TY - JOUR AU - KOROKNAI, Balázs AU - Kovács, Gábor AU - WÓRUM, Géza AU - Békési, Eszter AU - Győri, Erzsébet AU - Czecze, Barbara AU - Wéber, Zoltán AU - Porkoláb, Kristóf AU - Bozsó, István AU - Szárnya, Csilla AU - Szűcs, Eszter AU - NÉMETH, Viktor AU - Balázs, László AU - SZABÓ, Gergely AU - TÓTH, Tamás TI - Magyarország szeizmotektonikai viszonyai és veszélyeztetettsége JF - FÖLDTANI KÖZLÖNY J2 - FÖLDTANI KÖZLÖNY VL - 153 PY - 2023 IS - 4 SP - 335 EP - 352 PG - 18 SN - 0015-542X DO - 10.23928/foldt.kozl.2023.153.4.335 UR - https://m2.mtmt.hu/api/publication/34580225 ID - 34580225 N1 - Geomega Kft., Mester u. 4, Budapest, 1095, Hungary Földfizikai és Űrtudományi Kutatóintézet, Csatkai E. u. 6–8, Sopron, 9400, Hungary ELTE BDPK Földrajzi Tanszék, Károlyi Gáspár tér 4, Szombathely, 9700, Hungary Wigner Fizikai Kutatóközpont, Nagyenergiás Fizikai Osztály, Innovatív Detektorfejlesztő Kutatócsoport, Konkoly-Thege Miklós út 29–33, Budapest, 1121, Hungary Cited By :2 Export Date: 1 March 2024 LA - Hungarian DB - MTMT ER - TY - GEN AU - 'P., Koucká Knížová' AU - 'K., Potužníková' AU - 'K., Podolská' AU - 'J., Chum' AU - 'Z., Mošna' AU - 'D., Kouba' AU - 'D., Obrazová' AU - Barta, Veronika AU - Berényi, Kitti Alexandra AU - Szárnya, Csilla AU - Buzás, Attila AU - Bozsó, István TI - Mesoscale cyclone Zyprian and its signatures within ionospheric plasma PY - 2023 UR - https://m2.mtmt.hu/api/publication/34527441 ID - 34527441 LA - English DB - MTMT ER - TY - GEN AU - Bozsó, István AU - Szűcs, Eszter AU - Szárnya, Csilla AU - Wesztergom, Viktor TI - Application of PS and SBAS radar interferometry for large-scale investigation of surface motions in Hungary PY - 2023 UR - https://m2.mtmt.hu/api/publication/34526451 ID - 34526451 AB - Satellite based synthetic aperture radar (SAR) interferometry (InSAR) has become a widely used tool for mapping and monitoring surface displacements alongside GNSS. The launch of the Sentinel-1 satellites, providing high-quality SAR images in C-band (5.405 GHz) at a very high temporal frequency (every 6 days until the end of 2021). The advancements both in computing capacity and processing algorithms enabled the determination of surface displacements on regional and even continental scale. C-band based InSAR processing has many limitations however, when applied in temperate regions. Seasonal change in soil moisture, vegetation foliage, surface coverage (snow cover) and agricultural activities (plowing, seeding, crop development) can all lead to loss of coherence and consequently loss of deformation information. These factors can render the determination of surface motions very difficult in areas where the velocity of these motions is low (< 1-2 mm / year). In this contribution the authors wish to present results of InSAR processing applied to an area (Hungary in Central Europe) where the mentioned limitations (temperate region, low expected displacement velocities) are present. Approximately 250 Sentinel-1 images, both ascending and descending direction, between 2016 and 2021 were processed covering the area of interest. The images were processed using the Gamma software package (https://www.gamma-rs.ch/software) with both Persistent Scatterer (PS) and Small Baseline (SBAS) InSAR processing methods. We present the results of the two processing strategies, discuss the advantages and shortcomings, and provide an outlook on future work, with recommendations on how to plan and execute such large-scale analysis. LA - English DB - MTMT ER - TY - GEN AU - Bozóki, Tamás AU - Sátori, Gabriella AU - Williams, Earle AU - Prácser, Ernő AU - Szabóné André, Karolina AU - Steinbach, Péter AU - Bozsó, István AU - Horváth, András AU - Kuslits, Lukács AU - Timkó, Máté AU - Guha, Anirban AU - Liu, Yakun AU - Bór, József ED - Buzás, Attila / Interviewed person TI - ELF Radio Waves in the Service of Studying the Lithosphere-Atmosphere-Ionosphere System PY - 2023 SP - 171 UR - https://m2.mtmt.hu/api/publication/34138948 ID - 34138948 LA - English DB - MTMT ER - TY - CONF AU - Bozóki, Tamás AU - Bór, József AU - Sátori, Gabriella AU - E., Williams AU - M., Rycroft AU - Steinbach, Péter AU - Bozsó, István AU - Horváth, András AU - Kuslits, Lukács AU - M., Atkinson AU - J., Kubisz AU - J., Mlynarzyk AU - A., Neska AU - T., Raita AU - R., Said TI - The impact of two extraordinary geophysical events on Schumann resonances: lessons from the Hunga-Tonga volcanic eruption and GRB 221009A T2 - XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023) PY - 2023 UR - https://m2.mtmt.hu/api/publication/34125281 ID - 34125281 LA - English DB - MTMT ER - TY - CONF AU - Czirok, Lili AU - Kuslits, Lukács AU - Gribovszki, Katalin Eszter AU - Bozsó, István TI - Testing a “fully – automated” clustering algorithm for stress inversions (CluStress) T2 - XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023) PY - 2023 SP - IUGG23-4514 DO - 10.57757/IUGG23-4514 UR - https://m2.mtmt.hu/api/publication/34102853 ID - 34102853 AB - The goal of this contribution is to present the “fully-automated” clustering algorithm developed by the authors. This is augmented by a case study where the authors carried out various cluster analyses of the focal mechanism solutions (FMS) estimated from local and teleseismic measurements and then performed stress inversions using the resulting clusters. This algorithm does not call for the setting of hyper-parameters by the users, thus greatly reducing the level of subjectivity introduced by user choice; the time required to finish the clustering can also be decreased. There is, however, an optional hyper-parameter which can be used for outlier detection, i.e. identify the data points considered to be noise in the input dataset, increasing the performance of the stress estimations. For probing the efficiency of their algorithm, systematic series of tests were executed on synthetic FMS data featuring clusters of various characteristics. During these tests, CluStress has been compared to other established clustering methods, namely, hierarchical density-based clustering for applications with noise (HDBSCAN) and agglomerative hierarchical analysis. Quantitative metrics, mainly the characteristic curves produced using the so-called silhouette-coefficient indicate that CluStress generates the most robust clusters for the stress inversions on synthetic data. A similar conclusion could be drawn from the same test performed using real FMS data of the investigated study area. As for this latter case, the resulting stress tensors show good agreement with the earlier published results with the notable exception of traces of extension, identified in some parts of the region after FMS clustering. LA - English DB - MTMT ER - TY - CONF AU - Kovács, István János AU - Szabó, Csaba AU - Szakács, Alexandru AU - Lange, Thomas Pieter AU - Kővágó, Ákos AU - Gelencsér, Orsolya AU - Gál, Ágnes AU - Berkesi, Márta AU - Liptai, Nóra AU - Patkó, Levente AU - Palcsu, László AU - Bozsó, István AU - Gergely, Szilveszter AU - Süle, Bálint AU - Novák, Attila AU - Wesztergom, Viktor TI - Integrated Geodynamic Stations in Central Europe T2 - Goldschmidt 2023 Conference: abstracts PB - European Association of Geochemistry PY - 2023 SP - 20764 UR - https://m2.mtmt.hu/api/publication/34069125 