AI-Powered Forestry Intelligence Starts Here
Leafmark transforms forest management with advanced AI image recognition—delivering fast, accurate analysis of tree health, species identification, and inventory tracking. Optimize your forestry operations with automated insights, reduce costs, and enhance sustainability through cutting-edge visual AI tailored for the modern forester.
Automated Tree Species Identification & Health Monitoring
Leverage Leafmark's AI to instantly recognize tree species and detect early signs of disease or stress from high-resolution imagery. Our system provides actionable insights for proactive forest care, minimizing losses and supporting biodiversity—critical for nurseries, timber companies, and conservation projects.
- Instant species recognition from satellite, drone, or ground imagery
- Early disease detection using advanced visual pattern analysis
- Real-time stress indicators for drought, pest, and nutrient deficiency
- Confidence scoring for every identification and diagnosis
- Historical tracking to monitor forest health trends over time
- Biodiversity metrics and endangered species monitoring
Precision Forest Inventory Management
Streamline your forest inventory with Leafmark's AI-driven tools. Accurately count, measure, and map trees across vast areas using satellite, drone, or ground-based imagery. Reduce manual errors, save time, and maintain compliance with evolving forestry regulations and certification standards.
Automated Counting
Process thousands of acres in minutes with AI-powered tree counting and volume estimation.
Precise Mapping
Generate detailed geospatial maps with exact tree locations, sizes, and species distribution.
Compliance Ready
Meet FSC, PEFC, and SFI certification requirements with comprehensive audit-ready reports.
Time Savings
Reduce inventory time by 85% compared to traditional ground-based surveys.
Ecological Impact Assessment & Land Stewardship
Quantify the ecological impact of forestry activities with Leafmark's visual analysis. Assess canopy cover, carbon stock, habitat health, and land use changes—enabling data-driven decisions for sustainable harvesting, reforestation, and conservation planning.
Canopy Cover Analysis
Monitor forest density, gap patterns, and regeneration rates using multi-spectral satellite imagery and AI-powered classification.
Carbon Stock Estimation
Calculate above-ground biomass and carbon sequestration potential to support carbon credit programs and climate reporting.
Habitat Quality Metrics
Evaluate wildlife habitat suitability, corridor connectivity, and biodiversity indicators for conservation planning.
Land Use Change Detection
Track deforestation, reforestation, and forest degradation with time-series analysis and change detection algorithms.
Reforestation Planning
Identify optimal planting sites, species selection, and success monitoring for restoration projects.
Environmental Reporting
Generate comprehensive environmental impact reports for stakeholders, regulators, and certification bodies.
Timber Harvest Optimization & Legal Compliance
Maximize timber yield while preserving forest integrity using Leafmark's AI-powered harvest planning. Identify mature trees for selective logging, avoid over-harvesting, and ensure compliance with international forestry standards and carbon sink regulations—protecting both profits and the planet.
Mature Tree Identification
AI algorithms analyze tree diameter, height, and health indicators to identify harvest-ready specimens while preserving younger growth.
Yield Optimization
Calculate optimal harvest volumes, access routes, and timing to maximize economic returns while minimizing environmental impact.
Compliance Verification
Ensure adherence to FSC, PEFC, REDD+, and regional forestry regulations with automated compliance checking and documentation.
AI Early Warning for Forest Threats
Detect forest threats—like pests, diseases, illegal logging, and storm damage—faster than ever with Leafmark's AI. Our algorithms analyze subtle visual cues in satellite and drone imagery, enabling rapid response to preserve forest health and reduce restoration costs.
Pest Detection
Identify bark beetle infestations and other pest damage before visible symptoms appear.
Disease Monitoring
Track fungal infections, needle blight, and other pathogen spread with weekly updates.
Illegal Logging Alerts
Receive real-time notifications when unauthorized clearing or harvesting is detected.
Storm Damage Assessment
Rapidly quantify windthrow and storm impact for insurance claims and recovery planning.
Wildlife & Biodiversity Tracking
Monitor wildlife behavior, movement patterns, and biodiversity changes using Leafmark's advanced image recognition. Support conservation efforts, track endangered species, and manage human-wildlife interactions—critical for parks, reserves, and ecological research.
- Automated species identification from camera trap imagery
- Population density estimation and trend analysis
- Movement corridor mapping and habitat connectivity assessment
- Endangered species monitoring with priority alerts
- Behavioral pattern analysis for conservation research
- Human-wildlife conflict prediction and prevention
- Biodiversity indices and ecosystem health metrics
- Integration with existing camera trap networks
Cost-Effective Forest Surveillance for Municipalities
Municipalities and urban foresters rely on Leafmark to efficiently monitor tree health, plan maintenance, and comply with environmental targets—all at a fraction of traditional survey costs. Our scalable AI solution covers thousands of hectares in a single analysis, ideal for budget-conscious public agencies.
Urban Tree Inventory
Complete city-wide tree inventories in weeks, not months. Track every street tree, park specimen, and urban forest asset with GPS precision.
- Automated tree tagging and attribute capture
- Maintenance priority scheduling based on health assessment
- Risk assessment for trees near infrastructure
- Public dashboard for community engagement
Budget Optimization
Reduce survey costs by up to 85% while improving data accuracy and coverage. Reallocate saved resources to tree planting, maintenance, and community programs.
- Predictive maintenance reduces emergency tree work
- Grant application support with comprehensive data
- Carbon sequestration reporting for climate action plans
- Equity analysis to ensure fair canopy distribution
Rainforest Protection & Anti-Deforestation AI
Help safeguard the world's rainforests with Leafmark's AI-powered monitoring. Detect illegal logging activities in real time using satellite, ground sensors, and bioacoustic analysis. Empower rangers and NGOs with actionable intelligence to combat deforestation and protect critical ecosystems.
Real-Time Satellite Monitoring
Daily satellite passes detect clearing activities within 24 hours, providing GPS coordinates for rapid ranger deployment.
Bioacoustic Analysis
AI-powered audio sensors detect chainsaw sounds and heavy machinery from kilometers away, alerting authorities to illegal activity.
Ranger Response System
Mobile app delivers threat alerts, optimal patrol routes, and evidence collection guidance to field teams.
Trusted by conservation organizations protecting over 5 million hectares of tropical rainforest across Latin America, Africa, and Southeast Asia.
Our Team of Forestry AI Experts
Meet the Leafmark team—seasoned specialists in forestry science, AI development, and environmental policy. Our multidisciplinary expertise ensures that every solution is grounded in real-world forestry challenges and the latest advancements in machine learning and remote sensing.
Dr. Elena Varga
Chief AI Scientist
PhD in Computer Vision from Stanford. 15 years developing machine learning algorithms for environmental monitoring. Published 47 peer-reviewed papers on AI applications in forestry.
James Thornton
Director of Forestry Science
MSc Forest Ecology, Certified Forester with 22 years field experience. Former chief forester for 500,000-acre sustainable timber operation. Expert in inventory management and silviculture.
Dr. Priya Sharma
Remote Sensing Lead
PhD in Geospatial Analysis. Specialist in satellite imagery processing and LiDAR analysis. Developed forest monitoring systems for NASA and USDA Forest Service projects.
Marcus Williams
Conservation Policy Advisor
Former policy director at World Wildlife Fund. Expert in FSC/PEFC certification, REDD+ programs, and international forestry regulations. Advises on compliance and standards integration.
Built on Science, Driven by Impact
Leafmark was founded in 2018 by a team of forestry professionals and AI researchers frustrated by the slow adoption of technology in forest management. We witnessed firsthand how outdated surveying methods led to inefficiencies, inaccurate data, and missed opportunities for conservation.
Our Portland headquarters sits at the heart of the Pacific Northwest forestry industry, giving us direct access to the challenges facing modern foresters. We collaborate with Oregon State University's College of Forestry, timber companies, conservation groups, and government agencies to ensure our AI tools solve real problems.
Today, Leafmark's technology protects over 2 million hectares of forest across six continents, from sustainably managed timber operations to pristine rainforest conservation areas. Our mission remains unchanged: harness the power of AI to support healthy, sustainable forests for future generations.
Ready to Transform Your Forestry Operations?
Contact Leafmark today to schedule a demo, discuss your project needs, or request a customized AI solution. Our team is ready to help you harness the power of image recognition for smarter, sustainable, and more profitable forest management.
Contact Information
Visit Us
789 Evergreen Way, Suite 210
Portland, OR 97204, USA
Office Hours
Monday - Friday: 8:00 AM - 6:00 PM
Saturday: 9:00 AM - 2:00 PM
Sunday: Closed