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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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2.

001-es BibID:BIBFORM116346
035-os BibID:(cikkazonosító)5094 (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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3.

001-es BibID:BIBFORM122872
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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4.

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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5.

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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6.

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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