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001-es BibID:	BIBFORM078729
035-os BibID:	(WoS)000424760700006 (Scopus)85040974796
Első szerző:	Balázs Boglárka (geográfus)
Cím:	Extracting water-related features using reflectance data and principal component analysis of Landsat images / Boglárka Balázs, Tibor Bíró, Gareth Dyke, Sudhir Kumar Singh, Szilárd Szabó
Dátum:	2018
ISSN:	0262-6667
Megjegyzések:	This study aimed to map water features using a Landsat image rather than traditional land cover. We involved the original bands, spectral indices and principal components (PCs) of a principal component analysis (PCA) as input data, and performed random forest (RF) and support vector machine (SVM) classification with water, saturated soil and non-water categories. The aim was to compare the efficiency of the results based on various input data. Original bands provided 93% overall accuracy (OA) and bands 4?5?7 were the most informative in this analysis. Except for MNDWI (modified normalized differenced water index, with 98% OA), the performance of all water indices was between 60 and 70% (OA). The PCA-based approach conducted on the original bands resulted in the most accurate identification of all classes (with only 1% error in the case of water bodies). We therefore show that both water bodies and saturated soils can be identified successfully using this approach.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk multivariate analysis principal component analysis remote sensing Landsat classification uncertainty analysis spectral index
Megjelenés:	Hydrological Sciences Journal. - 63 : 2 (2018), p. 269-284. -
További szerzők:	Bíró Tibor Dyke, Gareth J. Singh, Sudhir Kumar (1970-) (geográfus) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	TÁMOP 4.2.4.A/2-11-1-2012-0001 TÁMOP SROP-4.2.2.B-15/1/KONV-2015-0001 egyéb NKFIH 108755 egyéb RH/751/2015 egyéb
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001-es BibID:	BIBFORM082566
035-os BibID:	(Scopus)85073502776
Első szerző:	Jakab Gergely
Cím:	Spatial analysis of changes and anomalies of intense rainfalls in Hungary / Gergely Jakab, Tibor Bíró, Zoltán Kovács, Ádám Papp, Ninsawat Sarawut, Zoltán Szalai, Balázs Madarász, Szilárd Szabó
Dátum:	2019
ISSN:	2064-5031 2064-5147
Megjegyzések:	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.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk extreme precipitation climate change soil erosion flash flood pluvial flood
Megjelenés:	Hungarian Geographical Bulletin. - 68 : 3 (2019), p. 241-253. -
További szerzők:	Bíró Tibor Kovács Zoltán (1988-) (geográfus) Papp Ádám Sarawut, Ninsawat Szalai Zoltán Madarász Balázs Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	NKFIH 108755 Egyéb
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001-es BibID:	BIBFORM085419
035-os BibID:	(cikkazonosító)1468 (WOS)000543394000115 (Scopus)85085472067
Első szerző:	Szabó Loránd (geográfus)
Cím:	NDVI as a Proxy for Estimating Sedimentation and Vegetation Spread in Artificial Lakes-Monitoring of Spatial and Temporal Changes by Using Satellite Images Overarching Three Decades / Szabó Loránd, Deák Balázs, Bíró Tibor, Dyke Gareth J., Szabó Szilárd
Dátum:	2020
ISSN:	2072-4292
Megjegyzések:	Observing wetland areas and monitoring changes are crucial to understand hydrological and ecological processes. Sedimentation-induced vegetation spread is a typical process in the succession of lakes endangering these habitats. We aimed to survey the tendencies of vegetation spread of a Hungarian lake using satellite images, and to develop a method to identify the areas of risk. Accordingly, we performed a 33-year long vegetation spread monitoring survey. We used the Normalized Difference Vegetation Index (NDVI) and the Modified Normalized Difference Water Index (MNDWI) to assess vegetation and open water characteristics of the basins. We used these spectral indices to evaluate sedimentation risk of water basins combined with the fact that the most abundant plant species of the basins was the water caltrop (Trapa natans) indicating shallow water. We proposed a 12-scale Level of Sedimentation Risk Index (LoSRI) composed from vegetation cover data derived from satellite images to determine sedimentation risk within any given water basin. We validated our results with average water basin water depth values, which showed an r = 0.6 (p < 0.05) correlation. We also pointed on the most endangered locations of these sedimentation-threatened areas, which can provide crucial information for management planning of water directorates and management organizations.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk remote sensing sedimentation spectral indices time-series analysis vegetation change wetland monitoring
Megjelenés:	Remote Sensing. - 12 : 9 (2020), p. 1-24. -
További szerzők:	Deák Balázs (1978-) (biológus) Bíró Tibor Dyke, Gareth J. Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	NKFIH-1150-6/2019 Egyéb
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001-es BibID:	bibDEK416484
Első szerző:	Szabó Szilárd (geográfus)
Cím:	Hidrológiai modell alkalmazása a tájértékelésben / Szabó szilárd, Bíró Tibor
Dátum:	2003
ISSN:	1788-4497
Tárgyszavak:	Természettudományok Földtudományok magyar nyelvű folyóiratközlemény hazai lapban
Megjelenés:	Acta geographica ac geologica et meteorologica Debrecina. - 36 (2003), p. 141-154. -
További szerzők:	Bíró Tibor
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