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<p>The Baïbokoum region is located in the Adamawa-Yadé domain of the Pan-African Chain in Central Africa. In this study, the discrimination of lithological units producing altered deposits and iron oxides was investigated by combining data from fieldwork and Landsat 9 OLI data. Several digital mapping techniques were used, including red-green-blue (RGB) color combination, principal component analysis (PCA), and minimum noise fraction (MNF). Consequently, other satellite image processing methods, such as band ratios (BR) and the Spectral Angle Mapper (SAM) classification algorithm, were applied to target and delineate altered deposits and corresponding minerals. These techniques were also used to classify lithological units in the study area. The selected digital mapping methods identified syenites, diorites, and gneisses containing iron oxides, hydroxyl/clay, and ferrous occurrences as potential mineralization in the Baïbokoum region. Lineament analyses are obtained automatically using the PCI Geomatica line tool and revealed three major trends (NE-SW, E-W, NNE-SSW, and NW-SE) surrounding altered rocks recognized as containing iron oxide and hydroxyl mineral deposits. Following the lineament, the iron oxides run in a NE-SW direction. In the field, these lineaments can be grouped into three deformation phases. Phase D1 (NW-SE), phase D2 (N-S to NNE-SSW) and phase D3 (E-W to NW-SE). This result suggests that combining (Landsat 9) data and field data can simplify the identification of rock units containing a potentially mineralized zone.</p>

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Mapping and discrimination of mineralisation potential of the Baïbokoum pluton (Southern Chad), using Landsat 9 OLI images and field observations

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年8月5日

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  • Baïssemia Ronang Gustave,
  • Safianou Ousmanou,
  • Klamadji Moussa Ngarena,
  • Tcheumenak Kouémo Jules,
  • Abdoulaye Nourene Souleymane,
  • Gountié Dedzo Merlin,
  • Kwékam Maurice

摘要

The Baïbokoum region is located in the Adamawa-Yadé domain of the Pan-African Chain in Central Africa. In this study, the discrimination of lithological units producing altered deposits and iron oxides was investigated by combining data from fieldwork and Landsat 9 OLI data. Several digital mapping techniques were used, including red-green-blue (RGB) color combination, principal component analysis (PCA), and minimum noise fraction (MNF). Consequently, other satellite image processing methods, such as band ratios (BR) and the Spectral Angle Mapper (SAM) classification algorithm, were applied to target and delineate altered deposits and corresponding minerals. These techniques were also used to classify lithological units in the study area. The selected digital mapping methods identified syenites, diorites, and gneisses containing iron oxides, hydroxyl/clay, and ferrous occurrences as potential mineralization in the Baïbokoum region. Lineament analyses are obtained automatically using the PCI Geomatica line tool and revealed three major trends (NE-SW, E-W, NNE-SSW, and NW-SE) surrounding altered rocks recognized as containing iron oxide and hydroxyl mineral deposits. Following the lineament, the iron oxides run in a NE-SW direction. In the field, these lineaments can be grouped into three deformation phases. Phase D1 (NW-SE), phase D2 (N-S to NNE-SSW) and phase D3 (E-W to NW-SE). This result suggests that combining (Landsat 9) data and field data can simplify the identification of rock units containing a potentially mineralized zone.