@article{MTMT:34472868,
	title = {Seamlessly combined historical and projected daily meteorological datasets for impact studies in Central Europe: The FORESEE v4.0 and the FORESEE-HUN v1.0},
	url = {https://m2.mtmt.hu/api/publication/34472868},
	author = {Kern, Anikó and Dobor, Laura and Hollós, Roland and Marjanović, Hrvoje and Torma, Csaba and Kis, Anna and Fodor, Nándor and Barcza, Zoltán},
	doi = {10.1016/j.cliser.2023.100443},
	journal-iso = {CLIM SERV},
	journal = {CLIMATE SERVICES},
	volume = {33},
	unique-id = {34472868},
	issn = {2405-8807},
	year = {2024},
	eissn = {2405-8807},
	orcid-numbers = {Kern, Anikó/0000-0002-3504-1668; Torma, Csaba/0000-0002-4240-0788; Kis, Anna/0000-0002-3227-1230; Barcza, Zoltán/0000-0002-1278-0636}
}

@misc{MTMT:34782160,
	title = {A napraforgó virágzási időszakának becslése űrfelvétel-idősorok és in situ kaptár-adatok felhasználásával},
	url = {https://m2.mtmt.hu/api/publication/34782160},
	author = {Vincze, Csilla and Birinyi, Edina and Leelőssy, Ádám and Kern, Anikó and Kristóf, Dániel},
	unique-id = {34782160},
	year = {2023},
	orcid-numbers = {Vincze, Csilla/0000-0002-6658-0090; Leelőssy, Ádám/0000-0001-9583-0127; Kern, Anikó/0000-0002-3504-1668}
}

@CONFERENCE{MTMT:34172176,
	title = {Az éghajlati adatok mint bemenő feltételek a hatásvizsgálatokban},
	url = {https://m2.mtmt.hu/api/publication/34172176},
	author = {Pongrácz, Rita and Barcza, Zoltán and Kern, Anikó},
	booktitle = {48. Meteorológiai Tudományos Napok.},
	unique-id = {34172176},
	year = {2023},
	pages = {23},
	orcid-numbers = {Pongrácz, Rita/0000-0001-7591-7989; Barcza, Zoltán/0000-0002-1278-0636; Kern, Anikó/0000-0002-3504-1668}
}

@inproceedings{MTMT:34141639,
	title = {Radaralapú belvízdetektálási lehetőségek Google Earth Engineben egy hazai mintaterület példáján},
	url = {https://m2.mtmt.hu/api/publication/34141639},
	author = {Birinyi, Edina and Kristóf, Dániel and Kern, Anikó and Rotterné, Kulcsár Anikó},
	booktitle = {Az elmélet és gyakorlat találkozása a térinformatikában XIV. : Theory meets practice in GIS},
	unique-id = {34141639},
	year = {2023},
	pages = {41-51},
	orcid-numbers = {Kern, Anikó/0000-0002-3504-1668}
}

@misc{MTMT:34177994,
	title = {A FORESEE éghajlati adatbázis},
	url = {https://m2.mtmt.hu/api/publication/34177994},
	author = {Kern, Anikó and Barcza, Zoltán and Dobor, Laura and Hollós,, R., and Marjanović,, H., and Torma, Csaba and Kis,, A., and Fodor, N},
	unique-id = {34177994},
	year = {2022},
	orcid-numbers = {Kern, Anikó/0000-0002-3504-1668; Barcza, Zoltán/0000-0002-1278-0636; Dobor, Laura/0000-0001-6712-9827; Torma, Csaba/0000-0002-4240-0788}
}

@misc{MTMT:34177976,
	title = {Meteorológiai adatok 1951-2100-ra: a FORESEE adatbázis},
	url = {https://m2.mtmt.hu/api/publication/34177976},
	author = {Kern, Anikó and Barcza, Zoltán and Dobor, Laura},
	unique-id = {34177976},
	year = {2022},
	orcid-numbers = {Kern, Anikó/0000-0002-3504-1668; Barcza, Zoltán/0000-0002-1278-0636; Dobor, Laura/0000-0001-6712-9827}
}

@inbook{MTMT:33680985,
	title = {Magyarországi gyepek fenológiai ciklusának vizsgálata műholdas távérzékelés segítségével},
	url = {https://m2.mtmt.hu/api/publication/33680985},
	author = {Dávid, Réka Ágnes and Barcza, Zoltán and Kern, Anikó},
	booktitle = {Aktuális meteorológiai kutatások: Az éghajlatváltozás és hatásainak vizsgálata, levegőminőségi elemzések},
	doi = {10.31852/EMF.34.2022.022.030},
	unique-id = {33680985},
	year = {2022},
	pages = {22-30},
	orcid-numbers = {Dávid, Réka Ágnes/0000-0002-7898-9715; Barcza, Zoltán/0000-0002-1278-0636; Kern, Anikó/0000-0002-3504-1668}
}

@inbook{MTMT:33642018,
	title = {Nagyfelbontású kukorica és napraforgó állapot-térképezés a Mezőgazdasági Kockázatkezelési Rendszerben: a 2022-es aszály hatása},
	url = {https://m2.mtmt.hu/api/publication/33642018},
	author = {Birinyi, Edina and Kern, Anikó and Kristóf, Dániel and Barcza, Zoltán},
	booktitle = {Az elmélet és gyakorlat találkozása a térinformatikában XIII.},
	unique-id = {33642018},
	abstract = {In the summer of 2022, extreme drought events hit a large part of Europe including Hungary, with severe impacts on agricultural production. In this work, we developed a methodology for creating high-resolution, crop-specific condition maps based on Sentinel-2 optical satellite imagery, taking into account both temporal and spatial characteristics. Five spectral indices (NDVI, kNDVI, EVI, PSRI, NDMI) were used in combination by applying the Vegetation Condition Index (VCI) principle. Six categories were determined, ranging from “not affected” to “severely affected”, based on the number of indices indicating unfavourable vegetation conditions. The current paper summarizes our results for maize and sunflower cultures. The resulting maps were provided to the National Food Chain Safety Office to facilitate field damage assessment.},
	year = {2022},
	pages = {75-81},
	orcid-numbers = {Kern, Anikó/0000-0002-3504-1668; Barcza, Zoltán/0000-0002-1278-0636}
}

@article{MTMT:33641988,
	title = {A mezőgazdasági kockázatkezelési rendszerbe benyújtott aszály kárigények igazolhazóságára rendelkezésre álló sentinel-2 felvételek a jogszabályi határidők betartásával},
	url = {https://m2.mtmt.hu/api/publication/33641988},
	author = {Birinyi, Edina and Kern, Anikó and Barcza, Zoltán and Kristóf, Dániel},
	journal-iso = {EGYETEMI METEOROLÓGIAI FÜZETEK},
	journal = {EGYETEMI METEOROLÓGIAI FÜZETEK - METEOROLOGICAL NOTES OF UNIVERSITIES},
	volume = {AKTUÁLIS METEOROLÓGIAI KUTATÁSOK: AZ ÉGHAJLATVÁLTOZÁS ÉS HATÁSAINAK VIZSGÁLATA, LEVEGŐMINŐSÉGI ELEMZÉSEK},
	unique-id = {33641988},
	issn = {0865-7920},
	year = {2022},
	pages = {13-21},
	orcid-numbers = {Kern, Anikó/0000-0002-3504-1668; Barcza, Zoltán/0000-0002-1278-0636}
}

@article{MTMT:33239320,
	title = {Critical Climate Periods Explain a Large Fraction of the Observed Variability in Vegetation State},
	url = {https://m2.mtmt.hu/api/publication/33239320},
	author = {Kern, Anikó and Barcza, Zoltán and Hollós, Roland and Birinyi, Edina and Marjanović, Hrvoje},
	doi = {10.3390/rs14215621},
	journal-iso = {REMOTE SENS-BASEL},
	journal = {REMOTE SENSING},
	volume = {14},
	unique-id = {33239320},
	abstract = {Previous studies have suggested that a major part of the observed variability in vegetation state might be associated with variability in climatic drivers during relatively short periods within the year. Identification of such critical climate periods, when a particular climate variable most likely has a pronounced influence on the vegetation state of a particular ecosystem, becomes increasingly important in the light of climate change. In this study, we present a method to identify critical climate periods for eight different semi-natural ecosystem categories in Hungary, in Central Europe. The analysis was based on the moving-window correlation between MODIS NDVI/LAI and six climate variables with different time lags during the period 2000–2020. Distinct differences between the important climate variables, critical period lengths, and direction (positive or negative correlations) have been found for different ecosystem categories. Multiple linear models for NDVI and LAI were constructed to quantify the multivariate influence of the environmental conditions on the vegetation state during the late summer. For grasslands, the best models for NDVI explained 65–87% variance, while for broad-leaved forests, the highest explained variance for LAI was up to 50%. The proposed method can be easily implemented in other geographical locations and can provide essential insight into the functioning of different ecosystem types.},
	year = {2022},
	eissn = {2072-4292},
	orcid-numbers = {Kern, Anikó/0000-0002-3504-1668; Barcza, Zoltán/0000-0002-1278-0636; Marjanović, Hrvoje/0000-0001-5701-7581}
}