TY - CHAP AU - Varga, Orsolya Gyöngyi AU - Szalóki, Annamária AU - Kovács, Zoltán AU - Hunyadi, Gergely ED - Abriha-Molnár, Vanda Éva TI - Vízfelületek és vizes élőhelyek változásának vizsgálata Landsat idősoros adatok alapján 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 - 339 EP - 344 PG - 6 UR - https://m2.mtmt.hu/api/publication/32749416 ID - 32749416 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Jakab, Gergely Imre AU - Bíró, Tibor AU - Kovács, Zoltán AU - Papp, Á AU - Sarawut, N AU - Szalai, Zoltán AU - Madarász, Balázs AU - Szabó, Szilárd TI - Spatial analysis of changes and anomalies of intense rainfalls in Hungary JF - HUNGARIAN GEOGRAPHICAL BULLETIN (2009-) J2 - HUNG GEOGR BULL (2009-) VL - 68 PY - 2019 IS - 3 SP - 241 EP - 253 PG - 13 SN - 2064-5031 DO - 10.15201/hungeobull.68.3.3 UR - https://m2.mtmt.hu/api/publication/30831759 ID - 30831759 N1 - Geographical Institute, Research Centre for Astronomy and Earth Sciences, Hungarian Academy of Sciences, Budapest, Hungary Institute of Geography and Geoinformatics, University of Miskolc, Miskolc, Hungary Faculty of Water Sciences, Institute of Hydraulic Engineering and Water Management, National University of Public Service, Baja, Hungary Department of Physical Geography and Geoinformatics, Faculty of Science and Technology, University of Debrecen, Debrecen, Hungary Department of Remote Sensing and Geographic Information Systems (RS-GIS), Asian Institute of Technology, Bangkok, Thailand Department of Environmental and Landscape Geography, ELTE University, Budapest, Hungary Cited By :2 Export Date: 25 October 2020 Geographical Institute, Research Centre for Astronomy and Earth Sciences, Hungarian Academy of Sciences, Budapest, Hungary Institute of Geography and Geoinformatics, University of Miskolc, Miskolc, Hungary Faculty of Water Sciences, Institute of Hydraulic Engineering and Water Management, National University of Public Service, Baja, Hungary Department of Physical Geography and Geoinformatics, Faculty of Science and Technology, University of Debrecen, Debrecen, Hungary Department of Remote Sensing and Geographic Information Systems (RS-GIS), Asian Institute of Technology, Bangkok, Thailand Department of Environmental and Landscape Geography, ELTE University, Budapest, Hungary Cited By :2 Export Date: 26 October 2020 AB - Extreme precipitation events can trigger flash flood, mass movements, pluvial flood and accelerated soil erosion. As soil structures are highly degraded due to intensive improper cultivation water infiltration can considerably decrease during the vegetation period. Additional changes in canopy coverage on the soil surface cause relevant variability in infiltration and hence vulnerability against runoff related disasters. Most researchers agree that the frequency of extreme precipitations increases, however, in the Carpathian Basin the uncertainties are quite high. This study aims to compare daily maximum mean precipitation amounts (MMPA) predicted by the Goda-method for June and August as the most probable months of extremities. We used the CarpatClim database as input and predicted MMPAs for two periods, 1960–1985 and 1986–2010. The Goda-method uses monthly data and calculates daily results on given probability. A general increase was found between the first and second half of the period regarding daily maximum precipitation amount in both investigated months. For August the 1-day precipitation amount increased from 56.1 mm to 61.8 mm, whereas 6-days amount from 93.8 mm to 103.2 mm at 1 per cent probability (r = 0.53; p < 0.001). Beyond this change, relevant spatial differences were found. Comparing the macro regions plains had lower increase compared to the mountains, whereas the highest increase was at the. The most endangered location is the southern part of the Transdanubian Hills where parallel with the intensive increase in MMPA both in June and August the environmental conditions such as loose parent material and the high percentage of crop fields also emphasize the potential hazard. LA - English DB - MTMT ER - TY - JOUR AU - Szabó, Szilárd AU - Deák, Balázs AU - Kovács, Zoltán AU - Kertész, Ádám AU - Balázs, Boglárka TI - Dataset for landscape pattern analysis from a climatic perspective JF - DATA IN BRIEF J2 - DATA BRIEF VL - 25 PY - 2019 PG - 5 SN - 2352-3409 DO - 