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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: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: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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4.

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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5.

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
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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