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Climate-Smart Forestry
Forest inventory, biomass, carbon, biodiversity, growth, regeneration, wildfire resilience and change monitoring.
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Earth Observation · AI · Advanced Computing
AI, Earth Observation & Quantum Intelligence for Forests and Security
PlanetQ AI develops advanced geospatial intelligence using remote sensing, artificial intelligence and emerging computing approaches to support climate-smart forestry, environmental resilience and complex operational decisions.
Hero visual: conceptual illustration.
Three focus areas
From observation to intelligence to decisions
We combine domain knowledge, multi-source geospatial data and advanced computation to address problems where timely, spatially consistent information matters.
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Defence & Geospatial Intelligence
Multi-sensor fusion, persistent monitoring, activity detection and AI-enabled situational awareness.
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Quantum & Advanced Computing
Quantum, quantum-inspired and hybrid approaches for optimization, wildfire and geospatial decision support.
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Climate-Smart Forestry
Better forest information for better management decisions
PlanetQ AI combines satellite Earth observation, LiDAR, aerial imagery, forest inventory information and AI to support more timely, consistent and spatially detailed understanding of forest resources and change.
Capability area
Applied R&D
Forest Inventory & Structure
Tree species, canopy height, basal area, stand structure and spatial characterization of forest condition.
Biomass, Carbon & Residuals
Above-ground biomass, merchantable volume, carbon information and residual biomass under alternative utilization scenarios.
Growth & Forest Condition
Growth-rate assessment, tree vigour, forest health, regeneration characterization and repeat monitoring.
Biodiversity & Ecosystem Monitoring
Structural diversity, habitat-relevant indicators, late-successional and old-growth characteristics, and ecosystem change.
Wildfire & Disturbance
Fuel-type characterization, vegetation condition, disturbance detection and forest-resilience information.
Decision Support
Spatial screening, prioritization, scenario analysis and information products designed to complement field knowledge and operational planning.
Our approach
From data to decisions
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Observe
Satellite, SAR, LiDAR, aerial, UAV, field and environmental information.
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Analyze
Machine learning, deep learning, computer vision, spectral analysis and data fusion.
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Understand
Structure, biomass, change, activity, resilience and spatial patterns.
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Decide
Prioritization, scenarios, risk assessment and decision-ready geospatial intelligence.
Defence & Geospatial Intelligence
Multi-sensor intelligence for complex operational environments
PlanetQ AI is advancing AI-enabled remote-sensing approaches for situational awareness, persistent monitoring and decision support. Public-facing descriptions remain intentionally high-level and unclassified.
Applied R&D
Multi-Sensor Intelligence Fusion
Integration of complementary sensing and geospatial information to develop a more complete and timely understanding of an area, event or evolving operational context.
OpticalSARSpectralTemporalAI fusion
Activity & Change Detection
AI-based analysis of multi-temporal observations to identify meaningful change, characterize activity and support persistent monitoring of areas of interest.
Change detectionAnomaly detectionActivity indicatorsTemporal analysis
Quantum & Advanced Computing
Exploring new approaches to high-complexity decisions
PlanetQ AI is exploring quantum, quantum-inspired and hybrid quantum-classical approaches for optimization and machine-learning problems in forestry, wildfire and geospatial intelligence.
Established AI and geospatial methods remain the foundation for practical analysis, while quantum-ready approaches are investigated where combinatorial complexity and competing constraints can make optimization difficult.
Advanced R&D
Wildfire Intelligence
Research on complex relationships among vegetation, fuels, terrain, weather and fire behaviour using advanced machine-learning approaches.
Forest & Fuel-Treatment Optimization
Explore treatment priorities while balancing wildfire risk, cost, accessibility, biomass, carbon and ecological objectives.
Resource & Observation Optimization
Investigate scheduling and allocation problems involving sensors, satellites, UAVs and other constrained geospatial resources.
Technology foundation
One technical core across multiple application domains
PlanetQ AI integrates sensing, analytics and advanced computing into a common geospatial intelligence workflow.
Earth Observation
Multispectral, hyperspectral, SAR, LiDAR, aerial and UAV observations.
Artificial Intelligence
Machine learning, deep learning, computer vision and geospatial AI.
Data Fusion
Multi-sensor, multi-temporal and field + Earth observation integration.
Advanced Computing
High-performance computing, quantum machine learning and quantum-inspired optimization research.
About PlanetQ AI
Applied geospatial R&D with a practical decision focus
PlanetQ AI Inc. is a New Brunswick-based research and technology company developing advanced geospatial intelligence solutions using Earth observation, artificial intelligence and emerging computing technologies.
Led by Dr. Rakesh Mishra, President & CEO, the company brings experience in remote sensing, LiDAR, satellite analytics, hyperspectral imaging, computer vision, multi-sensor fusion and applied AI for forestry, environmental and defence-related research.
Collaborate with us
Let’s work on complex geospatial problems
We welcome research and technology collaborations in climate-smart forestry, wildfire resilience, Earth observation, defence-related geospatial intelligence and advanced AI/quantum research.
info@planetq.ca
Fredericton, New Brunswick, Canada