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Shereif, A.S., Shebl, A., Mahmoud, A.S. and Csámer, Á. (2024) Enhanced Lithological Mapping in El-Missikat and El-Erediya Areas, Central Eastern Desert, Egypt, Leveraging Remote Sensing Techniques and Machine Learning Algorithms. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-27.
https://doi.org/10.1109/tgrs.2024.3471982

has been cited by the following article:

• TITLE: Remote Sensing Prospecting for Guanyinshan Iron Ore in Dongchuan District, Kunming, Yunnan Province

  AUTHORS: Zhen Chen

  KEYWORDS: Remote Sensing Prospecting, Landsat 8, ASTER, Iron Ore

  JOURNAL NAME: Advances in Remote Sensing, Vol.14 No.1, March 5, 2025

  ABSTRACT: This study takes Guanyinshan Iron mining area, Dongchuan District, Kunming City, Yunnan Province as the research object, and uses remote sensing technology to carry out ore prospecting. Firstly, the information of iron hydroxyl alteration was extracted by Landsat 8 remote sensing image, and the distribution characteristics of iron mineralization were analyzed. Secondly, ASTER remote sensing image was used to extract the distribution of hematite, magnetite and other minerals, and to clarify the mineral composition of iron ore in the region. On this basis, combined with multi-source data, the improved integrated learning method is used to comprehensively analyze the iron ore potential, and delineate the prospecting prospect area. The research shows that the combination of remote sensing technology and geological data can effectively assist the exploration of iron ore resources and provide a scientific basis for future mineral exploration.