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001-es BibID:BIBFORM125114
035-os BibID:(Scopus)85201577253 (WOS)001320954600001
Első szerző:Ali EL-Omairi, Mohamed
Cím:Investigation of lineament extraction: Analysis and comparison of digital elevation models in the Ait Semgane region, Morocco / Ali EL-Omairi, Mohamed; El Garouani, Abdelkader; Shebl, Ali
Dátum:2024
ISSN:2352-9385
Megjegyzések:An automated lineament extraction model was successfully applied in the mountainous region of Ait Semgane, Morocco, enabling the identification of geological and tectonic linear features. Our research implemented several approaches including Topographic Position Index (TPI), shading, and Digital Elevation Models (DEMs), as input for the lineament extraction algorithm and applied to various Dems. We aimed to compare all of these strategies to determine the optimal method and the most favorable input DEM. Results revealed variable performance among methods, emphasizing the importance of choosing the optimum method based on specific objectives. TPI and Hillshade methods showed high sensitivity in detecting lineaments, while ALOS PALSAR and Sentinel 1 InSAR datasets were effective for subtle features. Lineament density exhibited specific orientations for highly-dissected zones, with TPI highlighting NE-SW and E-W orientations. Lineament orientations demonstrated consistency with established geology, confirming pre-existing tectonic knowledge. Cartographic analysis of faults emphasized the success of the SRTM DEM model with the TPI method, highlighting significant faults. Results also revealed a concentration of faults in the NW and southern sectors, corroborating bibliographic references and the well-documented tectonic setting of the study area. This automated methodology facilitated lineament extraction in unmapped areas, reinforcing the validity of the undertaken cartographic analysis. ? 2024 The Authors
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Anti-atlas
Automatic extraction
DEMs
Hillshade
Lineaments
Structural deformations
TPI
Megjelenés:Remote Sensing Applications: Society and Environment. - 36 (2024), p. 1-27. -
További szerzők:El Garouani, Abdelkader Shebl, Ali (1992-) (geológus)
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2.

001-es BibID:BIBFORM126013
035-os BibID:(Scopus)85211072489 (WoS)001409273800001
Első szerző:Daoud, Abazar Mohamed Ahmed (földtudományi kutató, geológus, geográfus)
Cím:Remote sensing and gravity investigations for barite detection in Neoproterozoic rocks in the Ariab area, Red Sea Hills, Sudan / Daoud, Abazar M.A.; Shebl, Ali; Abdelkader, Mohamed M.; Mohieldain, Ali Ahmed; Csámer, Árpád; Satti, Albarra M.N.; Rózsa, Péter
Dátum:2024
ISSN:2352-9385
Megjegyzések:The increasing global demand for barite, driven by its geological importance and various industrial applications, advises the scientific community to improve attempts to identify and explore its deposits in different geological settings. This boost in interest aims to ensure sustainable supply by locating new sources and better understanding the conditions in which barite forms. This study presents an integrated approach using multispectral (Landsat 8 & 9, Sentinel-2, and ASTER) and hyperspectral (PRISMA) remote sensing data, along with geophysical gravity data, to improve the localization of barite deposits. Several image processing methods, including false colour composites, principal component analysis, band ratios, minimum noise fraction, and spectral analysis, were employed for the discrimination of barite deposits, revealing their association with felsic rocks (referred to as group C). Additionally, lineament extraction was performed using the recent and advanced different filters like Tilt Angle Horizontal Gradient (TAHG) and Enhanced Horizontal Gradient Amplitude (EHGA) on Bouguer anomalies, highlighting the structural control of barite deposits by the D3 deformation phase. Field investigations were conducted to validate our findings. Based on these field observations, the integrated methodology successfully mapped the distribution of barite and its host rocks, resulting in an updated geological map for barite distribution that can be used in further exploration phases. We strongly recommend the adopted approach and the newly proposed image combinations for preliminary explorations of barite in similar arid terrains.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Barite
Remote sensing
Felsic rocks
Enhanced horizontal gradient amplitude (EHGA)
Bouguer anomalies
Megjelenés:Remote Sensing Applications: Society and Environment. - 37 (2025), p. 1-27. -
További szerzők:Shebl, Ali (1992-) (geológus) Abdelkader Mohamed Mostafa Ahmed (1993-) Mohieldain, Ali Ahmed Csámer Árpád (1976-) (geológus) Satti, Arshad Mehmod Rózsa Péter (1956-) (petrográfus)
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3.

