TY - CHAP AU - Bokharaeian, Mahsa AU - Novák, Levente AU - Tóth, László AU - Csámer, Árpád TI - Effect of silicic acid on thermal and rheological properties of some lava analog mixtures T2 - XXII International Conference of Young Geologists PY - 2023 SP - 20 EP - 22 PG - 3 UR - https://m2.mtmt.hu/api/publication/34727707 ID - 34727707 LA - English DB - MTMT ER - TY - JOUR AU - Abdel-Rahman, Ahmed M. AU - El-Desoky, Hatem M. AU - Rady, Ali Shebl AU - El-Awny, Hamada AU - Amer, Yahia Z. AU - Csámer, Árpád TI - The geochemistry, origin, and hydrothermal alteration mapping associated with the gold-bearing quartz veins at Hamash district, South Eastern Desert, Egypt JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 13 PY - 2023 IS - 1 PG - 27 SN - 2045-2322 DO - 10.1038/s41598-023-42313-9 UR - https://m2.mtmt.hu/api/publication/34397785 ID - 34397785 AB - Integrating diverse techniques and datasets, significantly enhances the accurate identification of various mineral deposits. This work aims to determine different types of mineral deposits in the Hamash district (Southern Eastern Desert, Egypt) by combining structural features (derived from ALOS PALSAR DEM), alteration zones (detected using ASTER and Sentinel-2), and ore mineralogy. Multispectral imaging, such as ASTER and Sentinel-2 satellite data, provides a cost-effective and efficient tool for lithological and hydrothermal alteration mapping utilizing selective band ratios (SBR), directed principal component analysis (DPCA), feature-oriented false-color composites (FFCC), and constrained energy minimization (CEM). The deductions drawn from the analysis of ASTER and Sentinel 2 satellite data are solidly corroborated through meticulous investigations of pre-existing lithological maps in the study area, on-site validation via fieldwork, and robust laboratory analysis, attesting to reliable results. Validation of remote sensing results was performed through field observations, petrographic investigations, X-ray diffraction technique (XRD), and SEM–EDX analyses. Based on ore mineralogy derived from XRD and SEM results the quartz-vein-associated ore minerals in the Hamash district include chalcopyrite, pyrite, hematite, goethite, bornite, covellite, and gold. According to the present paragenesis, the mineralization in the study area is classified into three types: sulfide mineralized zone, transitional zone, and supergene zone. Using an ore microscope, our studies identified that the alteration zones include gold-bearing sulfide minerals as well as the minerals goethite and malachite. In gold-bearing quartz samples, the concentrations of Cu, As, Ag, and Sb are positively correlated with Au at the degree of shear deformation. According to data gathered from the fire assay results, Au content varied from 0.027 to 57.20 ppm, along with Cu (10–6484 ppm), Ag (0.5–20.5 ppm), As (5–2046 ppm), Zn (3–1095 ppm), Pb (2–1383 ppm), and Sb (5–23). Our results confirmed that the Hamash region is one of the most important gold-bearing sites, with gold concentrations ranging from 0.027 up to 57.20 ppm. Furthermore, the current contribution highlighted four stages in the paragenetic sequence of the recorded ores, including magmatic, metamorphic, hydrothermal, and supergene by origin, indicating a considered similarity with the known Egyptian gold sites regarding host rocks, mineralization style, alteration assemblage, and several ore mineral conditions. LA - English DB - MTMT ER - TY - JOUR AU - Rady, Ali Shebl AU - Abriha, Dávid AU - Fahil, Amr S. AU - El-Dokouny, Hanna A. AU - Elrasheed, Abdelmajeed A. AU - Csámer, Árpád TI - PRISMA hyperspectral data for lithological mapping in the Egyptian Eastern Desert: Evaluating the Support Vector Machine, Random Forest, and XG Boost Machine Learning Algorithms JF - ORE GEOLOGY REVIEWS J2 - ORE GEOL REV VL - 161 PY - 2023 SN - 0169-1368 DO - 10.1016/j.oregeorev.2023.105652 UR - https://m2.mtmt.hu/api/publication/34127620 ID - 34127620 AB - In essence, targeting mineralization necessitates exact structural delineation and thorough lithological mapping. The latter is still a challenge for geologists and its lack hinders meticulous exploration for various mineralizations. Here we show for the first time over a case study from Arabian Nubian Shield (ANS), the application of hyperspectral PRISMA (PRecursore IperSpettrale della Missione Applicativa) data for objective lithological mapping using the well-known Random Forest (RF), XGboost (XGB), and Support Vector Machine (SVM) algorithms. Our results manifested the worthiness of PRISMA data in further lithological mapping, especially with SVM with a resultant accuracy depending mainly on the input data combination. Upon field verification, the