10.1016/j.dib.2019.104187 UR - https://m2.mtmt.hu/api/publication/30722690 ID - 30722690 LA - English DB - MTMT ER - TY - JOUR AU - Szabó, Szilárd AU - Abriha, Dávid AU - Kovács, Zoltán AU - Sarawut, Ninsawat AU - Bertalan, László AU - Balázs, Boglárka TI - Pan-sharpening as an effective method to improve classification accuracy of roofing materials JF - GEOPHYSICAL RESEARCH ABSTRACTS J2 - GEOPHYS RES ABSTR VL - 21 PY - 2019 SP - 1 SN - 1029-7006 UR - https://m2.mtmt.hu/api/publication/30448066 ID - 30448066 LA - English DB - MTMT ER - TY - JOUR AU - Szabó, Szilárd AU - László, Elemér AU - Kovács, Zoltán AU - Püspöki, Zoltán AU - Kertész, Ádám AU - Singh, Sudhir Kumar AU - Balázs, Boglárka TI - NDVI dynamics as reflected in climatic variables: spatial and temporal trends – a case study of Hungary JF - GISCIENCE AND REMOTE SENSING J2 - GISCI REMOTE SENS VL - 56 PY - 2019 IS - 4 SP - 624 EP - 644 PG - 21 SN - 1548-1603 DO - 10.1080/15481603.2018.1560686 UR - https://m2.mtmt.hu/api/publication/30360627 ID - 30360627 LA - English DB - MTMT ER - TY - JOUR AU - Enyedi, Péter AU - Pap, Melinda AU - Kovács, Zoltán AU - Takács-Szilágyi, László AU - Szabó, Szilárd TI - Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model JF - INTERNATIONAL JOURNAL OF DIGITAL EARTH J2 - INT J DIGIT EARTH VL - 12 PY - 2019 IS - 9 SP - 1067 EP - 1082 PG - 16 SN - 1753-8947 DO - 10.1080/17538947.2018.1501107 UR - https://m2.mtmt.hu/api/publication/3399058 ID - 3399058 LA - English DB - MTMT ER - TY - CHAP AU - Kovács, Zoltán AU - Bekő, László AU - Burai, Péter ED - Molnár, Vanda TI - Voxel alapú fapozíció-meghatározás pontfelhőből T2 - Az elmélet és a gyakorlat találkozása a térinformatikában IX. PB - Debreceni Egyetemi Kiadó CY - Debrecen SN - 9789633187234 PY - 2018 SP - 171 EP - 178 PG - 8 UR - https://m2.mtmt.hu/api/publication/30387987 ID - 30387987 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Abriha, Dávid AU - Kovács, Zoltán AU - Ninsawat, Sarawut AU - Bertalan, László AU - Balázs, Boglárka AU - Szabó, Szilárd TI - Identification of roofing materials with Discriminant Function Analysis and Random Forest classifiers on pan-sharpened WorldView-2 imagery – a comparison JF - HUNGARIAN GEOGRAPHICAL BULLETIN (2009-) J2 - HUNG GEOGR BULL (2009-) VL - 67 PY - 2018 IS - 4 SP - 375 EP - 392 PG - 18 SN - 2064-5031 DO - 10.15201/hungeobull.67.4.6 UR - https://m2.mtmt.hu/api/publication/30355571 ID - 30355571 LA - English DB - MTMT ER - TY - CHAP AU - Szabó, Gergely AU - Bertalan, László AU - Barkóczi, Norbert AU - Kovács, Zoltán AU - Burai, Péter AU - Lénárt, Csaba ED - Gianluca, Casagrande ED - Sik, András ED - Szabó, Gergely TI - Zooming on Aerial Survey T2 - Small Flying Drones: Applications for Geographic Observation PB - Springer Netherlands CY - Zürich SN - 9783319665771 PY - 2018 SP - 91 EP - 126 PG - 36 DO - 10.1007/978-3-319-66577-1_4 UR - https://m2.mtmt.hu/api/publication/3289058 ID - 3289058 AB - The aim of this chapter is to provide a general overview about the main components of a developed UAS mapping system, the survey, and processing procedure. At frst (4.1), a brief introduction is given about basic operational elements and accessories of UAS. Then, recent camera/sensor technologies allowing various survey solutions are going to be discussed. Once these hardware components are presented, the detailed workflow of a basic UAV-based mapping procedure is described (4.2). A further discussion focuses not only on the analytical or planning phases but also on providing useful information on the operational and processing parts as well (4.3). Then, there comes image acquisition and project planning (4.4). The photogrammetry-based image processing requires detailed expertise and attention; Sect. 4.5 maybe helpful to avoid potential mistakes. The last section (4.6) summarizes some aspects of the use of LiDAR technologies in UAV-based surveys. LA - English DB - MTMT ER - TY - CHAP AU - Kovács, Zoltán AU - Katona, Zsolt AU - Takács, László ED - Balázs, Boglárka TI - Teljes jelalakos LiDAR adatok feldolgozása erdőterületeken T2 - Az elmélet és a gyakorlat találkozása a térinformatikában VIII. = Theory meets practice in GIS PB - Debreceni Egyetemi Kiadó CY - Debrecen SN - 9789633186381 PY - 2017 SP - 185 EP - 190 PG - 6 UR - https://m2.mtmt.hu/api/publication/30388036 ID - 30388036 LA - Hungarian DB - MTMT ER -