@inproceedings{MTMT:33249318,
	title = {Fenológiai vizsgálatok napraforgómintákon Sentinel-2 műholdfelvételek felhasználásával},
	url = {https://m2.mtmt.hu/api/publication/33249318},
	author = {Dobos, Nóra and Varga, Orsolya Gyöngyi and Túri, Zoltán},
	booktitle = {Az elmélet és gyakorlat találkozása a térinformatikában XIII.},
	unique-id = {33249318},
	abstract = {In our research we dealt with phenological curves of various sunflower fields in NE Hungary. Our aim was to record field samples and to calculate NDVI and SAVI indices based on Sentinel-2 datasets. We created and analysed phenological curves of each sample and drew conclusions based on the curves. We found that the NDVI and SAVI indices followed usual and presumed values concerning sunflower development and we enhanced possible reasons for outlier curves.},
	year = {2022},
	pages = {117-122}
}

@inproceedings{MTMT:32749416,
	title = {Vízfelületek és vizes élőhelyek változásának vizsgálata Landsat idősoros adatok alapján},
	url = {https://m2.mtmt.hu/api/publication/32749416},
	author = {Varga, Orsolya Gyöngyi and Szalóki, Annamária and Kovács, Zoltán and Hunyadi, Gergely},
	booktitle = {Az elmélet és a gyakorlat találkozása a térinformatikában XII.: Theory meets practice in GIS},
	unique-id = {32749416},
	year = {2021},
	pages = {339-344}
}

@misc{MTMT:31982053,
	title = {Detection of post-earthquake building damages in Zagreb based on Sentinel-1 radar data},
	url = {https://m2.mtmt.hu/api/publication/31982053},
	author = {Kiss, Alida and Varga, Orsolya Gyöngyi and Bekő, László},
	unique-id = {31982053},
	year = {2021},
	pages = {498-498},
	orcid-numbers = {Kiss, Alida/0000-0002-7615-5338}
}

@{MTMT:31982034,
	title = {Detection of post-earthquake building damages in Zagreb based on Sentinel-1radar data},
	url = {https://m2.mtmt.hu/api/publication/31982034},
	author = {Kiss, Alida and Varga, Orsolya Gyöngyi and Bekő, László},
	booktitle = {Book of abstracts},
	unique-id = {31982034},
	year = {2021},
	pages = {108-109},
	orcid-numbers = {Kiss, Alida/0000-0002-7615-5338}
}

@article{MTMT:31654695,
	title = {Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches},
	url = {https://m2.mtmt.hu/api/publication/31654695},
	author = {Csatáriné Szabó, Zsuzsanna and Mikita, Tomáš and Négyesi, Gábor and Varga, Orsolya Gyöngyi and Burai, Péter and Takács-Szilágyi, László and Szabó, Szilárd},
	doi = {10.3390/rs12213652},
	journal-iso = {REMOTE SENS-BASEL},
	journal = {REMOTE SENSING},
	volume = {12},
	unique-id = {31654695},
	year = {2020},
	eissn = {2072-4292},
	pages = {3652},
	orcid-numbers = {Szabó, Szilárd/0000-0002-2670-7384}
}

@mastersthesis{MTMT:31389814,
	title = {Analysis of Land Change Tendencies based on Remotely Sensed Data},
	url = {https://m2.mtmt.hu/api/publication/31389814},
	author = {Varga, Orsolya Gyöngyi},
	unique-id = {31389814},
	year = {2020}
}

@article{MTMT:31289464,
	title = {Effects of Category Aggregation on Land Change Simulation Based on Corine Land Cover Data},
	url = {https://m2.mtmt.hu/api/publication/31289464},
	author = {Varga, Orsolya Gyöngyi and Pontius Jr, Robert Gilmore and Csatáriné Szabó, Zsuzsanna and Szabó, Szilárd},
	doi = {10.3390/rs12081314},
	journal-iso = {REMOTE SENS-BASEL},
	journal = {REMOTE SENSING},
	volume = {12},
	unique-id = {31289464},
	year = {2020},
	eissn = {2072-4292},
	pages = {1314},
	orcid-numbers = {Szabó, Szilárd/0000-0002-2670-7384}
}

@inproceedings{MTMT:30845860,
	title = {Természetközeli vizes élőhelyek és városi területek változásának idősoros monitoringja: különbségek és hasonlóságok},
	url = {https://m2.mtmt.hu/api/publication/30845860},
	author = {Szabó, Loránd and Varga, Orsolya Gyöngyi and Szabó, Szilárd},
	booktitle = {Tájak működése és arculata},
	unique-id = {30845860},
	year = {2019},
	pages = {209-212},
	orcid-numbers = {Szabó, Loránd/0000-0001-7105-715X; Szabó, Szilárd/0000-0002-2670-7384}
}

@{MTMT:30789338,
	title = {Természetközeli vizes élőhelyek és városi területek változásának idősoros monitoringja: különbségek és hasonlóságok},
	url = {https://m2.mtmt.hu/api/publication/30789338},
	author = {Szabó, Loránd and Varga, Orsolya Gyöngyi and Szabó, Szilárd},
	booktitle = {VIII. Magyar Tájökológiai Konferencia},
	unique-id = {30789338},
	year = {2019},
	pages = {56},
	orcid-numbers = {Szabó, Loránd/0000-0001-7105-715X; Szabó, Szilárd/0000-0002-2670-7384}
}

@article{MTMT:30680227,
	title = {Quantitative assessment of landscape transformation using earth observation datasets in Shirui Hills of Manipur, India},
	url = {https://m2.mtmt.hu/api/publication/30680227},
	author = {Shimrah, Tuisem and Sarma, Kiranmay and Varga, Orsolya Gyöngyi and Szabó, Szilárd and Singh, Sudhir Kumar},
	doi = {10.1016/j.rsase.2019.100237},
	journal-iso = {REMOTE SENS APPLIC SOC ENVIRON},
	journal = {REMOTE SENSING APPLICATIONS : SOCIETY AND ENVIRONMENT},
	volume = {15},
	unique-id = {30680227},
	abstract = {Shirui hill is situated at the north-eastern part of Manipur, India. This hill is not only the habitat of world famous endemic flower; Lilium mackliniae, but also home to many vulnerable and endangered floral and faunal species. The aim of work was to assess the ecosystem diversity and landscape transformation Landsat satellite images of year 1988, 2001 and 2013 have been used to study the land use/land cover change and landscape fragmentation using FRAGSTATS. Several statistics such as principal component analysis (PCA) and spatial metrics are used to understand the results. The PCA was performed on the landscape metrics explained 93.0% of the total variance and justified three PCs; of these, both RMSR and AGFI fit very well (0.02 and 0.99, respectively), while PC1 accounted for 42% of the variance and was correlated with CA, TCA, NDCA and AREA_CV, PC2 explained 34% and was correlated with TE, SHAPE_MN, and PC3 explained 19% and was correlated with NP. The phyto-sociological study was carried out to assess the vegetation status. Participatory Rural Appraisal (PRA) method was adopted for socio-economic data collection. The finding of work suggests a rising pressure of human activities on the land and sizable portion of it have been converted into either shifting agriculture or wet paddy land.},
	year = {2019},
	eissn = {2352-9385},
	orcid-numbers = {Szabó, Szilárd/0000-0002-2670-7384}
}