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001-es BibID:	BIBFORM125617
Első szerző:	Abdelmajeed, Adam Elrasheed Ali (Geologist)
Cím:	Spectra Analysis of PRISMA for Detecting Iron Alteration Zones Associated with Gold Mineralization in Red Sea Hills N-E Sudan / Abdelmajeed A. Elrasheed, Mohammadreza Ojani, Zeynab Kougir Chegini, Abazar M. A. Daoud, Musa. M. M. Mina, Szabó Szilárd
Dátum:	2024
Megjegyzések:	This work presents a comprehensive study utilizing Precursore Iperspettrale della Missione Applicativa (PRISMA) hyperspectral imagery in detecting and mapping iron alteration zones associated with gold mineralization in the Red Sea Hills of North-eastern Sudan. The application of hyperspectral color composite and bands rationing techniques aids in enhancing spectral signatures indicative of mineral alterations, thereby facilitating accurate mapping of potential gold mineralization zones. Our study employs a systematic approaches (colour composite and band ratio) integrating field data collection and advanced spectral analysis techniques to characterize and map alteration zones. Band ratios band 30/ band 20 (0.637 ? 0.551 ?m) and band 20 / band 9 (0.551 ? 0.468 ?m) obtained best result. The results demonstrate the effectiveness of PRISMA hyperspectral data for delineating gold mineralization-related iron alteration zones, thus offering valuable insights for mineral exploration in the region.
ISBN:	978-963-490-619-3
Tárgyszavak:	Természettudományok Földtudományok előadáskivonat könyvrészlet PRISMA Iron alteration Band ratio Red Sea Hills
Megjelenés:	Az elmélet és a gyakorlat találkozása a térinformatikában = Theory meets practice in GIS : Debreceni Egyetem Térinformatikai Konferencia és Szakkiállítás / szerk. Abriha-Molnár Vanda Éva. - p. 99-106. -
További szerzők:	Ojani, Mohammadreza (1990-) Zeynab Kougir Chegini Daoud Abazar Mohamed Ahmed (1991-) (földtudományi kutató, geológus, geográfus) Musa. M. M. Mina Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	NKFI K138079 Other
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001-es BibID:	BIBFORM134107
Első szerző:	Daoud Abazar Mohamed Ahmed (földtudományi kutató, geológus, geográfus)
Cím:	Comprehensive hazard susceptibility assessment in Port Sudan city usingAHP: emphasizing flash flood risk, soil moisture, and salinity dynamics / Daoud, Abazar M. A. ; Abir, Mohammed Noor A. M. ; Kazem, Mahmoud M. ; Satti, Albarra M. N. ; Shebl, Ali ; Mohamed, Musaab A. A. ; Agyemfra, George Joel ; Elrasheed, Abdelmajeed A. ; Csámer, Árpád ; Rózsa, Péter
Dátum:	2025
ISSN:	1947-5705 1947-5713
Megjegyzések:	Natural hazards threaten ecosystems, societies, and infrastructure, especially in rapidly urbanizing areas. Port Sudan City, on the Red Sea coast near the Red Sea Hills, is vulnerable to flash floods, soil collapse from salinity, and variable soil moisture, affecting sustainable land use. This study develops a hazard susceptibility assessment using the Analytic Hierarchy Process (AHP) and geospatial analysis. Factors including elevation, slope, curvature, geology, land use/cover (LULC), drainage density, salinity, and soil moisture were integrated into an AHP-based multi-criteria framework. Satellite data (Landsat 8 OLI, Sentinel?2) provided indices such as NDVI, LSE, LST, and SMI. Four factor groups were analyzed: (i) hydro-meteorological factors driving floods; (ii) soil-related factors causing infrastructure damage; (iii) terrain factors increasing rockfall risk; and (iv) LULC and geology-related factors. An integrated hazard map was validated with field surveys and lab analyses. Flood risk had the highest AHP weight, followed by salinity and soil moisture. Southern areas, including the airport and Bashair Terminal, are highly flood-prone; the 2024 Arbaat Dam collapse increased northern flood risk. Shoreline areas face salinity and moisture hazards, while western steep terrain is prone to rockfalls. Results highlight the need for updated hazard maps, better drainage, and sustainable land-use planning.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Analytic hierarchy process multi-hazard susceptibility mapping flash flood soil salinity soil moisture Port Sudan
Megjelenés:	Geomatics, Natural Hazards and Risk. - 16 : 1 (2025), p. 1-32. -
További szerzők:	Abir, Mohammed Noor A. M. Kazem, Mahmoud M. Satti, Albarra Shebl, Ali (1992-) (geológus) Mohamed, Musaab Adam Ahmed (1990-) (geologist) Agyemfra, George Joel Abdelmajeed, Adam Elrasheed Ali (1988-) (Geologist) Csámer Árpád (1976-) (geológus) Rózsa Péter (1956-) (petrográfus)
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001-es BibID:	BIBFORM131916
035-os BibID:	(Scopus)105013101506 (WoS)001559258400001
Első szerző:	Daoud Abazar Mohamed Ahmed (földtudományi kutató, geológus, geográfus)
