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

Author:

Abdelkader Mohamed A.,Watanabe Yasushi,Shebl Ali,El-Dokouny Hanna A.,Dawoud Maher,Csámer Árpád

Funder

Ministry of Education, Culture, Sports, Science and Technology

National Aeronautics and Space Administration

European Space Agency

Publisher

Elsevier BV

Subject

Economic Geology,Geochemistry and Petrology,Geology

Reference185 articles.

1. An analysis of airborne gamma ray spectrometric data of Gabal umm Naggat granitic pluton, Central Eastern Desert, Egypt;Abd El Nabi;JAKU: Earth Sci.,2012

2. Transpressive structures in the Ghadir Shear Belt, Eastern Desert, Egypt: evidence for partitioning of oblique convergence in the Arabian-Nubian Shield during Gondwana Agglutination;Abd El-Wahed;Acta Geol. Sin.-English Ed.,2019

3. Mineral chemistry of albite-enriched granitoids at Um Ara, Southeastern Desert, Egypt;Abdalla;Int. Geol. Rev.,1994

4. On the albite-enriched granitoids at Um Ara area, Southeastern Desert, Egypt. 1. Geochemical, ore potentiality and fluid inclusion studies;Abdalla;J. Geochem. Explor.,1996

5. Application of ASTER band-ratio images for geological mapping in arid regions; the Neoproterozoic Allaqi Suture, Egypt;Abdeen;Abstract Program Geol. Soc. Am.,2001

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