Relevant
Outputs provide value to early exploration to mining projects
Proven
Deployments across a full range of commodities and deposit types
Seamless
Integration with existing workflows
Helpful
Generates value from new and legacy datasets
Hyperspectral Intelligence Across the Mining Lifecycle
Hyperspectral scanning connects geological insight with operational efficiency. Our technology captures detailed spectral information from rock, core, or chip samples—providing quantitative mineral data that accelerates interpretation and improves decisions across the entire value chain.
Applications include:
- Rapid target validation and alteration mapping
- Enhanced geological modelling and core re-logging
- Ore/waste discrimination and process optimization
- Advanced data reprocessing and legacy dataset integration
Early Exploration
Build Confidence from the Start
In early exploration, speed and certainty drive discovery. Hyperspectral scanning delivers objective, reproducible compositional information that helps geologists validate alteration halos, identify mineral vectors, and prioritize targets without waiting for laboratory results.
By capturing detailed VNIR–SWIR reflectance spectra directly from RC chips, grab samples, or early core, teams can quickly confirm mineral assemblages and map alteration zones with precision.
Benefits
- Rapid identification of alteration and mineralization patterns
- Consistent, quantitative logs across sites and programs
- Improved confidence in target ranking and geological modelling
Use With
- Handheld and portable scanning systems for field deployment
- Cloud-based Lithotype™ processing for fast, decision-grade outputs
Advanced Exploration
Turn Data into Discovery
At the advanced exploration stage, hyperspectral scanning bridges the gap between field observation and predictive modelling. Quantitative spectral data enhance geological interpretations, geometallurgical proxies, and 3D visualization—reducing subjective logging and increasing data confidence.
By integrating hyperspectral outputs with geochemical and geophysical datasets, teams can map alteration zonation, identify mineral vectors, and refine deposit models with precision. The result is faster iteration, better collaboration, and fewer costly re-logs.
Benefits
- Standardized lithological and mineralogical data across sites and shifts
- 3D alteration and mineral distribution models with quantitative accuracy
- Integrated datasets for multi-parameter exploration (spectral, geochemical, geophysical)
Outcome
Reduce re-logging, improve model consistency, and build predictive understanding of ore zones before production.
Applications include:
- Rapid target validation and alteration mapping
- Enhanced geological modelling and core re-logging
- Ore/waste discrimination and process optimization
- Advanced data reprocessing and legacy dataset integration
Mining Operations
Smarter, Faster, and More Consistent Mining Decisions
In operational settings, hyperspectral data provide the clarity needed to maintain precision and consistency across extraction, processing, and reporting. By accurately distinguishing ore from waste, Hyperspectral Intelligence’s tools support better blast design, reduce dilution, and enhance process control.
Reproducible spectral outputs help operators align decision-making across teams and shifts—translating directly into improved efficiency, safety, and cost performance.
Benefits
- Real-time ore/waste discrimination for optimized extraction and blending
- Faster reconciliation, QA/QC validation, and compliance reporting
- Consistent, data-driven decision-making across operators and sites
Outcome
Increase operational efficiency and maintain quality control through standardized, high-confidence data that scale from pit to plant.
Data Reprocessing
Unlock New Value from Legacy Data
Archived spectral datasets, old drill cores, and chip trays hold more value than ever before. Using advanced cloud-based algorithms and the Lithotype™ Method, Hyperspectral Intelligence reprocesses historical data to extract new mineralogical and geometallurgical insights—without re-logging or re-drilling.
Legacy data are recalibrated, standardized, and enhanced with modern QA/QC protocols, producing decision-grade outputs that integrate seamlessly into today’s models and visualization tools.
Benefits
- Re-analyze legacy spectral datasets with improved calibration and QA/QC
- Integrate reprocessed outputs into geological and geometallurgical models
- Generate predictive lithological and geometallurgical logs from archived cores
Outcome
Extend the life of historical datasets and transform past programs into new discovery opportunities with fast, high-quality spectral reprocessing.
Field-Tested, Globally Deployed
Proven Across Continents, Commodities, and Conditions
Hyperspectral Intelligence systems are in active use across diverse geological environments—from Arctic exploration sites to active open-pit mines in Australia, South America, and Africa.
Our technology has been validated through hundreds of scanning campaigns covering commodities such as gold, copper, nickel, lithium, and diamonds—each supported by strict QA/QC protocols and reproducible results.
Whether deployed in early-stage exploration or integrated into established mine workflows, our solutions deliver consistent, decision-grade data that withstands the rigors of real-world operations.
Discover the Right Tools for Your Project
Tailored Hyperspectral Solutions for Every Stage of Exploration and Mining
Whether you’re launching a grassroots exploration program, expanding advanced drilling, or optimizing mine operations, our team will help you identify the ideal configuration of hyperspectral hardware, software, and processing workflows to meet your objectives.
From deployment planning to data integration, Hyperspectral Intelligence provides the expertise and technology that deliver fast, reliable, decision-grade results.
Use Cases FAQ
What are the main hyperspectral use cases in mining and exploration?
Hyperspectral data are used throughout the mining lifecycle—from early-stage alteration mapping and target validation to advanced 3D modelling, ore/waste discrimination, and legacy data reprocessing. These applications provide objective, quantitative mineral information that improves accuracy and speeds decision-making.
How does hyperspectral scanning improve exploration programs?
It provides rapid, reproducible mineral identification in the field or core shed, helping geologists confirm alteration assemblages, detect mineral vectors, and prioritize drill targets without waiting for lab results. This saves time and reduces re-logging costs.Hyperspectral data are used throughout the mining lifecycle—from early-stage alteration mapping and target validation to advanced 3D modelling, ore/waste discrimination, and legacy data reprocessing. These applications provide objective, quantitative mineral information that improves accuracy and speeds decision-making.
Can hyperspectral data be integrated into existing geological models?
Yes. Hyperspectral outputs are standardized and compatible with industry software such as Leapfrog and other 3D visualization or modelling platforms. They can be merged with geochemical, geophysical, and structural data for integrated analysis.
What types of materials can be analyzed?
Hyperspectral scanning works with drill core, RC chips, grab samples, blast materials, and even archived samples. It captures reflectance spectra in the VNIR–SWIR range, enabling identification of key alteration and ore minerals.
How does reprocessing legacy data add value?
Legacy core and spectral datasets can be recalibrated using advanced QA/QC and the Lithotype™ Method, generating predictive lithological and geometallurgical logs. This transforms existing data into new insights without re-drilling.
Is hyperspectral scanning a replacement for laboratory analysis?
It’s a complementary tool. While labs provide quantitative geochemical data, hyperspectral scanning delivers spatially continuous mineralogical information—ideal for rapid decision-making, validation, and model refinement.
