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1.

001-es BibID:BIBFORM133235
Első szerző:Abdelkader Mohamed Mostafa Ahmed
Cím:Improving landslide susceptibility mapping: The role of non-landslide sample selection in machine learning models / Mohamed M. Abdelkader, Abazar M.A. Daoud, Amr Gouda Abdel-Gawad, Árpád Csámer
Dátum:2025
ISSN:2352-9385
Megjegyzések:The reliability of Landslide susceptibility mapping (LSM) remains under investigation, as landslides are significant global catastrophic events that result in loss of lives and infrastructures. This study investigates the impact of non-landslide sampling approaches on accurate LSM. In this study, we used Random Forest (RF) and XGBoost, and seven scenarios (random selection method, buffer method with four different ranges, slope-based method, and Modified Information Value (MIV) based method) were applied to select non-landslide samples. This study has been done on an area located east to Helwan city, Egypt which has a complex environment and a high probability of landslides. A total of 183 locations related to landslide risks were identified in the study area. Fourteen conditioning factors related to topography, geology, hydrology, human activity, and environmental characteristics were used as input data. A total of 14 LSMs were produced for each sampling strategy using the RF and XGBoost models. To assess the accuracy and reliability of each scenario, various evaluation metrics have been used including the receiver operating characteristic (ROC) curve and the area under the curve (AUC), accuracy, precision, recall, specificity, and F1-score. The results showed that the integration of MIV-based with RF provides a more accurate model (AUC = 0.97, accuracy = 0.94, F1-score = 0.93) higher than the other sampling method. These findings provide a valuable visions for decision-makers and researchers seeking to conduct more realistic landslide susceptibility assessments.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Landslide Susceptibility
Random Forest
XGBoost
non-landslide sampling
SHAP
Megjelenés:Remote Sensing Applications: Society and Environment. - 40 (2025). -
További szerzők:Daoud, Abazar Mohamed Ahmed (1991-) (földtudományi kutató, geológus, geográfus) Abdel-Gawad, Amr Gouda Csámer Árpád (1976-) (geológus)
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2.

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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3.

001-es BibID:BIBFORM132361
Első szerző:Asghede, Kabral Mogos (Hydrogeologist)
Cím:Development of a Litho-Structural Map for the Upper Mereb Area, Eritrea, Using Multi-Source Remote Sensing Data and Machine Learning Models / Kabral Mogos Asghede, Abazar M.A. Daoud, Musaab A.A. Mohammed, Woldegabriel Genzebu, Kefela Beyene Kiflay, Péter Pecsmány, János Vágó
Dátum:2025
ISSN:2352-9385
Megjegyzések:The Upper Mereb catchment area, located on the Southern zone of Eritrea, is a geologically complex region within the Arabian-Nubian Shield (ANS). The area's intricate litho-structural framework presents significant challenges for mineral exploration and groundwater investigations. Traditional geological mapping techniques often struggle to capture the fine-scale structural details necessary for resource assessments in such complex terrains. This study introduces a novel, high-resolution litho-structural mapping approach, integrating Landsat 9 (L9) multispectral data and gravity data with advanced machine learning algorithms, specifically Artificial Neural Networks (ANN) and Support Vector Machines (SVM). The classification results indicate that ANN outperforms SVM, achieving an accuracy exceeding 79%, demonstrating the effectiveness of machine learning in distinguishing lithological units. Furthermore, detailed field investigations validate the accuracy of the litho-structural map, showing strong correlations with ground-truth data. A key component of this study is the structural analysis of lineament orientations, which provides critical insights into the tectonic evolution of the region. The Pan-African orogeny has significantly influenced the structural framework, with dominant NE-SW compressional forces creations the fracture patterns. The identified lineaments fall into three primary sets: NW-SE extensional fractures, indicative of crustal stretching; NE-SW release fractures, reflecting zones of stress relaxation; and N-S shear fractures, formed under oblique stress conditions. These structural features highlight the region's complex deformation history and provide essential information for understanding subsurface fluid flow and resource potential. This study represents the first comprehensive application of an integrated remote sensing and geophysical machine learning approach to geological mapping in the Upper Mereb area. The results emphasize the potential of hybrid remote sensing and geophysical data fusion for enhancing structural interpretations, offering a powerful tool for mineral exploration, groundwater assessments, and tectonic studies in the Arabian-Nubian Shield.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Machine learning
remote sensing
gravity
structural analysis
geological mapping
Megjelenés:Remote Sensing Applications: Society and Environment. - 40 (2025). -
További szerzők:Daoud, Abazar Mohamed Ahmed (1991-) (földtudományi kutató, geológus, geográfus) Mohammed, Musaab A. A. (1990-) (Hydrogeologist) Genzebu, Woldegabriel Kiflay, Kefela Beyene (1990-) (geologist) Pecsmány Péter (1993-) (geológus) Vágó János (1979) (geológus)
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4.

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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5.

