Remote sensing evidence
Satellite and terrain datasets are processed into interpretable exploration evidence.
Technology
The intelligence stack behind field-ready exploration decisions.
Xidar's technology stack connects satellite imagery, spectral processing, terrain analysis, structural interpretation, evidence stacking, field verification, QA/QC, lab integration, and decision-grade reporting into one traceable exploration workflow.
Geological interpretation
Spectral, structural, and regional context are reviewed by humans before becoming recommendations.
Field-to-lab continuity
Desktop outputs are designed to connect with field verification, sampling, QA/QC, and assay review.
Decision-grade reporting
Outputs are packaged as maps, GIS layers, target cards, executive summaries, and technical notes.
The Xidar Intelligence Stack
A traceable system from raw evidence to ranked, explainable outputs.
The stack is built for exploration uncertainty: organise the evidence, interpret it geologically, rank it cautiously, and keep the next validation step visible.
Data Acquisition
Satellite imagery, DEMs, geological layers, licence boundaries, legacy reports, field notes, client datasets, and project objectives are organised into a usable technical workspace.
Spectral Processing
Multisensor imagery is processed to support alteration review, false-colour composites, clay, iron oxide, silica, lithological, vegetation, and terrain-context interpretation.
Terrain & Structural Interpretation
Lineaments, corridors, drainage patterns, terrain breaks, relief, access constraints, and structural controls are interpreted in relation to mineral-system logic.
Evidence Fusion
Spectral, structural, geological, terrain, historical, and field evidence are combined to show where independent indicators converge.
AI-Assisted Ranking
Model-assisted scoring can help organise large areas and prioritise targets, but results remain interpretive and require geological review and field validation.
Explainability & Uncertainty
Each target should show why it matters, what evidence supports it, what uncertainty remains, and what should be checked next.
Reporting & GIS Delivery
Findings are delivered as GIS layers, maps, target cards, ranked tables, technical summaries, and decision-support reporting.
Integrated Data Pipeline
From raw data streams to exploration intelligence.
Xidar integrates multiple data streams into a disciplined interpretation workflow, from satellite imagery and geological context to field verification, lab integration, and deliverable production.
01
Satellite Imagery & Remote Sensing
- Input
- Multisensor imagery, scene context, AOI geometry
- Process
- Prepare imagery for interpretable exploration review
- Output
- Screening-ready image layers
02
Geophysical & Geological Layers
- Input
- Regional geology, terrain, structure, available geophysics
- Process
- Register layers into a consistent technical workspace
- Output
- Context stack and map base
03
Legacy Reports & Historical Data
- Input
- Historic reports, notes, targets, field observations
- Process
- Extract useful evidence while preserving uncertainty
- Output
- Interpretable legacy evidence
04
Processing & GIS Preparation
- Input
- Imagery, boundaries, DEMs, client data
- Process
- Clean, align, and structure layers for analysis
- Output
- GIS-ready project workspace
05
Evidence Fusion & Prospectivity Modelling
- Input
- Spectral, structural, terrain, geological, and historic indicators
- Process
- Combine converging evidence into ranked review zones
- Output
- Prospectivity model and ranking logic
06
Field Verification & Sampling
- Input
- Ranked targets, routes, structural hypotheses
- Process
- Plan checks, observations, and sampling controls
- Output
- Field validation package
07
Lab Integration & QA/QC
- Input
- Sample registers, submissions, assay results, QA/QC records
- Process
- Review lab evidence in geological context
- Output
- Updated evidence model
08
Target Ranking & Deliverables
- Input
- Integrated evidence, uncertainty, project objectives
- Process
- Package the rationale for the next decision
- Output
- Maps, GIS layers, target cards, reports
Advanced Spectral Processing
Advanced spectral imagery and remote sensing.
Xidar uses satellite-derived evidence to support alteration mapping, lithological context, structural enhancement, terrain interpretation, and early-stage target screening.
Raw satellite imagery
False-colour composites
Alteration proxy review
Clay, iron oxide, and silica indicators
Structural enhancement
Terrain and access context
Screening outputs
Spectral evidence is a proxy layer. It must be interpreted with geological context and field validation before operational or investment decisions.
Evidence Fusion Explorer
The system highlights convergence, then asks what still needs validation.
Evidence fusion is useful only when the interpretation remains explainable. Xidar uses stacked indicators to make target logic clearer, not to hide uncertainty behind a black box.
Layer 1
Spectral proxies
Layer 2
Structural lineaments
Layer 3
Terrain context
Layer 4
Geological knowledge
Layer 5
Field evidence
Layer 6
Lab results
Layer 7
Reporting logic
Field-to-Lab Technology Continuity
Technology does not replace field validation. It prepares it.
Xidar's technical system is built to move from desktop interpretation into field verification, sample governance, QA/QC, lab review, and updated target logic.
01
Desktop target
02
Field route
03
Structural observation
04
Sample logging
05
QA/QC
06
Lab result
07
Updated target model
08
Report output
Human Review, QA/QC, And Reporting Discipline
Human review, QA/QC, and reporting discipline remain central.
Xidar's technology supports interpretation. It does not remove the need for geological judgement, careful evidence handling, and clear technical communication.
Audit-ready evidence trail
Workflows preserve clear evidence paths from screening through interpretation, field notes, lab review, and delivery.
Chain-of-custody awareness
Sampling logic, metadata, and handoff discipline help preserve traceability as programmes mature.
Lab integration and assay review
Assay results are read against QA/QC results, representativeness, geological observations, and target models.
Technical diligence support
Outputs are structured to support technical review and can be formatted for QP/CP review where formal disclosure is required.
Innovation And R&D
Future-ready exploration intelligence.
Xidar's innovation focus is to make exploration workflows faster, more explainable, and more field-relevant by improving data integration, model-assisted ranking, interpretation dashboards, and repeat monitoring workflows.
Predictive target modelling
Model-assisted ranking that helps organise large evidence stacks without replacing geological review.
Automated mineral interpretation support
Processing support for repeatable review of spectral, terrain, and structural indicators.
Integrated data environments
Cleaner technical workspaces for combining client data, regional context, field notes, and outputs.
Decision-support dashboards
Readable review surfaces that explain target logic, uncertainty, and next-step recommendations.
Repeat monitoring workflows
Structured refresh cycles for recurring area review, change tracking, and staged exploration planning.