TY - CONF AU - Bertalan, László AU - Négyesi, Gábor AU - Szabó, Gergely AU - Túri, Zoltán AU - Szabó, Szilárd TI - Evaluating the efficacy of multitemporal TLS and UAS surveys for quantifying wind erosion magnitudes of sand dune topography T2 - EGU General Assembly 2024 : abstracts PB - European Geosciences Union (EGU) C1 - Wien PY - 2024 UR - https://m2.mtmt.hu/api/publication/34799801 ID - 34799801 LA - English DB - MTMT ER - TY - CONF AU - Ábri, Tamás AU - Keserű, Zsolt AU - Szabó, Gergely ED - Czimber, Kornél TI - Akác klónkísérlet UAV-alapú állományvizsgálatának kezdeti eredményei T2 - Erdészeti Tudományos Konferencia Sopron, 2024. február 5-6. : Kivonatok Kötete PB - Soproni Egyetem Erdőmérnöki Kar C1 - Sopron PY - 2024 SP - 28 UR - https://m2.mtmt.hu/api/publication/34518246 ID - 34518246 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Szabó, Loránd AU - Bertalan, László AU - Szabó, Gergely AU - Szabó, Szilárd ED - Abriha-Molnár, Vanda Éva TI - Holtágak UAV-alapú felmérésének lehetőségei multispektrális kamera alkalmazásával T2 - Az elmélet és gyakorlat találkozása a térinformatikában XIV. : Theory meets practice in GIS PB - Debreceni Egyetemi Kiadó CY - Debrecen SN - 9789636150846 PY - 2023 SP - 269 EP - 273 PG - 5 UR - https://m2.mtmt.hu/api/publication/34023203 ID - 34023203 AB - 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. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Kenyeres, Zoltán AU - Bauer, Norbert AU - Bertalan, László AU - Szabó, Gergely AU - Márkus, András AU - Sáringer-Kenyeres, Tamás AU - Szabó, Szilárd TI - Cost-benefit analysis of remote sensing data types for mapping mosquito breeding sites JF - SPATIAL INFORMATION RESEARCH J2 - SPAT INF RES VL - 31 PY - 2023 IS - 2 SP - 419 EP - 428 PG - 10 SN - 2366-3286 DO - 10.1007/s41324-023-00511-7 UR - https://m2.mtmt.hu/api/publication/33657250 ID - 33657250 AB - 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. LA - English DB - MTMT ER - TY - CHAP AU - Nagy, Loránd Attila AU - Szabó, Gergely AU - Bertalan, László ED - Abriha-Molnár, Vanda Éva TI - Eltérő módon történő UAV-felvételezésből származó fotogrammetriai modellek összehasonlító pontosság-vizsgálata T2 - Az elmélet és gyakorlat találkozása a térinformatikában XIII. PB - Debreceni Egyetemi Kiadó CY - Debrecen SN - 9789636150396 PY - 2022 SP - 233 EP - 238 PG - 6 UR - https://m2.mtmt.hu/api/publication/33572859 ID - 33572859 AB - 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. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Bertalan, László AU - Holb, Imre AU - Pataki, Angelika AU - Négyesi, Gábor AU - Szabó, Gergely AU - Szalóki, Annamária AU - Szabó, Szilárd TI - UAV-based multispectral and thermal cameras to predict soil water content – A machine learning approach JF - COMPUTERS AND ELECTRONICS IN AGRICULTURE J2 - COMPUT ELECTRON AGR VL - 200 PY - 2022 SN - 0168-1699 DO - 10.1016/j.compag.2022.107262 UR - https://m2.mtmt.hu/api/publication/33036558 ID - 33036558 LA - English DB - MTMT ER - TY - JOUR AU - Mester, Tamás AU - Szabó, György Emőd AU - Sajtos, Zsófi AU - Baranyai, Edina AU - Szabó, Gergely AU - Balla, Dániel TI - Environmental hazards of an unrecultivated liquid waste disposal site on soil and groundwater JF - WATER J2 - WATER-SUI VL - 14 PY - 2022 IS - 2 PG - 17 SN - 2073-4441 DO - 10.3390/w14020226 UR - https://m2.mtmt.hu/api/publication/32592899 ID - 32592899 N1 - 327484 LA - English DB - MTMT ER - TY - CHAP AU - Nagy, Loránd Attila AU - Szabó, Gergely AU - Pataki, Angelika AU - Bertalan, László ED - Abriha-Molnár, Vanda Éva TI - Eltérő külső tájékozással generált UAV-magasságmodellek pontosság-vizsgálata, különböző feldolgozó szoftverekben T2 - Az elmélet és a gyakorlat találkozása a térinformatikában XII.: Theory meets practice in GIS PB - Debreceni Egyetemi Kiadó CY - Debrecen SN - 9789633189771 PY - 2021 SP - 237 EP - 242 PG - 6 UR - https://m2.mtmt.hu/api/publication/32503654 ID - 32503654 LA - English DB - MTMT ER - TY - CHAP AU - Nagy, Loránd Attila AU - Szabó, Gergely AU - Bertalan, László ED - Karátson, Dávid ED - Nagy, Balázs TI - UAV alapú felszínmodellek összehasonlító vizsgálata eltérő feldolgozási környezetekben T2 - X. Magyar Földrajzi Konferencia = 10th Hungarian Geographical Conference : absztraktkötet PB - Földgömb az Expedíciós Kutatásért Alapítvány CY - Budapest SN - 9786150128993 PY - 2021 SP - 185 EP - 185 PG - 1 UR - https://m2.mtmt.hu/api/publication/32366587 ID - 32366587 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Schlosser, Aletta AU - Szabó, Gergely AU - Bertalan, László AU - Varga, Zsolt AU - Enyedi, Péter AU - Szabó, Szilárd TI - Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on Machine Learning and Segmentation JF - REMOTE SENSING J2 - REMOTE SENS-BASEL VL - 12 PY - 2020 IS - 15 PG - 28 SN - 2072-4292 DO - 10.3390/RS12152397 UR - https://m2.mtmt.hu/api/publication/31388871 ID - 31388871 LA - English DB - MTMT ER -