@article{MTMT:33777210,
	title = {Characterization and mapping of MIS‐2 thermal contraction crack polygons in Western Transdanubia, Hungary},
	url = {https://m2.mtmt.hu/api/publication/33777210},
	author = {Farkas, Beáta and Sipos, György and Bartyik, Tamás and Józsa, Edina and Czigány, Szabolcs and Balogh, Richárd and Varga, Gábor and Kovács, János and Fábián, Szabolcs Ákos},
	doi = {10.1002/ppp.2190},
	journal-iso = {PERMAFROST PERIGLAC},
	journal = {PERMAFROST AND PERIGLACIAL PROCESSES},
	volume = {34},
	unique-id = {33777210},
	issn = {1045-6740},
	year = {2023},
	pages = {417-427},
	orcid-numbers = {Farkas, Beáta/0000-0002-7026-8980; Sipos, György/0000-0001-6224-2361; Czigány, Szabolcs/0000-0002-9158-3162; Kovács, János/0000-0001-7742-5515; Fábián, Szabolcs Ákos/0000-0001-9127-2113}
}

@mastersthesis{MTMT:31172880,
	title = {Geomorphometric application of quasi-global DEMs for semi-automated geomorphological mapping},
	url = {https://m2.mtmt.hu/api/publication/31172880},
	author = {Józsa, Edina},
	unique-id = {31172880},
	year = {2020}
}

@article{MTMT:30834540,
	title = {Distribution of landslides reconstructed from inventory data and estimation of landslide susceptibility in Hungary},
	url = {https://m2.mtmt.hu/api/publication/30834540},
	author = {Józsa, Edina and Lóczy, Dénes and Soldati, M and Drăguţ, L D and Szabó, József},
	doi = {10.15201/hungeobull.68.3.4},
	journal-iso = {HUNG GEOGR BULL (2009-)},
	journal = {HUNGARIAN GEOGRAPHICAL BULLETIN (2009-)},
	volume = {68},
	unique-id = {30834540},
	issn = {2064-5031},
	abstract = {The complexity of landslides makes it difficult to predict the spatial distribution of landslide susceptibility and hazard. Although in most European countries the basic preconditions for the occurrence of mass movements (rocks and topography) have been mapped in detail, the triggering factors (e.g. precipitation or earthquakes) are much less predictable. A detailed nation-wide inventory for Hungary provides a unique base for landslide susceptibility mapping. As the methodology for the assessment the technique applied in the ELSUS 1000 project was selected. The micro-regions of Hungary were identified where mass movements contribute to land degradation. The paper provides a statistical evaluation of the distribution of landslides, depicts landslide susceptibility on maps and reveals the role of anthropogenic factors in the generation of mass movements. The mid-resolution elevation model (SRTM1), land cover data (CLC50) and surface geology database (Mining and Geological Survey of Hungary) allowed for the derivation of a landslide susceptibility map more detailed than before. Along with its background information the map reflects and explains the differences in landslide susceptibility among the individual hilly and mountainous regions},
	keywords = {GIS; landslides; Landslide susceptibility; National inventory},
	year = {2019},
	eissn = {2064-5147},
	pages = {255-268},
	orcid-numbers = {Lóczy, Dénes/0000-0002-2542-6775; Soldati, M/0000-0002-1600-4255; Drăguţ, L D/0000-0002-2138-3288}
}

@{MTMT:30723794,
	title = {Mass movements},
	url = {https://m2.mtmt.hu/api/publication/30723794},
	author = {Lóczy, Dénes and Józsa, Edina and Szabó, József},
	booktitle = {Landscape degradation in Hungary},
	unique-id = {30723794},
	year = {2019},
	pages = {55-65},
	orcid-numbers = {Lóczy, Dénes/0000-0002-2542-6775}
}

@article{MTMT:30624789,
	title = {Sensitivity of geomorphons to mapping specific landforms from a digital elevation model: A case study of drumlins},
	url = {https://m2.mtmt.hu/api/publication/30624789},
	author = {Sărășan, Adriana and Józsa, Edina and Ardelean, Adrian C. and Drăguț, Lucian},
	doi = {10.1111/area.12451},
	journal-iso = {AREA},
	journal = {AREA},
	volume = {51},
	unique-id = {30624789},
	issn = {0004-0894},
	year = {2019},
	eissn = {1475-4762},
	pages = {257-267}
}

@{MTMT:3270449,
	title = {Exploring thermal-contraction-crack polygons by non-destructive approaches in Transdanubia, Hungary},
	url = {https://m2.mtmt.hu/api/publication/3270449},
	author = {Józsa, Edina and Ildikó, Fitt},
	booktitle = {10th Geosymposium of Young Researchers "Silesia 2017" Abstract Book},
	unique-id = {3270449},
	year = {2017},
	pages = {61-62}
}

@article{MTMT:3218970,
	title = {Spatial analysis of fluvial terraces in GRASS GIS accessing R functionality},
	url = {https://m2.mtmt.hu/api/publication/3218970},
	author = {Józsa, Edina},
	journal-iso = {GEOPHYS RES ABSTR},
	journal = {GEOPHYSICAL RESEARCH ABSTRACTS},
	volume = {19},
	unique-id = {3218970},
	issn = {1029-7006},
	year = {2017},
	eissn = {1607-7962}
}

@CONFERENCE{MTMT:3218969,
	title = {Mapping fluvial terraces from DEMs with semi-automated geostatistical approach},
	url = {https://m2.mtmt.hu/api/publication/3218969},
	author = {Józsa, Edina},
	booktitle = {Abstract Book - 9th International Student and Early Career Conference},
	unique-id = {3218969},
	year = {2017},
	pages = {40}
}

@CONFERENCE{MTMT:3211971,
	title = {Folyóvízi teraszok térképezése és elemzése térinformatikai módszerekkel a Gerecse északi peremén},
	url = {https://m2.mtmt.hu/api/publication/3211971},
	author = {Józsa, Edina and Fábián, Szabolcs Ákos},
	booktitle = {XIII. Kárpát-medencei Környezettudományi Konferencia},
	unique-id = {3211971},
	year = {2017},
	pages = {90-95},
	orcid-numbers = {Fábián, Szabolcs Ákos/0000-0001-9127-2113}
}

@article{MTMT:3280999,
	title = {Az SRTM-1 felszínmodell korrigálása Magyarországra},
	url = {https://m2.mtmt.hu/api/publication/3280999},
	author = {Józsa, Edina and Fábián, Szabolcs Ákos},
	doi = {10.17799/2016.1.13},
	journal-iso = {TERMÉSZETFÖLDRAJZI KÖZLEMÉNYEK (PÉCS)},
	journal = {TERMÉSZETFÖLDRAJZI KÖZLEMÉNYEK A PÉCSI TUDOMÁNYEGYETEM FÖLDRAJZI INTÉZETÉBŐL},
	volume = {2016},
	unique-id = {3280999},
	issn = {2063-4153},
	year = {2016},
	pages = {13-22},
	orcid-numbers = {Fábián, Szabolcs Ákos/0000-0001-9127-2113}
}