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001-es BibID:	BIBFORM108996
035-os BibID:	(WoS)000937647100001 (Scopus)85148634771
Első szerző:	Kenyeres Zoltán
Cím:	Cost-benefit analysis of remote sensing data types for mapping mosquito breeding sites / Zoltán Kenyeres, Norbert Bauer, László Bertalan, Gergely Szabó, András Márkus, Tamás Sáringer-Kenyeres, Szilard Szabó
Dátum:	2023
ISSN:	2366-3286 2366-3294
Megjegyzések:	Environmentally friendly biological mosquito control by Bacillus thuringiensis var. israelensis formulations needs appropriate breeding maps. The mapping accuracy depends on the quality of the used remote sensing data. Further, the mapping is expected to be cost-efective. Our aim was to study the efect of the quality of various remote sensing data on the applicability of the maps. We depicted larval habitats by manual interpretation in Quantum GIS 3.16.1 software using remote sensing data of SENTINEL, Google Earth, commercial geoTIFF RGB orthophoto, individual unoccupied aerial systems (UAS) RGB, and multispectral mosaics. Based on our results, after classifcation of the target area by sorting, mixed-use of remote sensing data is required to achieve a highly cost-efcient mapping: RGB aerial photographs with 0.5 m per pixel resolution can be used efciently in areas dominated by grassland habitats, while forest areas need customised footage taken by UAS or drones during the foliage-free period (15 cm per pixel resolution, multispectral technique). Our cost-beneft analysis showed that the aim-optimised method could reduce investment to 6-8% and the cost of data collection to 20-50% of the highest budget. This result is signifcant for all participants of biological mosquito control.
Tárgyszavak:	Természettudományok Környezettudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Satellite MSI RGB Biological control UAS
Megjelenés:	Spatial Information Research. - 31 : 2 (2023), p.1-10. -
További szerzők:	Bauer Norbert Bertalan László (1989-) (geográfus) Szabó Gergely (1975-) (geográfus) Márkus András Sáringer-Kenyeres Tamás Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	TKP2020-IKA-04 Egyéb TKP2020-NKA-04 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM110848
035-os BibID:	(WoS)000963567500001 (Scopus)85152067165
Első szerző:	Maleki, Mohammad
Cím:	GIS-based sinkhole susceptibility mapping using the best worst method / Mohammad, Maleki, Mohammad Salman, Saeideh Sahebi Vayghan, Szilard Szabo
Dátum:	2023
ISSN:	2366-3286 2366-3294
Megjegyzések:	Sinkholes are among karst forms and their formation is continuous and their identification is essential in several fields of life, such as water resources management, environmental hazards management, and tourism. This study aimed to identify the sinkholes and the sinkhole susceptibility in the Bistoon-Parav karst region, Iran. Ten sinkhole causative factors, precipitation, temperature, evaporation, lithology, soil type, slope, latitude, fault, stream and vegetation were involved in the sinkhole susceptibility model applying the best worst method, and we also determined the importance of the factors. The final sinkhole susceptibility map was produced by the weighted summing up the factors based on the variable importance. Lithology was the most important factor with 31.52% in the formation of sinkholes. The validation step was executed with a sinkhole database based on visual interpretation of high-resolution imagery. Finally, the receiver operating characteristic (ROC), completeness, correctness and quality index were applied to validate the performance of the sinkhole susceptibility map model. According to the validation parameters, the value of the ROC, completeness, correctness and quality was 81.90%, 100%, 59.41% and 59.41%, respectively. Thus, it can be said that the produced model shows acceptable performances for sinkhole susceptibility mapping. Also, this model showed that almost 7.4% of the region has the potential to become a sinkhole in the future.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk karst sinkhole Bistoon-Parav Susceptability BWM
Megjelenés:	Spatial Information Research. - [Epub ahead of print] : - (2023), p. 1-9. -
További szerzők:	Salman, Mohammad Vayghan, Saeideh Sahebi Szabó Szilárd (1974-) (geográfus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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