EXPLORATION OF IOCG MINERALIZATIONS USING INTEGRATION OF SPACE-BORNE REMOTE SENSING DATA WITH AIRBORNE GEOPHYSICAL DATA

9 citations as recorded by crossref.

1. The Potential of Hyperspectral Image Classification for Oil Spill Mapping X. Kang et al. 10.1109/TGRS.2022.3205966
2. Comprehensive Multi-Source remote sensing data integration for enhanced mineralization alteration extraction and geological structure interpretation in the Lala region of Sichuan Province G. Zhang et al. 10.1016/j.oregeorev.2024.106032
3. Extracting geological and alteration information and predicting antimony ore based on multisource remote sensing data in Huangyangling, Xinjiang D. Wang et al. 10.3389/feart.2024.1366727
4. Improving Geological Remote Sensing Interpretation via Optimal Transport-Based Point–Surface Data Fusion J. Wu et al. 10.3390/rs16010053
5. Mapping of hematite ore deposits using multi-sensor data in the Sekota District, Northern Ethiopia J. Abejehu et al. 10.1016/j.geogeo.2025.100385
6. Review on the development of multi- and hyperspectral remote sensing technology for exploration of copper–gold deposits F. Yao et al. 10.1016/j.oregeorev.2023.105732
7. A review of machine learning in processing remote sensing data for mineral exploration H. Shirmard et al. 10.1016/j.rse.2021.112750
8. PRISMA hyperspectral data for lithological mapping in the Egyptian Eastern Desert: Evaluating the support vector machine, random forest, and XG boost machine learning algorithms A. Shebl et al. 10.1016/j.oregeorev.2023.105652
9. Assessment of open-pit captive limestone mining areas using sentinel-2 imagery with spectral indices and machine learning algorithms V. C & U. G 10.3233/KES-230065