Fire Scar Mapping

Real-time wildfire detection and burn scar mapping from satellite and drone imagery to guide emergency response and ecological recovery planning.

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How does it work?

Delayed wildfire detection and manual burn mapping slow emergency response and hinder post-fire recovery planning. AI-driven geospatial analytics delivers rapid fire identification and precise scar delineation to improve resource deployment and rehabilitation efforts.

Rapid Fire Alerts: Leverages near real-time satellite data and machine learning to detect fire hotspots within minutes. This faster alerting reduces detection latency by up to 50% compared to manual monitoring, enabling quicker response.
Accurate Burn Scar Delineation: High-resolution imagery and AI segmentation models trace burn boundaries precisely. This leads to more reliable area estimations and supports targeted rehabilitation strategies.
Multi-Source Data Fusion: Combines satellite, drone, and ground sensor inputs in a unified analysis pipeline. This fusion improves detection robustness and ensures comprehensive coverage across varied terrains.
Resource Allocation Efficiency: Prioritizes fire hotspots based on severity and spread predictions. Emergency teams can allocate personnel and equipment more effectively, reducing operational costs.
Improved Incident Safety: Early detection and precise mapping minimize exposure of firefighting crews to uncontrolled fires. Safety protocols are enhanced by real-time geospatial intelligence feeds.
Long-Term Recovery Insights: Historical burn scar data is analyzed to identify vegetation regrowth patterns and soil erosion risks. This supports strategic planning for reforestation and ecosystem restoration efforts.

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 AI-based detection compare to traditional watchtower monitoring?: AI detection uses optical and thermal imagery to identify hotspots automatically, eliminating reliance on human observation. This leads to faster, more consistent alerts and reduces blind spots common in tower-based systems.
Why is this approach popular among forestry managers?: Forestry managers adopt AI geospatial analytics for its ability to provide continuous, scalable monitoring across large forest areas. The popularity stems from actionable insights that improve response times and recovery planning.
What are the limitations of satellite burn scar mapping?: Satellite mapping can be hindered by cloud cover and revisit frequency, delaying detection in obstructed areas. It also may lack sub-meter resolution, requiring complementary drone surveys for fine-scale analysis.
Can the system detect fires under dense canopy or clouds?: Dense canopy and heavy cloud cover can obscure thermal signals in optical imagery, reducing detection accuracy. To address this, the system integrates SAR data and periodic drone flights to penetrate obstructions.
How does drone imagery enhance mapping compared to satellites?: Drones offer higher spatial resolution and flexible deployment, capturing sub-centimeter details of burn patterns and ground conditions. This enhances mapping precision and fills temporal gaps between satellite passes.
Are there alternative methods for burn scar mapping if imagery is unavailable?: Ground surveys and manual GPS tracing can map burn scars but are time-consuming and expose personnel to hazards. Aerial LIDAR surveys provide high accuracy but at much higher cost and logistical complexity.

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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