ID - 34069125 LA - English DB - MTMT ER - TY - JOUR AU - Bányai, László AU - Bozsó, István AU - Szűcs, Eszter AU - Gribovszki, Katalin Eszter AU - Wesztergom, Viktor TI - Monitoring Strategy of Geological Hazards Using Integrated Three-dimensional InSAR and GNSS Technologies with Case Study JF - PERIODICA POLYTECHNICA-CIVIL ENGINEERING J2 - PERIOD POLYTECH CIV ENG VL - 67 PY - 2023 IS - 4 SP - 992 EP - 1000 PG - 9 SN - 0553-6626 DO - 10.3311/PPci.20009 UR - https://m2.mtmt.hu/api/publication/34049353 ID - 34049353 AB - Geodetic/geodynamic benchmarks, equipped with both ascending and descending radar corner reflectors, and a method for integrated InSAR and GNSS/GPS network observation were developed and applied as the continuation of the former geodetic monitoring at the Dunaszekcső landslide, Hungary. The attempts to apply InSAR technologies using archive and Sentinel-1 data practically failed on the most intensive landside areas (“Vár” and “Szent János” hills), where proper persistent or distributed scatterers were not found. Our concept solved this problem, where the Simple Look Complex (SLC) images are used to interpolate the movements between two GNSS network observations using the integrated benchmarks and the method of Kalman-filtering. Since the InSAR line-of-sight (LOS) changes are barely sensitive to the north movements, this information is essentially provided by GNSS measurement alone, moreover, the GNSS measurements are used to: a) identify the benchmarks, b) detect the unwrapping errors and missing cycles and c) provide the boundary values of Kalman-filtering.After the installation of benchmarks three GPS observations were carried out and 69 ascending and 61 descending Sentinel-1 A and B images were processed. The data processing properly indicated the general movement history, which fit the curves of former geodetic observations, as well. The dense data points of the East and Up (vertical) components made possible more detailed geomorphologic interpretations of the ongoing process between two GPS observations. During the investigated periods the deceleration of movements was experienced, however, the deceleration of the dormant state needs the continuation of the monitoring. LA - English DB - MTMT ER - TY - CONF AU - Bozóki, Tamás AU - Janusz, Młynarczyk AU - Bór, József AU - Jerzy, Kubisz AU - Bozsó, István AU - Horváth, András AU - Kuslits, Lukács AU - Timkó, Máté TI - ELF-transients detected in the broadband recordings at the Hylaty station in Poland T2 - EGU General Assembly 2023: Abstracts PB - European Geosciences Union (EGU) C1 - München PY - 2023 DO - 10.5194/egusphere-egu23-17102 UR - https://m2.mtmt.hu/api/publication/33797498 ID - 33797498 LA - English DB - MTMT ER - TY - JOUR AU - Rózsa, Szabolcs AU - Ács, Ágnes Mária AU - Ambrus, Bence AU - Bányai, László AU - Békési, Eszter AU - Bozsó, István AU - Égető, Csaba AU - Farkas, Márton AU - Gönczy, Sándor AU - Horváth, Roland AU - Juni, Ildikó AU - Khaldi, Abir AU - Lupsic, Balázs AU - Magyar, Bálint AU - Nagy, Lajos AU - Paláncz, Béla AU - Siki, Zoltán AU - Somogyi, Rita AU - Szakács, Alexandru AU - Szárnya, Csilla AU - Szűcs, Eszter AU - Takács, Bence AU - Tóth, Sándor AU - Turák, Bence Dávid AU - Vanek, Bálint AU - Völgyesi, Lajos AU - Wesztergom, Viktor TI - HUNGARIAN CONTRIBUTION TO THE RESEARCH ON POSITIONING AND APPLICATIONS (2019-2022) – IAG COMMISSION 4 JF - GEOMATIKAI KÖZLEMÉNYEK / PUBLICATIONS IN GEOMATICS J2 - GEOMAT KÖZL VL - 25 PY - 2022 IS - 1 SP - 41 EP - 50 PG - 10 SN - 1419-6492 UR - https://m2.mtmt.hu/api/publication/34190536 ID - 34190536 LA - English DB - MTMT ER -