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

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 similar to 365, similar to 2200, and similar to 2350 nm and reflective features at similar to 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.

Automated summary

There have been limited studies on the spectroscopy of lithium-containing minerals. This study aimed to investigate the capability of Sentinel-2 image and FieldSpec3 spectro-radiometer in mapping five important lithium-containing minerals. The spectral curves of these minerals were created using FieldSpec3 spectro-radiometer and accurate spectral analysis was performed using TSG and Prism software. The study found that Sentinel-2 image has high capability in mapping lithium-containing minerals.