Bai, Yong; Wang, Jinlin; Jiang, Guo; Zhou, Kefa; Zhou, Shuguang; Mi, Wentian; An, Yu (2025) Identification of Alteration Minerals and Lithium-Bearing Pegmatite Deposits Using Remote Sensing Satellite Data in Dahongliutan Area, Western Kunlun, NW China. Minerals, 15 (7). doi:10.3390/min15070671
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Identification of Alteration Minerals and Lithium-Bearing Pegmatite Deposits Using Remote Sensing Satellite Data in Dahongliutan Area, Western Kunlun, NW China | ||
| Journal | Minerals | ||
| Authors | Bai, Yong | Author | |
| Wang, Jinlin | Author | ||
| Jiang, Guo | Author | ||
| Zhou, Kefa | Author | ||
| Zhou, Shuguang | Author | ||
| Mi, Wentian | Author | ||
| An, Yu | Author | ||
| Year | 2025 | Volume | < 15 > |
| Issue | < 7 > | ||
| URL | |||
| DOI | doi:10.3390/min15070671Search in ResearchGate | ||
| Generate Citation Formats | |||
| Classification | Not set | LoC | Not set |
| Mindat Ref. ID | 18590135 | Long-form Identifier | mindat:1:5:18590135:6 |
| GUID | 0 | ||
| Full Reference | Bai, Yong; Wang, Jinlin; Jiang, Guo; Zhou, Kefa; Zhou, Shuguang; Mi, Wentian; An, Yu (2025) Identification of Alteration Minerals and Lithium-Bearing Pegmatite Deposits Using Remote Sensing Satellite Data in Dahongliutan Area, Western Kunlun, NW China. Minerals, 15 (7). doi:10.3390/min15070671 | ||
| Plain Text | Bai, Yong; Wang, Jinlin; Jiang, Guo; Zhou, Kefa; Zhou, Shuguang; Mi, Wentian; An, Yu (2025) Identification of Alteration Minerals and Lithium-Bearing Pegmatite Deposits Using Remote Sensing Satellite Data in Dahongliutan Area, Western Kunlun, NW China. Minerals, 15 (7). doi:10.3390/min15070671 | ||
| In | Link this record to the correct parent record (if possible) | ||
| Abstract/Notes | Remote sensing technology has significant technical advantages over traditional geological methods in geological mapping and mineral resource exploration, especially in high-altitude and steep topography areas. Geochemical sampling and geological mapping methods in these areas are difficult to use directly in mountainous regions such as West Kunlun. Therefore, in the face of Li-Be-Nb-Ta mineralization of the Dahongliutan rare-metal pegmatite deposit in West Kunlun, remote sensing has become an effective means to identify areas of interest for exploration in the early stage of the exploration campaigns. Several methods have been developed to detect pegmatites. Still, in this study, this methodology is based on spectral analysis to select bands of the ASTER and Landsat-8 OLI satellites, and methods, such as principal component analysis (PCA) and mixture tuned matched filtering (MTMF), to delineate the prospective areas of pegmatite. The results proved that PCA could map the hydrothermal alteration and structure information for pegmatites. To define new locations of interest for exploration, we introduced the spectra of spodumene-bearing pegmatites and tourmaline-bearing pegmatites as endmembers for the MTMF approach. The results indicate that the location of pegmatite areas on the ASTER and Landsat-8 OLI images overlaps with the ore deposits, and the location of potential ore-bearing pegmatites is delineated using remote sensing and geological sampling. Although this does not guarantee that all prospective areas have the mining value of ore-bearing pegmatites, it can provide basic data and technical references for early exploration of Li. | ||
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