current research reveals the usefulness of PRISMA and its preceding four principal components in delivering a detailed lithological map for the study area. Additionally, the eligibility of RF, XGB, and SVM was confirmed in delivering acceptable results. SVM exceeds XGB and RF in their overall accuracy (95 %, 92 %, and 90 % for SVM, XGB, and RF respectively). Our research strongly recommends blending the vantages of Machine Learning Algorithms' (MLAs) objectivity and the wealth of PRISMA spectral coverage for further precise lithological mapping before applicable mineral exploration programs in similar terrains. LA - English DB - MTMT ER - TY - JOUR AU - Bokharaeian, Mahsa AU - Novák, Levente AU - Csámer, Árpád TI - Rheological study of lava flow analog mixtures JF - ACTA GEODYNAMICA ET GEOMATERIALIA J2 - ACTA GEODYN GEOMATER VL - 20 PY - 2023 IS - 1 SP - 11 EP - 18 PG - 8 SN - 1214-9705 DO - 10.13168/AGG.2023.0002 UR - https://m2.mtmt.hu/api/publication/34071765 ID - 34071765 LA - English DB - MTMT ER - TY - JOUR AU - Shebl, Ali AU - El-Desoky, Hatem M. AU - Abdel-Rahman, Ahmed M. AU - Fahmy, Wael AU - El-Awny, Hamada AU - El-Sherif, Anas AU - El-Rahmany, Mahmoud M. AU - Csámer, Árpád TI - Impact of DEMs for Improvement Sentinel 2 Lithological Mapping Utilizing Support Vector Machine: A Case Study of Mineralized Fe-Ti-Rich Gabbroic Rocks from the South Eastern Desert of Egypt JF - MINERALS J2 - MINERALS-BASEL VL - 13 PY - 2023 IS - 6 PG - 36 SN - 2075-163X DO - 10.3390/min13060826 UR - https://m2.mtmt.hu/api/publication/34037424 ID - 34037424 AB - Fused remote sensing datasets have greatly contributed to enhancing lithological targets and providing significant information for mineral exploration. For instance, multispectral datasets can discriminate rock units through their unique spectral signatures. Digital Elevation Models (DEMs) could be an effective tool boosting lithological discrimination based mainly on their topographic variations. Consequently, the current study applied the power of the support vector machine (SVM) algorithm and the integrated Phased Array L-type band Synthetic Aperture Radar (PALSAR) DEM and multispectral Sentinel 2 data to: 1—Create an updated lithological map of a poorly mapped arid terrain (Khashir-Ras El-Kharit district, Eastern Desert of Egypt), and 2—Compare and assess the distribution of ferrogabbros with the aim of improving the localization of these rock bodies and investigating their mineral content. Our results enhanced the lithological mapping and revealed a better generalization of mineralized ferrogabbros when the input was a fused DEM with Sentinel 2 compared to the salt and pepper effect observed when adopting the Sentinel 2 solely as the input data. Additionally, the current research strongly recommends detailed exploration programs for Fe-Ti oxide ores within the gabbroic rocks delineated through the resultant thematic map. The ferrogabbros were subjected to a comprehensive analysis involving whole rock geochemistry, XRD, EDX, and light-reflecting investigations, which revealed the existence of magnetite, titanomagnetite, and hematite. The titanomagnetite crystals display subhedral morphology and exhibit fine- to medium-grained surfaces with irregular shapes. X-ray diffraction (XRD) analysis revealed the presence of magnetite and hematite in the concentrated Fe-Ti oxides. Additionally, the whole rock geochemistry highlighted the origin of the ferrogabbros and their proposed tectonic setting as an alkaline to calc-alkaline magma type that developed in a continental arc setting. LA - English DB - MTMT ER - TY - JOUR AU - Rady, Ali Shebl AU - Abdellatif, Mahmoud AU - Badawi, Mohamed AU - Dawoud, Maher AU - Fahil, Amr S. AU - Csámer, Árpád TI - Towards better delineation of hydrothermal alterations via multi-sensor remote sensing and airborne geophysical data JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 13 PY - 2023 IS - 1 PG - 27 SN - 2045-2322 DO - 10.1038/s41598-023-34531-y UR - https://m2.mtmt.hu/api/publication/33801641 ID - 33801641 AB - Integrating various tools in targeting mineral deposits increases the chance of adequate detection and characterization of mineralization zones. Selecting a convenient dataset is a key for a precise geological and hydrothermal alteration mapping. Remote sensing and airborne geophysical data have proven their efficiency as tools for reliable mineral exploration. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Advanced land imager (ALI), Landsat 8 (L8), and Sentinel 2 data are widely-used data among various types of remote sensing images in resolving lithological and hydrothermal alteration mapping over the last two decades. ASTER is a well-established satellite in geological remote sensing with detailed Short-wave infrared (SWIR) range compared to visible and near-infrared region (VNIR) that controls iron-associated alteration detection. On contrary, ALI has excellent coverage of the VNIR area (6 bands), but does not possess the potentiality of ASTER for the SWIR and thermal regions. Landsat 8 is widely used and highly recommended for lithological and hydrothermal alteration mapping. The higher spatial (up to 10 m) resolution of Sentinel 2 MSI has preserved its role in producing accurate geological mapping. Notwithstanding the foregoing, implementing the four datasets in a single study is time-consuming. Thus, an important question when commencing an exploration project for hydrothermal alterations-related mineralization (orogenic mineral deposits in the current research) is: which dataset should be adopted to fulfill proper and adequate outputs? Here the four widely recommended datasets (ASTER, ALI, L8, and sentinel 2) have been tested by applying the widely-accepted techniques (false color combinations, band ratios, directed principal component analysis, and constrained energy minimization) for geological and hydrothermal alteration mapping of Gabal El Rukham-Gabal Mueilha district, Egypt. The study area is covered mainly by Neoproterozoic heterogeneous collection of ophiolitic components, island arc assemblage, intruded by enormous granitic rocks. Additionally, airborne magnetic and radiometric data were applied and compared with the remote sensing investigations for deciphering the structural and hydrothermal alteration patterns within the study area. The results demonstrated a different extent from one sensor to another, highlighting their varied efficacy in detecting hydrothermal alterations (mainly hydroxyl-bearing alterations and iron oxides). Moreover, the analysis of airborne magnetic and radiometric data showed hydrothermal alteration zones that are consistent with the detected alteration pattern. The coincidence between high magnetic anomalies, high values of the K/eTh ratio, and the resultant alterations confirm the real alteration anomalies. Over and above that, the remote sensing results and airborne geophysical indications were verified with fieldwork and petrographic investigations, and strongly recommend combining ASTER and Sentinel 2 results in further investigations. Based on the outputs of the current research, we expect better hydrothermal alteration delineation by adopting the current findings as they sharply narrow the zones to be further investigated via costly geophysical and geochemical methods in mineral exploration projects. LA - English DB - MTMT ER - TY - CHAP AU - Bokharaeian, Mahsa AU - Naderi, Reza AU - Csámer, Árpád TI - Numerical simulation of Mudflow by SPH method T2 - Az Elmélet És a Gyakorlat Találkozása a Térinformatikában Xiii. Theory Meets Practice in Gis PY - 2022 SP - 83 EP - 88 PG - 6 UR - https://m2.mtmt.hu/api/publication/34727801 ID - 34727801 LA - English DB - MTMT ER - TY - JOUR AU - Abdelkader, Mohamed A. AU - Watanabe, Yasushi AU - Rady, Ali Shebl AU - El-Dokouny, Hanna A. AU - Dawoud, Maher AU - Csámer, Árpád TI - Effective delineation of rare metal-bearing granites from remote sensing data using machine learning methods: A case study from the Umm Naggat Area, Central Eastern Desert, Egypt JF - ORE GEOLOGY REVIEWS J2 - ORE GEOL REV VL - 150 PY - 2022 SN - 0169-1368 DO - 10.1016/j.oregeorev.2022.105184 UR - https://m2.mtmt.hu/api/publication/33252233 ID - 33252233 LA - English DB - MTMT ER - TY - JOUR AU - El-Desoky, Hatem M. AU - Rady, Ali Shebl AU - Abdel-Rahman, Ahmed M. AU - Fahmy, Wael AU - El-Awny, Hamada AU - El-Sherif, Anas M. AU - El-Rahmany, Mahmoud M. AU - Csámer, Árpád TI - Multiscale mineralogical investigations for mineral potentiality mapping of Ras El-Kharit-Wadi Khashir district, Southern Eastern Desert, Egypt JF - Egyptian Journal of Remote Sensing and Space Science J2 - EGYPT J REMOTE SENS VL - 25 PY - 2022 IS - 4 SP - 941 EP - 960 PG - 20 SN - 1110-9823 DO - 10.1016/j.ejrs.2022.09.001 UR - https://m2.mtmt.hu/api/publication/33139762 ID - 33139762 LA - English DB - MTMT ER - TY - JOUR AU - Rady, Ali Shebl AU - Abdelaziz, Mahmoud Ibrahim Mahmoud AU - Ghazala, Hosni AU - Araffa, Sultan Awad Sultan AU - Abdellatif, Mahmoud AU - Csámer, Árpád TI - Multi-criteria ground water potentiality mapping utilizing remote sensing and geophysical data: A case study within Sinai Peninsula, Egypt JF - Egyptian Journal of Remote Sensing and Space Science J2 - EGYPT J REMOTE SENS VL - 25 PY - 2022 IS - 3 SP - 765 EP - 778 PG - 14 SN - 1110-9823 DO - 10.1016/j.ejrs.2022.07.002 UR - https://m2.mtmt.hu/api/publication/32996710 ID - 32996710 LA - English DB - MTMT ER -