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<p>The objective of this work is to improve the geological information available at the Kilguim and Gadas localities, by creating a large-scale geological map using remote sensing methods, supplemented by field data and petrographic analysis. The study area is located in the Mayo-Kebbi domain of the Neoproterozoic Central Africa Fold Belt (NCAFB), in the Far North region of Cameroon, the Mayo-Kani division and the Kaelé sub-division. The geographical coordinates of this area with coordinates of (14°20’00’’ to 14°35’00’’) E and (10°8’00’’ to 10°15’00’’) N. Due to the challenges associated with the conventional method of collecting data, only 77 samples were collected, remote sensing is considered an innovative solution for acquiring precise and large-scale geological information. So, high-resolution satellite images (sentinel 2B) were used and processed by OIF, MNF, ICA and spectral analysis techniques based on bands 2,3,4,8,11 and 12 to extract the geological characteristics of these formations, and supervised classification using maximum likelihoods algorithm to map the spatial cover of rock types. Simultaneously, field data were collected to process and validate classification by avoiding misnaming or misidentifying an object. The map obtained is compared with existing geological maps. The comparison revealed significant similarities. The Kappa index of 95.71% indicating a near perfect classification. The main result is a geological map at scale between 1:20,000 and 1:50,000 that is compliant with former other maps.</p>

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Geological mapping by remote sensing of the Kilguim and Gadas formations (Far-North Cameroon, Mayo-Kebbi domain): Comparison with field data

  • 期刊论文

  • 发表日期：

    2026年3月24日

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  • Emmanuel Fouda Fouda,
  • Carine Yvane Tsoungui,
  • Bertille Edith Bella Nke

摘要

The objective of this work is to improve the geological information available at the Kilguim and Gadas localities, by creating a large-scale geological map using remote sensing methods, supplemented by field data and petrographic analysis. The study area is located in the Mayo-Kebbi domain of the Neoproterozoic Central Africa Fold Belt (NCAFB), in the Far North region of Cameroon, the Mayo-Kani division and the Kaelé sub-division. The geographical coordinates of this area with coordinates of (14°20’00’’ to 14°35’00’’) E and (10°8’00’’ to 10°15’00’’) N. Due to the challenges associated with the conventional method of collecting data, only 77 samples were collected, remote sensing is considered an innovative solution for acquiring precise and large-scale geological information. So, high-resolution satellite images (sentinel 2B) were used and processed by OIF, MNF, ICA and spectral analysis techniques based on bands 2,3,4,8,11 and 12 to extract the geological characteristics of these formations, and supervised classification using maximum likelihoods algorithm to map the spatial cover of rock types. Simultaneously, field data were collected to process and validate classification by avoiding misnaming or misidentifying an object. The map obtained is compared with existing geological maps. The comparison revealed significant similarities. The Kappa index of 95.71% indicating a near perfect classification. The main result is a geological map at scale between 1:20,000 and 1:50,000 that is compliant with former other maps.