001-es BibID:BIBFORM107208
035-os BibID:(WoS)000872370100001 (Scopus)85140010447
Első szerző:El-Desoky, Hatem M.
Cím:Multiscale mineralogical investigations for mineral potentiality mapping of Ras El-Kharit-Wadi Khashir district, Southern Eastern Desert, Egypt / Hatem M. El-Desoky, Ali Shebl, Ahmed M. Abdel-Rahman, Wael Fahmy, Hamada El-Awny, Anas M. El-Sherif, Mahmoud M. El-Rahmany, Árpád Csámer
Dátum:2022
ISSN:1110-9823 2090-2476
Megjegyzések:Through various scales of observation, ranging from remote sensing data, field investigations, hand specimens, microscopic petrographic examinations, XRD, to SEM, indicators of various mineralization types are highlighted in Ras El-kharit-wadi Khashir (Eastern Desert, Egypt). Systematic remote sensing explo- ration of the mineralized zones is performed through integrating Sentinel 2 and ASTER datasets. False- color combinations, informative band ratios, relative absorption band depth, and CEM techniques were applied to discriminate rock units and various types of hydrothermal alterations. Moreover, ALOS PALSAR DEM was utilized to decipher the structural lineaments. Intensive field investigations confirmed hydrothermally altered zones that were picked out through remote sensing analysis and revealed that the study area is affected by cataclastic metamorphism to some extent. Magmatic and metamorphic rock types are represented by propylitic, phyllic, argillic, and silicification zones. Sericitization, chloritization, epidotization, kaolinitization, carbonatization, and silicification are recorded utilizing petrographic and remote sensing investigations. Moreover, the current study reveals that the detected alteration is the main reason for the apparent wide range of petrographic characteristics of each rock type and bearing several opaque minerals, such as pyrite, magnetite, titanomagnetite, chalcopyrite, arsenopyrite, covellite, galena, goethite, and hematite. Most of these opaques were identified using ore microscopy, XRD, and SEM. The distribution of hydrothermal alterations, representative samples bearing mineralization, structurally dissected zones are integrated to build a mineral potentiality map of the study area. The resultant MPM was confirmed via field survey and emphasized the usefulness of the current integrated approach besides highlighting about 125 km2 as potential mineralized zones.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Sentinel 2
ASTER
Hydrothermal alteration
Ore mineralogy
Eastern desert
Megjelenés:Egyptian Journal of Remote Sensing and Space Science. - 25 : 4 (2022), p. 941-960. -
További szerzők:Shebl, Ali (1992-) (geológus) Abdel-Rahman, Ahmed M. Fahmy, Wael El-Awny, Hamada El-Sherif, Anas M. El-Rahmany, Mahmoud M. Csámer Árpád (1976-) (geológus)
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6.

001-es BibID:BIBFORM116346
035-os BibID:(WoS)001099572900001 (Scopus)85176313530
Első szerző:Ghoneim, Eman
Cím:Integration of Geophysical and Geospatial Techniques to Evaluate Geothermal Energy at Siwa Oasis, Western Desert, Egypt / Eman Ghoneim, Colleen Healey, Mohamed Hemida, Ali Shebl, Amr Fahil
Dátum:2023
ISSN:2072-4292
Megjegyzések:Environmental degradation is reducing crop productivity in many regions of Egypt. Moreover, unsustainable surface water drainage contributes to salinized soil conditions, which negatively impact crops. Egypt is seeking solutions to mitigate the problem of surface water drawdown and its consequences by exploring renewable and sustainable sources of energy. Geothermal energy and the desalination of saline water represent the only solutions to overcoming the fresh water shortage in agricultural industry and to providing sustainable fresh water and electricity to villages and the Bedouin livelihood. In Egypt, the Siwa Oasis contains a cluster of thermal springs, making the area an ideal location for geothermal exploration. Some of these thermal springs are characterized by high surface temperatures reaching 20 degrees C to 40 degrees C, and the bottom-hole temperatures (BHT) range from 21 degrees C to 121.7 degrees C. Pre-Cambrian basement rocks are usually more than 440 m deep, ranging from 440 m to 4724.4 m deep. It is this feature that makes the Siwa Oasis locality sufficient for geothermal power production and industrial processes. This study utilized both the Horner and the Gulf of Mexico correction methods to determine the formation temperatures from BHT data acquired from 27 deep oil wells. The present study revealed a geothermal gradient ranging from 18 to 42 degrees C/km, a heat flux of 24.7-111.3 mW/m2, and a thermal conductivity of 1.3-2.65 W/m/k. The derived geothermal, geophysical, and geological layers were combined together with space data and the topographic layer to map relevant physiographic variables including land surface elevation, depth to basement, lineament density, land surface temperature, and geologic rock units. The ten produced variables were integrated in GIS to model the geothermal potential map (GTP) for the Siwa Oasis region. According to the model, both the eastern side and north and northeastern portions of the study region contain high and very high geothermal potential energy. Combining bottom-hole temperature measurements with satellite remote sensing and geospatial analysis can considerably enhance geothermal prospecting in Egypt and other East African areas that have geologically and tectonically similar settings. In addition to identifying sustainable resources needed for food production, this research has implications for renewable energy resources as well.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
geothermal gradient
geothermal potential
GIS modeling
heat flow
North Africa
remote sensing data
thermal conductivity
Megjelenés:Remote Sensing. - 15 : 21 (2023), p.1-19. -
További szerzők:Healey, Colleen Hemida, Mohamed Shebl, Ali (1992-) (geológus) Fahil, Amr S.
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7.

