The publication, “Multiscale Cartographic Integration for Exploring and Predicting Critical Raw Materials in Coastal Placers of the Rías Baixas (NW Spain)” (Ng-Cutipa et al., 2026, Applied Sciences), presents a new approach for predicting coastal placer deposits, which are often enriched in critical raw materials.
Exploration of these coastal placers is significantly challenged by the dynamic marine environment and the limited research dedicated to developing specialized exploration methodologies.
This study represents the first systematic integration of multi-source geospatial data in the Rías Baixas region for placer mineral prediction at the initial exploratory stage. The primary objective is to investigate the presence of titanium minerals (ilmenite, rutile), zirconium minerals (zircon), and REE-bearing minerals (monazite, xenotime, allanite, and garnets) in Rías Baixas (NW Spain).
The methodology includes lithological reclassification and generalization of coastal types, which are then integrated with watershed, coastline dynamics, and mineral occurrence data. Validation is based on existing semi-quantitative and qualitative mineral identification data, as well as new field observations of heavy mineral accumulations.
This data integration allowed the identification of nine potential and ten predictive areas with a high probability of hosting coastal placers. The validation process showed a 79% spatial correlation, confirming significant heavy mineral accumulations in 15 areas.
The methodology can be further enhanced by incorporating additional data, such as stream sediment geochemistry and remote sensing techniques.