Forest Patrol

AI-based geospatial analytics platform detects illegal logging and supports enforcement with real-time alerts and actionable evidence across remote forest areas.

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How does it work?

Traditional monitoring relies on sporadic patrols and manual inspections, making illegal logging hard to detect promptly. AI-driven geospatial analytics deliver continuous surveillance and automate anomaly detection, enabling faster intervention and evidence collection.

Real-Time Alerts: The platform ingests satellite and drone imagery continuously, applying AI models to flag new clearings or roads. Instant notifications allow enforcement teams to respond within hours instead of days.
High-Resolution Monitoring: Combines multispectral satellite, aerial drone, and SAR data for detailed forest imagery. This multi-source approach overcomes cloud cover and provides sub-meter resolution in critical zones.
Automated Change Detection: AI algorithms compare sequential imagery layers to identify canopy loss and logging roads. Automated workflows reduce manual analysis time by over 70%, focusing team attention on verified incidents.
Evidence Documentation: Generates timestamped maps, geotagged photos, and change logs for legal proceedings. Exportable reports integrate imagery, coordinates, and model confidence scores for robust case files.
Scalable Coverage: Processes petabytes of geospatial data across millions of hectares, adapting to any forest region. Cloud-based architecture supports simultaneous monitoring of multiple protected areas without performance degradation.
Integration with GIS: Seamlessly exports alerts and layers to popular GIS platforms and law enforcement databases via APIs. This interoperability simplifies coordination between field teams and command centers.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does Forest Patrol compare to manual aerial surveys?: Unlike manual surveys that require scheduling and human analysis, our platform automates data processing and provides continuous monitoring. AI-driven detection reduces time-to-alert from weeks to hours while covering larger areas with lower operational costs.
What makes this solution more popular than conventional ranger patrols?: Field teams increasingly adopt AI analytics for proactive monitoring, as it scales across remote zones and delivers higher detection rates. Its ability to integrate multiple data sources makes it more reliable than sole reliance on ground patrols.
Are there limitations under dense canopy or poor weather conditions?: Cloud cover and thick canopy can obscure optical imagery, but the platform leverages SAR and LiDAR inputs to mitigate gaps. In extreme cases, repeated acquisitions and sensor fusion maintain detection accuracy above 85%.
Can I use alternative satellite data sources like Sentinel or Planet?: Yes, the system supports public sources such as Sentinel-1 SAR and Sentinel-2 multispectral, as well as commercial providers like PlanetScope and Maxar. Users can prioritize data streams based on resolution, revisit frequency, and budget.
How popular is AI-based forestry analytics among enforcement agencies?: Over 30 forest departments worldwide have adopted geospatial AI platforms for monitoring protected areas. These agencies report up to 50% faster incident response times and improved prosecution success rates.
What are the main limitations of automated illegal logging detection?: Detection accuracy may drop in heterogeneous landscapes with mixed land use, requiring filter tuning and occasional human review. Data latency from satellite revisit intervals can delay alerts by up to 48 hours without drone support.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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