The capability of Sentinel-2 image and FieldSpec3 for detecting lithium-containing minerals in central Iran

Frontiers of Earth Science - Tập 16 - Trang 678-695 - 2022
Kazem Rangzan1, Mostafa Kabolizadeh1, Sajad Zareie1, Adel Saki2, Danya Karimi1
1Department of Remote Sensing and GIS, Faculty of Earth Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran
2Department of Geology, Faculty of Earth Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran

Tóm tắt

To date, there are very few studies about the spectroscopy of lithium-containing minerals (LCMs) in the scientific community. The main objective of this study is to investigate the capability of Sentinel-2 image and FieldSpec3 spectro-radiometer in terms of mapping five important LCMs, including spodumene, lepidolite, amblygonite, petalite, and eucryptite. Therefore, first the FieldSpec3 spectro-radiometer was used to create the spectral curves of the LCMs. Then, accurate spectral analysis and comparison of the studied LCMs were performed using The Spectral Geologist (TSG) and the Prism software. These two software can show even slight difference in absorption features of different LCMs, which can discriminate and identify these minerals. Lithium-bearing rocks show absorption features at ∼365, ∼2200, and ∼2350 nm and reflective features at ∼550–770 nm. These features are consistent with Sentinel-2 bands. Therefore, the created spectral curves were utilized for calibration of Sentinel-2 optical image to detect and map the potential zones of the rock units containing minerals mentioned above in a part of the central Iranian terrane. By using the Spectral Angle Mapper (SAM) classifier module, the potential areas were demarcated. Out of the five LCMs, petalite and spodumene showed more extensive coverage in the study area. Generally speaking, the largest concentration of those LCMs can be seen in southern and centraleastern parts of the study area. The comparison between spectral curves of reference and classified minerals confirmed the high capability of Sentinel-2 image for LCMs mapping. ASTER image classification results also confirmed the presence of the LCMs, but it cannot distinguish the LCMs type successfully.

Tài liệu tham khảo

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