001-es BibID:BIBFORM136563
Első szerző:Sayed, Farouk
Cím:Geological mapping of Neoproterozoic rocks in Zug El-Bohar area, NW Red Sea rift system, Egypt : an integrated hyperspectral remote sensing, petrographic, and geochemical approach / Farouk Sayed, Aya S. Shereif, Ali Shebl, Árpád Csámer, Abdelhalim S. Mahmoud
Dátum:2026
ISSN:2352-9385
Tárgyszavak:idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Remote Sensing Applications: Society and Environment. - 42 (2026), p. 1-29. -
További szerzők:Shereif, Aya S. (1994-) (Geologist) Shebl, Ali (1992-) (geológus) Csámer Árpád (1976-) (geológus) Abdelhalim, S. Mahmoud
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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4.

001-es BibID:BIBFORM096744
035-os BibID:(WoS)000719776500002 (Scopus)85122611662
Első szerző:Shebl, Ali (geológus)
Cím:Reappraisal of DEMs, Radar and optical datasets in lineaments extraction with emphasis on the spatial context / Ali Shebl, Árpád Csámer
Dátum:2021
ISSN:2352-9385
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Remote Sensing Applications: Society and Environment. - 24 (2021), p. 1-12. -
További szerzők:Csámer Árpád (1976-) (geológus)
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5.

001-es BibID:BIBFORM096734
035-os BibID:(WoS)000719811400005 (Scopus)85121579477
Első szerző:Shebl, Ali (geológus)
Cím:Stacked vector multi-source lithologic classification utilizing Machine Learning Algorithms: Data potentiality and dimensionality monitoring / Ali Shebl, Árpád Csámer
Dátum:2021
ISSN:2352-9385
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Remote Sensing Applications: Society and Environment. - 24 (2021), p. 1-9. -
További szerzők:Csámer Árpád (1976-) (geológus)
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6.

001-es BibID:BIBFORM131637
035-os BibID:(WoS)001513085700001 (Scopus)105008084749
Első szerző:Shereif, Aya S. (Geologist)
Cím:Integrated remote sensing and geophysical data for delineating the radioactive mineralization bearing-alteration zones, El-Missikat and El-Erediya areas, Central Eastern Desert, Egypt / Aya S. Shereif, Ali Shebl, Mahmoud Abdellatif, Mohamed A. Abdelkader, Mohamed Badawi, Abdelhalim S. Mahmoud, Árpád Csámer
Dátum:2025
Megjegyzések:Relying exclusively on singular evidence nowadays is mostly insufficient for accurately identifying mineralized zones, particularly those hosting radioactive mineralizations. It is wellestablished that the integration of datasets leads to more reliable outcomes, particularly in the detection of potential mineralization deposits and the accurate discrimination of heterogeneous lithological units. Here, we combined multisource datasets like remote sensing data from Sentinel-2 and hyperspectral PRISMA with airborne geophysical data, encompassing magnetic and radiometric information. This study aims to meticulously investigate and map hydrothermal alteration zones associated with radioactive (uranium) mineralizations within the El-Missikat and El-Erediya regions. To accomplish this objective, satellite imagery underwent meticulous processing through a suite of techniques, including False Color Composites, Principal Component Analysis, Independent Component Analysis, Minimum Noise Fraction, and Band Ratios. Our study meticulously delineated the hydrothermal alteration zones associated with uranium deposition, including hematitization, epidotization, sericitization, and kaolinization. Furthermore, airborne geophysical findings provided insights into the spatial distribution of radioelements. In addition, the aeromagnetic findings highlighted the intricate structures that control mineralizations by depicting their depths via applying Tilt derivative (TD), Euler deconvolution (ED), and also distinctive mineralization sites through Center for exploration targeting (CET) grid analysis. Also, radiometric K/eTh ratio coupled with ternary composite maps of aeroradiometric data demarcated zones displaying potassic alteration that are associated with younger granitoids, proficiently differentiated radioactive mineralized zones, and different rock units, respectively. This integration is augmented through detailed fieldwork, petrographic analysis, and scanning electron microscopy (SEM). The latter confirmed the U-Th-REE-Nb-bearing minerals such as zirconolite, euxenite-(Y) (polycrase-Y), and plumbo-pyrochlore (Pb-pyrochlore). Thus, we strongly advocate for the synergistic integration of remote sensing and geophysical datasets in future investigations to further refine mineral exploration strategies.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Remote Sensing Applications: Society and Environment. - 38 (2025), p. 1-27. -
További szerzők:Shebl, Ali (1992-) (geológus) Abdellatif, Mahmoud Abdelkader Mohamed Mostafa Ahmed (1993-) Badawi, Mohamed Abdelhalim, S. Mahmoud Csámer Árpád (1976-) (geológus)
Pályázati támogatás:Stipendium Hungaricum Scholarship Program
Egyéb
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