Találati lista | Tudóstér

001-es BibID:	BIBFORM084706
035-os BibID:	(cikkazonosító)2063
Első szerző:	Szabó Zsuzsanna (környezetgazdálkodási és vidékfejlesztési agrármérnök)
Cím:	Aerial Laser Scanning Data as a Source of Terrain Modeling in a Fluvial Environment: Biasing Factors of Terrain Height Accuracy / Szabó Zsuzsanna, Tóth Csaba Albert, Holb Imre, Szabó Szilárd
Dátum:	2020
ISSN:	1424-8220 1424-8220
Megjegyzések:	Airborne light detection and ranging (LiDAR) scanning is a commonly used technology for representing the topographic terrain. As LiDAR point clouds include all surface features present in the terrain, one of the key elements for generating a digital terrain model (DTM) is the separation of the ground points. In this study, we intended to reveal the efficiency of different denoising approaches and an easy-to-use ground point classification technique in a floodplain with fluvial forms. We analyzed a point cloud from the perspective of the efficiency of noise reduction, parametrizing a ground point classifier (cloth simulation filter, CSF), interpolation methods and resolutions. Noise filtering resulted a wide range of point numbers in the models, and the number of points had moderate correlation with the mean accuracies (r = ?0.65, p < 0.05), indicating that greater numbers of points had larger errors. The smallest differences belonged to the neighborhood-based noise filtering and the larger cloth size (5) and the smaller threshold value (0.2). The most accurate model was generated with the natural neighbor interpolation with the cloth size of 5 and the threshold of 0.2. These results can serve as a guide for researchers using point clouds when considering the steps of data preparation, classification, or interpolation in a flat terrain.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk floodplain noise filtering interpolation Cloth Simulation Filter (CSF)
Megjelenés:	Sensors. - 20 : 7 (2020), p. 1-18. -
További szerzők:	Tóth Csaba Albert (1971-) (geográfus) Holb Imre (1973-) (agrármérnök) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	KH 130427 OTKA TKP ED_18-1-2019-0028 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM083813
035-os BibID:	(cikkazonosító)563 (Scopus)85081747794 (WoS)000519846500254
Első szerző:	Szabó Zsuzsanna (környezetgazdálkodási és vidékfejlesztési agrármérnök)
Cím:	Geomorphology as a Driver of Heavy Metal Accumulation Patterns in a Floodplain / Szabó Zsuzsanna, Buró Botond, Szabó József, Tóth Csaba Albert, Baranyai Edina, Herman Petra, Prokisch József, Tomor Tamás, Szabó Szilárd
Dátum:	2020
ISSN:	2073-4441
Megjegyzések:	The spatial complexity of floodplains is a function of several processes: hydrodynamics, flow direction, sediment transportation, and land use. Sediments can bind toxic elements, and as there are several pollution sources, the risk of heavy metal accumulation on the floodplains is high. We aimed to determine whether fluvial forms have a role in metal accumulations. Topsoil samples were taken from point bars and swales in the floodplain of the Tisza River, North-East Hungary. Soil properties and metal concentrations were determined, and correlation and hypothesis testing were applied. The results showed that fluvial forms are important drivers of horizontal metal patterns: there were significant differences (p < 0.05) between point bars and swales regarding Fe, K, Mg, Mn, Cr, Cu, Ni, Pb, and Zn. Vertical distribution also differed significantly by fluvial forms: swales had higher metal concentrations in all layers. General Linear Models had different results for macro and micro elements: macro element concentrations were determined by the organic matter, while for micro elements the clay content and the forms were significant explanatory variables. These findings are important for land managers and farmers because heavy metal concentration has a direct impact on living organisms, and the risk of bioaccumulation can be high on floodplains.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk fluvial landforms swale point bar topsoil samples vertical contamination General Linear Model (GLM)
Megjelenés:	Water. - 12 : 2 (2020), p. 1-16. -
További szerzők:	Buró Botond (1986-) (geográfus) Szabó József (1940-) (geográfus) Tóth Csaba Albert (1971-) (geográfus) Baranyai Edina (1987-) (környezetkutató) Herman Petra (1994-) (környezetkutató) Prokisch József (1966-) (vegyész) Tomor Tamás (1976-) (geográfus) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	GINOP-2.3.2-15-2016-00009'ICER' Egyéb ÚNKP-18-3 New National Excellence Program of the Ministry of Human Capacities Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM070788
Első szerző:	Szabó Zsuzsanna (környezetgazdálkodási és vidékfejlesztési agrármérnök)
Cím:	Airborne LiDAR point cloud in mapping of fluvial forms : a case study of a Hungarian floodplain / Szabó Zsuzsanna, Tóth Csaba Albert, Tomor Tamás, Szabó Szilárd
Dátum:	2017
ISSN:	1548-1603 1943-7226
Megjegyzések:	The aim of this paper was to analyse the ground and low vegetation points of a LiDAR point cloud from the aspect of the generated digital terrain model (DTM). We determined the height difference between the surveyed surface and the DTM and the level of interspersion of ground and low vegetation points in a floodplain. Finally, we performed a supervised classification with topographic (elevation, slope, aspect) variables and an NDVI layer to identify swales and point bars as floodplain forms. Cross sections of field surveys provided reference data to express the magnitude of the bias on the DTM caused by the vegetation, and we proved that the bias can reach the 60% of the relative height and depth of the floodplain forms (mean error was 0.15?0.12 m). A contagion type landscape metric, the Aggregation Index, provided an appropriate tool to analyse and quantify the interspersion of the ground and vegetation points: indicating a high level of interspersion of the classified points, i.e. proved that vegetation points where the last echoes reflected from the vegetation became ground points. Floodplain classification performed best with the common use of DTM, slope, aspect and NDVI coverages, with 71% overall accuracy.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban geomorphology fluvial landform point cloud; landscape indices landscape indices Aggregation Index
Megjelenés:	GIScience & Remote Sensing. - 54 : 6 (2017), p. 862-880. -
További szerzők:	Tóth Csaba Albert (1971-) (geográfus) Tomor Tamás (1976-) (geográfus) Szabó Szilárd (1974-) (geográfus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: