra ). Avian taxa differed only in the use of tree condition, where woodpeckers used decayed and dead trees more than tits. Most species preferred trees of larger trunk diameter with rougher bark. We suspect that changes in these highly diverse floodplain forest stands will eventually lead to changes in bark-foraging bird assemblages. For the protection of such highly diverse floodplain forests, conservation-based water management practices will be crucial to maintaining a sufficient groundwater table. Our findings also suggest that forest management practices should focus on more diverse commercial forest stands with a critical amount of secondary tree species, a variety of size classes, varying tree conditions, and species with different bark roughness classes.},
	year = {2024},
	eissn = {1572-9710},
	pages = {1-21},
	orcid-numbers = {Ónodi, Gábor/0000-0003-2119-4695; Botta-Dukát, Zoltán/0000-0002-9544-3474; Winkler, Dániel/0000-0002-6008-0562; Schulze, Christian H./0000-0002-2097-422X}
}

@article{MTMT:34822968,
	title = {Crop type classification and spatial mapping in River Nile and Northern State, Sudan, using Sentinel-2 satellite data and field observation},
	url = {https://m2.mtmt.hu/api/publication/34822968},
	author = {Yasin, Emad Hassan Elawad and Sharif, M.M. and Yahia, M.Y.A. and Othman, A.Y. and Ibrahim, A.O. and Kheiry, M.A. and Musa, M.},
	doi = {10.15243/jdmlm.2024.113.5997},
	journal-iso = {JOURNAL OF DEGRADED AND MINING LANDS MANAGEMENT},
	journal = {JOURNAL OF DEGRADED AND MINING LANDS MANAGEMENT},
	volume = {11},
	unique-id = {34822968},
	issn = {2339-076X},
	abstract = {Maintaining productive farmland necessitates precise crop mapping and identification. While satellite remote sensing makes it possible to generate such maps, there are still issues to resolve, such as how to choose input data and the best classifier algorithm, especially in areas with scarce field data. Accurate assessments of the land used for farming are a crucial part of national food supply and production accounting in many African countries, and to this end, remote sensing tools are being increasingly put to use. The aim of this study was to assess the potentiality of Sentinel-2 to distinguish and discriminate crop species in the study area and constraints on accurately mapping cropping patterns in the winter season in River Nile and Northern State, Sudan. The research utilized Sentinel-2 Normalized Different Vegetation Index (NDVI) at 10 m resolution, unsupervised and supervised classification method with ground sample and accuracy assessment. The results of the study found that the signatures of grain sorghum, wheat, okra, Vicia faba, alfalfa, corn, haricot, onion, potato, tomato, lupine, tree cover, and garlic have clear distinctions, permitting an overall accuracy of 87.38%, with trees cover, onion, wheat, potato, garlic, alfalfa, tomato, lupine and Vicia faba achieving more than 87% accuracy. Major mislabeling problems occurred primarily in irrigated areas for grain sorghum, okra, corn, and haricot, in wooded areas comprised of small parcels of land. The research found that high-resolution temporal images combined with ground data had potential and utility for mapping cropland at the field scale in the winter. © 2024 Brawijaya University. All rights reserved.},
	keywords = {remote sensing; NDVI; Sentinel-2; Spatial mapping; crop type classification; winter cropping patterns},
	year = {2024},
	eissn = {2502-2458},
	pages = {5997-6007}
}