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The synergistic use of WorldView-3 and EO1-Hyperion data for the identification of lineaments and hydrothermal alteration minerals in the Chadormalu iron oxide-apatite deposit area, Central Iran

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Abstract

Hyperspectral and high spatial resolution sensors allow for better discrimination of geological features and combining the products of these two kinds of sensors hypothetically improves this task. We evaluated the synergies of WorldView-3 (WV-3) and Hyperion datasets by fusing them to get a spatially enhanced hyperspectral dataset for mapping hydrothermal alteration minerals of Chadormalu iron oxide-apatite deposit area, in Central Iran. Due to the fact that faults and hydrothermal alteration minerals are inseparable phenomena for mineral exploration, lineaments of the study area were extracted manually and automatically using ALOS World 3D—30 m (AW3D30) and WV-3 data respectively. Subsequently, the alteration minerals were mapped by the use of Mixture Tuned Matched Filtering (MTMF) partial unmixing method on the WV-3, Hyperion, and their fused dataset. Results revealed that fusion of Hyperion and WV-3 data provides higher model accuracies than using solely one sensor dataset. Hyperion and Hyperion- WV-3 fused datasets reached 59.15% and 66. 41% overall accuracies as comparing to WV-3 MTMF mineral map for concentrations greater than 50%. This study introduced two prospecting areas of iron ore by matching the lineaments and alteration mineral maps. Furthermore, it was revealed that WV-3 data can discriminate the rock units and their approximate geometry in messy and stripy active open-pit which are concordant with the 1:1000 lithological map. Importantly, ground truthing and field validation, reflectance spectroscopy, TSG analysis, and X-ray diffraction (XRD) supported the results of this research. Findings of this research stated the potential use of WV-3 and Hyperion data as well as their fusion for lineament and mineralogical discriminations to further develop new hyperspectral image processing approach and making synthetic high spatio-spectral dataset.

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Data availability

The datasets analysed during the current study are available from the corresponding author on reasonable request. All data generated during this study are included in this published article.

Notes

  1. EO1H1610372005185110KW_1T.

  2. Algorithm notations: B = band, float = floating point, ge = greater than or equal to, gt = greater than, le = less.

    than or equal to, lt = less than.

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Funding

We would like to show our gratitude to the financial support of Iranian Mines and Mining Industries Development and Renovation Organization (IMIDRO) for XRD analyses.

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Authors and Affiliations

  1. Department of Earth Sciences, Faculty of Sciences, Shiraz University, Shiraz, Iran

    Sogand Karimzadeh & Majid H. Tangestani

  2. SRK Consulting, SRK Almaty, 14th Floor 77 Kunayev St., Park View Office Tower, Almaty, 050010, Kazakhstan

    Anna Fonseca

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  1. Sogand Karimzadeh
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Contributions

Sogand Karimzadeh: Conceptualization, Investigation, Methodology, Software, Field observation, Data Curation, Writing- Original draft preparation. Majid H. Tangestani: Supervision, Review & Editing. Anna Fonseca: Field observation, Spectrometry, TSG analysis.

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Correspondence to Majid H. Tangestani.

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Karimzadeh, S., Tangestani, M.H. & Fonseca, A. The synergistic use of WorldView-3 and EO1-Hyperion data for the identification of lineaments and hydrothermal alteration minerals in the Chadormalu iron oxide-apatite deposit area, Central Iran. Earth Sci Inform 16, 2573–2593 (2023). https://doi.org/10.1007/s12145-023-01048-x

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