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001-es BibID:	BIBFORM078730
Első szerző:	Enyedi Péter (környezettudós)
Cím:	Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model / Péter Enyedi, Melinda Pap, Zoltán Kovács, László Takács-Szilágyi, Szilárd Szabó
Dátum:	2019
ISSN:	1753-8947 1753-8955
Megjegyzések:	The aim of this paper was to study reliable automated delineation possibilities of karst sinkholes using a LiDAR-based digital terrain model (DTM) with pixel-based classifications. We applied two approaches to extract sinkholes: (1) general linear modeling (GLM) with morphometric indices derived from DTM; (2) and a local minima-based delineation using only LiDAR DTM as the input layer. The outcome of the local minima was significantly different from the reference ones but found all the sinkholes without previous knowledge of the area. The GLM-based outcome did not differ statistically from the reference. Results showed that these approaches were efficient in detecting sinkholes based on LIDAR derivatives, and can be used for risk assessment and hazard preparedness in karst areas: GLM had an overall accuracy of 89.5% and local minima had an accuracy of 92.3%; both methods identified sinkholes but also had commission errors, identifying depressions as sinkholes.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban Karst mapping sinkhole identification general linear model statistical evaluation sinkfill
Megjelenés:	International Journal of Digital Earth. - 12 : 9 (2019), p. 1067-1082. -
További szerzők:	Pap Melinda (1982-) (informatikus) Kovács Zoltán (1988-) (geográfus) Takács-Szilágyi László Szabó Szilárd (1974-) (geográfus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM062880
Első szerző:	Szabó Szilárd (geográfus)
Cím:	Automated registration of potential locations for solar energy production with Light Detection And Ranging (LiDAR) and small format photogrammetry / Szilárd Szabó, Péter Enyedi, Miklós Horváth, Zoltán Kovács, Péter Burai, Tamás Csoknyai, Gergely Szabó
Dátum:	2016
ISSN:	0959-6526
Megjegyzések:	Energy production and consumption is a key element in future development which is influenced both bythe technical possibilities available and by decision makers. Sustainability issues are closely linked inwith energy policy, given the desire to increase the proportion of renewable energy. According to theHorizon 2020 climate and energy package, European Union (EU) member countries have to reduce theamount of greenhouse gases they emit by 20%, to increase the proportion of renewable energy to 20%and to improve energy efficiency by 20% by 2020. In this study we aim to assess the opportunitiesavailable to exploit solar radiation on roofs with Light Detection And Ranging (LiDAR) and photogrammetrytechniques. The surveyed areawas in Debrecen, the second largest city in Hungary. An aerial LiDARsurvey was conducted with a density of 12 points/m2, over a 7 1.8 km wide band. We extracted thebuilding and roof models of the buildings from the point cloud. Furthermore, we applied a low-costdrone (DJI Phantom with a GoPro camera) in a smaller area of the LiDAR survey and also created a 3Dmodel: buildings and roof planes were identified with multiresolution segmentation of the digital surfacemodels (DSM) and orthophoto coverages. Building heights and building geometry were alsoextracted and validated in field surveys. 50 buildings were chosen for the geodetic survey and the resultsof the accuracy assessment were extrapolated to other buildings; in addition to this, 100 building heightswere measured. We focused primarily on the roofs, as these surfaces offer possible locations for thermaland photovoltaic equipment. We determined the slope and aspect of roof planes and calculated theincoming solar energy according to roof planes before comparing the results of the point cloud processingof LiDAR data and the segmentation of DSMs. Extracted roof geometries showed varying degreesof accuracy: the research proved that LiDAR-based roof-modelling is the best choice in residential areas,but the results of the drone survey did not differ significantly. Generally, both approaches can be applied,because the solar radiation values calculated were similar. The aerial techniques combined with themultiresolution processing demonstrated can provide a valuable tool to estimate potential solar energy.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban roof plane solar irradiation point cloud multiresolution segmentation drone
Megjelenés:	Journal Of Cleaner Production. - 112 : 5 (2016), p. 3820-3829. -
További szerzők:	Enyedi Péter (1982-) (környezettudós) Horváth Miklós Kovács Zoltán (1988-) (geográfus) Burai Péter (1977-) (agrármérnök) Csoknyai Tamás (1975-) (épületgépész mérnök) Szabó Gergely (1975-) (geográfus)
Pályázati támogatás:	TAMOP-4.2.2.A-11/1/KONV-2012-0041 TAMOP SROP-4.2.2.B-15/1/KONV-2015-0001 SROP
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