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@article{202584,
        author = {Aduojo Atakpa and Ndanusa Shaibu and Shehu Suraju and Umoru Sumaila and Muhammed Zuerat Ojonugwa and Sani Yakubu Abdulaziz and KAKURU Ayuba Kake and Obadigie Augustine Prest},
        title = {Satellite-Based Detection of Hydrocarbon-Induced Surface Alterations in Alkaleri and Kirfi Local Government Areas, Bauchi State, Nigeria},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {7833-7838},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202584},
        abstract = {Hydrocarbon microseepage induces measurable mineralogical, geochemical, and biophysical alterations at the Earth's surface, offering detectable signatures that satellite-based remote sensing can exploit for non-invasive petroleum exploration. This study applies a multi-criterion spectral prospectivity analysis within the Alkaleri and Kirfi Local Government Areas (LGAs) of Bauchi State, Nigeria using Sentinel-2 Harmonized Surface Reflectance imagery processed on the Google Earth Engine (GEE) cloud-computing platform. A cloud-free composite was generated from scenes acquired between January and December 2023, filtered to less than 10% cloud cover. Six spectral indicators of microseepage-induced surface alteration were computed: the Clay Index (B11/B12), Iron Oxide Index (B4/B2), Hydrocarbon Stress Index (HSI; derived from Red Edge bands (B6 and B5), Normalized Difference Vegetation Index (NDVI), Shortwave Infrared–Near Infrared Moisture Anomaly Index, and a final weighted composite Hydrocarbon Prospectivity Index (HPI). All indices were normalised and fused through a mean-reduction overlay to generate a continuous prospectivity surface. The study demonstrates that the systematic convergence of multiple independent spectral proxies substantially reduces false positives and enhances exploration targeting relative to single-index approaches. The study provides a cost-effective reconnaissance framework for basin exploration in structurally complex sedimentary settings, with direct applicability for prioritising drilling targets within the study area.},
        keywords = {Hydrocarbon, microseepage; Sentinel-2; Google Earth Engine; prospectivity},
        month = {May},
        }