A Multi-Source Remote Sensing Workflow for Pegmatite-Related Rare-Metal Prospectivity Assessment Using GF-5A, ASTER TIR, and Structural Data

Keyu Xiang, Haoyang He, Zhijun Li, Yuchun Zhang

Open source

DOI: 10.3390/app16136284
Published: 2026-06-23
Container: Applied Sciences
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/app16136284,
  title = {A Multi-Source Remote Sensing Workflow for Pegmatite-Related Rare-Metal Prospectivity Assessment Using GF-5A, ASTER TIR, and Structural Data},
  author = {Keyu Xiang and Haoyang He and Zhijun Li and Yuchun Zhang},
  year = {2026},
  journal = {Applied Sciences},
  doi = {10.3390/app16136284},
  url = {https://doi.org/10.3390/app16136284}
}

RIS

TY  - JOUR
TI  - A Multi-Source Remote Sensing Workflow for Pegmatite-Related Rare-Metal Prospectivity Assessment Using GF-5A, ASTER TIR, and Structural Data
AU  - Keyu Xiang
AU  - Haoyang He
AU  - Zhijun Li
AU  - Yuchun Zhang
PY  - 2026
JO  - Applied Sciences
DO  - 10.3390/app16136284
UR  - https://doi.org/10.3390/app16136284
ER  -

APA

Xiang, K., He, H., Li, Z., & Zhang, Y. (2026). A Multi-Source Remote Sensing Workflow for Pegmatite-Related Rare-Metal Prospectivity Assessment Using GF-5A, ASTER TIR, and Structural Data. Applied Sciences. https://doi.org/10.3390/app16136284

Source records

crossref · retrieved 2026-11-10T09:20:03.472Z