Cím:	Machine Learning-Based Lithological Mapping and Mineral Prospecting Using Hyperspectral and Multispectral Remote Sensing in Wadi Halfa, North Sudan / Abazar M. A. Daoud, Ali Shebl, Mutwakil Nafi, Abdelmajeed A. Elrasheed, Arpád Csámer, Péter Rozsa
Dátum:	2025
ISSN:	1464-343X
Megjegyzések:	At present, the global demand for mineral resources is critical, leading nations to focus on exploration. Remote sensing is a cost-effective tool, especially in harsh terrains. This study conducted lithological mapping in Wadi Halfa, North Sudan, using algorithm-based remote sensing, field observations, and petrographical analysis to detect iron ore and barite deposits. Multisensor optical datasets (L9, L8, and S2) were integrated to effectively delineate the lithological units. In addition, PRISMA hyperspectral data, with its detailed spectral signatures, improved spatial distribution patterns of barite and iron oxides across the study area. Image processing techniques (false colour composites, principal component analysis, minimum noise friction, band ratios) detected hydroxyl-bearing minerals, ferric, and ferrous oxides. Support Vector Machine (SVM), Artificial Neural Network (ANN), and Mahalanobis Distance Classifier (MDC) achieved overall accuracies of 95.51 %, 94.59 %, and 98.99 %, respectively. The study helped interpret the spatial relationship between barite and iron oxides. Four types of iron ore with more than three distinct layers were identified, including (a) oolitic ironstone, (b) ferruginous sandstone, (c) ferruginous ironstone, and (d) Banded Iron Formation (BIF) during field investigations, petrographic examinations, and chemical analysis validated remote sensing findings, revealing iron ore (62.7 % Fe) and barite (63.9 % Ba) concentrations. An economic assessment confirmed the presence of economic reserves suitable for exploitation. This research is recommended for broader application, particularly in machine learning for delineating iron ore and barite deposits in complex sedimentary sequences. The realization of machine learning algorithms emphasizes their potential to enhance lithological mapping in sedimentary sequences, suggesting a promising direction for future research.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Support vector machine Artificial neural network Mahalanobis Iron ore Barite Economic reserves
Megjelenés:	Journal Of African Earth Sciences. - 232 (2025), p. 1-22. -
További szerzők:	Shebl, Ali (1992-) (geológus) Nafi, Mutwakil Abdelmajeed, Adam Elrasheed Ali (1988-) (Geologist) Csámer Árpád (1976-) (geológus) Rózsa Péter (1956-) (petrográfus)
Pályázati támogatás:	Stipendium Hungaricum Scholarship Program Egyéb
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001-es BibID:	BIBFORM124593
Első szerző:	Daoud Abazar Mohamed Ahmed (földtudományi kutató, geológus, geográfus)
Cím:	Landsat 8 and Sentinel 2 for Detecting Hydrothermal Barite Deposits in Red Sea Hills, Sudan / Abazar M. A. Daoud, Ali Ahmed Mohieldain, Abdelmajeed A. Elrasheed, Peter Rozsa
Dátum:	2024
Megjegyzések:	Barite rocks often occur as hydrothermal veins in association with gold, copper, lead, and silver mineralization within felsic rocks in Red Sea Hills. The present study used the integration of Landsat 8, Sentinel 2, and field observations for mapping hydrothermal massive barite deposits in the Ariab District, within the Red Sea Hills, Sudan. Different techniques include false color composites, principal component analysis, and band ratios for visible near-infrared (VNIR), shortwave infrared (SWIR), and thermal infrared (TIR) used for the detection of iron sulfate minerals (2/1) ? (5/4) in L8, silica-rich rocks (7/6), hydroxyl-bearing minerals (6/7), ferric (4/2) in L8 and (11/8A) in S2, and ferrous iron oxides (5/6), (B12/B8A) + (B3/B4) in L8 and S2 respectively. This primary research contributes to the advancement of remote sensing methods for mineral exploration and underscores the significance of satellite-based techniques in mapping barite deposits. For future research, we are supposed to use further integration of shortwave infrared of L8, S2, and thermal infrared ASTER with the PRISMA spectral analysis, airborne geophysical methods, and detailed field observations with detailed structural and mineralogical investigations for more accuracy.
ISBN:	978-963-490-619-3
Tárgyszavak:	Természettudományok Földtudományok tanulmány, értekezés könyvrészlet Barite Landsat 8 Sentinel 2 iron sulfate minerals silica-rich rocks hydroxyl-bearing minerals ferric and ferrous iron oxides
Megjelenés:	Az elmélet és a gyakorlat találkozása a térinformatikában XV. / szerk. Abriha-Molnár Vanda Éva. - p. 91-98. -
További szerzők:	Mohieldain, Ali Ahmed Abdelmajeed, Adam Elrasheed Ali (1988-) (Geologist) Rózsa Péter (1956-) (petrográfus)
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