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
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8.

001-es BibID:BIBFORM122872
035-os BibID:(Scopus)85198523799 (WoS)001271988500001
Első szerző:Shebl, Ali (geológus)
Cím:PRISMA vs. Landsat 9 in lithological mapping - a K-fold Cross-Validation implementation with Random Forest / Ali Shebl, Dávid Abriha, Maher Dawoud, Mosaad Ali Hussein Ali, Arpád Csámer
Dátum:2024
ISSN:1110-9823 2090-2476
Megjegyzések:The selection of an optimal dataset is crucial for successful remote sensing analysis. The PRISMA hyperspectral sensor (with 240 spectral bands) and Landsat OLI-2 (boasting high dynamic resolution) offer robust data for various remote sensing applications, anticipating their increased demand in the coming years. However, despite their potential, we have not identified a rigorous evaluation of both datasets in geological applications utilizing Machine Learning Algorithms. Consequently, we conduct a comprehensive analysis using Random Forest, a widely-recommended machine learning algorithm, and employ K-fold cross-validation (with K = 2, 5, 10) with grid-search hyperparameter tuning for enhanced performance. Toward this aim, diverse image-processing ap- proaches, including Principal Component Analysis (PCA), Minimum Noise Fraction (MNF), and Independent Component Analysis (ICA), were applied to enhance feature selection and extraction. Subsequently, to ensure better performance of the RF algorithm, this study utilized well-distributed points instead of polygons to represent each target, thereby mitigating the effects of spatial autocorrelation. Our results reveal dataset- hyperparameter dependencies, with PRISMA mainly influenced by max_depth and Landsat 9 by max_features. Employing grid-search optimally balances dataset characteristics and data splitting (folds), generating accurate lithological maps across all K values. Notably, a significant hyperparameter shift at K = 10 produces the best lithological maps. Fieldwork and petrographic investigations validate the lithological maps, indicating PRISMA's slight superiority over Landsat OLI-2. Despite this, given the dataset nature and band count difference, we still advocate Landsat 9 as a potent multispectral input for future applications due to its superior radiometric resolution.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
PRISMA
Landsat 9
Random forest
Geological mapping
Megjelenés:Egyptian Journal of Remote Sensing and Space Science. - 27 : 3 (2024), p. 577-596. -
További szerzők:Abriha Dávid (1995-) (geográfus) Dawoud, Maher Ali Hussein Ali, Mosaad Csámer Árpád (1976-) (geológus)
Pályázati támogatás:K138079
NKFIH
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9.

001-es BibID:BIBFORM102809
035-os BibID:(Scopus)85134332656 (WoS)000863998700003
Első szerző:Shebl, Ali (geológus)
Cím:Multi-criteria ground water potentiality mapping utilizing remote sensing and geophysical data: A case study within Sinai Peninsula, Egypt / Ali Shebl, Mahmoud Ibrahim Abdelaziz, Hosni Ghazala, Sultan Awad Sultan Araffa, Mahmoud Abdellatif, Árpád Csámer
Dátum:2022
ISSN:1110-9823 2090-2476
Megjegyzések:Groundwater demand has dramatically increased due to the swift demographic explosion, especially in arid areas, where groundwater is considered the main source for all purposes. Thus, this research integrates climatological, lithological, structural, topographical, hydro-morphological, and geoelectrical data to explore groundwater potential zones in the central part of Sinai Peninsula, Egypt using the GIS-based Analytic Hierarchy Process (AHP). Seven thematic layers of soil moisture, rainfall, normalized difference vegetation index, drainage density, lineament density, slope, and land use/land cover were built from different remote sensing data sets. The eighth layer represents a high-resolution lithological map of the study area, constructed utilizing the power of the support vector machine over Sentinel 2 data and accurately assessed with a previously published geological map. Ground Water Potentiality Map (GWPM) was constructed and highlighted four main areas as promising zones. Comprehensive geoelectrical analysis was executed through seventeen deep vertical electrical soundings (VESs) using Schlumberger configuration, isoresistivity mapping, and geoelectric cross-sections along five different profiles. 3D view of the studied area's subsurface geological and structural pattern with groundwater flow direction specification, and adequate aquifer characterization, revealed four main geoelectrical units. Geoelectrical data results reasonably coincided with remote sensing data findings in highlighting three freshwater potential zones. Furthermore, the study strongly recommends integrating low-cost remote sensing datasets in narrowing the zone to be intensively investigated using further costly geophysical approaches or drilling test boreholes.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Ground water prospecting
Analytic hierarchy process
Sentinel 2
Geoelectric data
Megjelenés:Egyptian Journal of Remote Sensing and Space Science. - 25 : 3 (2022), p. 765-778. -
További szerzők:Abdelaziz, Mahmoud Ibrahim Ghazala, Hosni Araffa, Sultan Awad Sultan Abdellatif, Mahmoud Csámer Árpád (1976-) (geológus)
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10.

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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11.

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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12.

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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