Cross-Domain Intelligence
Planetary Observation
The same analytical framework applied to Earth and Mars — a unified approach to planetary surface change detection.
Not built for a single planet. The intelligence framework is domain-agnostic — any planetary surface with available satellite data becomes observable.
Observation Domains
What the System Observes
AstraSense applies a unified analytical framework across four primary observation domains, spanning both terrestrial and Martian environments.
Vegetation & Ecosystem Change
Vegetation stress detection across terrestrial biomes. Identifies deforestation, drought stress, and ecosystem degradation through temporal trend analysis.
Thermal Anomaly Detection
Fire hotspot identification and thermal anomaly mapping using satellite thermal infrared data. Integrates real-time fire monitoring for active fire detection.
Mars Surface Change
Albedo shift detection, dust movement tracking, and surface thermal variation analysis using archival Mars mission datasets. Applies the same multi-signal framework as Earth observation.
Spatial Risk Mapping
Continuous risk surface computation across planetary regions. Grid-based sampling with spatial interpolation produces smooth risk surfaces applicable to both Earth and Mars datasets.
Earth Observation
Terrestrial Data Sources
Earth observation is built on publicly available satellite missions providing daily global coverage.
Earth Coverage
Prototype EvaluationGlobal
Daily global coverage via multiple satellite sources. Near real-time fire data integration.
Temporal Resolution
Internal BenchmarkDaily
Multiple satellite sources provide daily revisit cycles, enabling temporal trend analysis over days to years.
Mars Observation
Martian Data Sources
Mars surface analysis uses archival datasets from NASA missions. The same analytical pipeline is applied with domain-appropriate parameter adjustments.
Mars analysis uses archival datasets. Real-time Mars observation is not currently supported. All Mars results represent experimental prototype evaluation on historical data.
Mars Coverage
Experimental ModulePartial
Archival Mars mission datasets provide partial surface coverage for analysis.
Analysis Type
Experimental ModuleArchival
Mars analysis operates on archival datasets. Temporal analysis is limited by mission data availability.
Cross-Domain Design
Why One Framework for Two Planets
Domain-Agnostic Signal Processing
The core signal extraction pipeline operates on spectral and thermal data regardless of planetary origin. Vegetation-equivalent indices can be computed from any multispectral dataset with appropriate band configurations.
Transferable Risk Framework
Risk classification, confidence scoring, and decision synthesis are parameterized rather than hardcoded. Domain-specific thresholds and baselines are configured per dataset, allowing the same framework to operate across environments.
Unified Spatial Modelling
The spatial interpolation and risk surface computation pipeline is coordinate-system agnostic. The same spatial modelling approach that produces Earth risk surfaces can be applied to Martian coordinate grids.
Future Extensibility
The cross-domain architecture is designed for extensibility. As satellite data becomes available for additional planetary bodies, the same framework can be applied with appropriate dataset configuration.