Zone the forest before the fire season.
FlyPix AI is the no-code forest fire risk zone mapping software that turns satellite, aerial, and drone imagery into a zoned risk map — low, moderate, high, and extreme — for land-use and prevention planning across whole regions, saving up to 99.7% of manual mapping time.
Zoning one region by hand takes 997 seconds.
FlyPix AI takes 3.
A single region holds thousands of polygons where fuel, dryness, slope, aspect, and distance to ignition sources have to be weighed together before a class can be assigned. Drawing those boundaries by hand never keeps pace with a changing landscape. FlyPix AI combines the layers and classifies every parcel instantly, so the zoning map is ready before planning decisions are made.
Planners overlay maps and draw zone boundaries by hand, region after region. Classes are subjective, transitions are inconsistent, and the map is out of date before it reaches the land-use committee.
Up to 99.7% time saved. Consistent, georeferenced risk zones you can re-run as conditions change and export straight into your planning GIS.
AI risk zonation for land-use and prevention planning, without the code.
Forest fire risk zone mapping software is a tool that combines fire-influencing factors and classifies a region into ranked risk zones — typically low, moderate, high, and extreme — for planning. FlyPix AI is a no-code platform that uses artificial intelligence to weigh fuel load and type, vegetation dryness, slope and aspect, and proximity to ignition sources and settlements, then draws the boundaries between classes across satellite, aerial, and drone imagery. You upload your captures and input layers, label a handful of examples, and the AI engine builds a model and zones the whole region — turning weeks of manual map overlay into minutes of a decision-ready zoning map.
Everything you need to map fire-risk zones
One platform to combine factors, classify zones, and draw boundaries across every region you map — from a single watershed to a whole administrative district.
Fuel-load & fuel-type layers
Derive vegetation biomass and fuel-type classes from multispectral bands as the foundation input for zonation.
Slope & aspect weighting
Read terrain from LiDAR and DEMs so steep, sun-facing slopes that accelerate spread are weighted into each zone.
Proximity to ignition sources
Factor in distance to roads, settlements, and power-line corridors where most forest ignitions begin.
Multi-factor classification
Combine fuel, dryness, terrain, and proximity into a single weighted model that assigns each parcel a risk class.
Zoned cartographic output
Produce a clean, georeferenced map of low, moderate, high, and extreme zones ready for the planning table.
No-code custom models
Tune the weighting and zone classes to your region by labelling a few examples — no programming.
From raw imagery to zoning map in four steps
A no-code workflow built so foresters, land-use planners, and civil-protection teams — not just data scientists — can produce production-grade zoning.
Upload imagery & layers
Bring satellite, aerial, or drone captures plus terrain in any common format — RGB, multispectral, SAR, or LiDAR.
Define your zones
Mark a few examples of low, moderate, high, and extreme parcels. A handful is enough for the engine to learn the classes.
Let the AI zone the region
FlyPix weighs fuel, dryness, slope, aspect, and proximity, then classifies the whole region into risk zones.
Explore & export
Review the zoning map on interactive dashboards, then export vector zones to your planning GIS.
One platform for every zoning input
Risk zonation is more than a true-colour picture. FlyPix AI ingests the full range of remote-sensing data — read fuel and dryness with multispectral bands, derive slope and aspect from LiDAR and elevation, and map terrain through cloud with SAR — and combines them into one weighted zoning map.
See all supported formats →Built for every team that zones fire risk
Tune the factors and classes your region cares about and get a zoning map tailored to your planning mandate.
Forestry
Stand & treatment zoning
Government
Land-use & civil protection
Emergency planning
Pre-season zone maps
Land-use planning
Zoning & development
Utilities
Corridor zone exposure
Insurance
Zonal exposure & underwriting
Environment
Habitat & climate zoning
Urban interface
Wildland-urban zoning
Agriculture
Rangeland & fuel-break zones
Mapping & GIS
Zone-layer extraction
Why planning teams choose FlyPix AI
The platform removes the bottlenecks that slow risk zonation: manual map overlay, specialist headcount, rigid formats, and tooling that cannot keep pace with a changing region.
Zoning in seconds
Classify thousands of parcels into ranked zones across a full region in seconds instead of weeks of manual overlay — and re-run it as conditions change.
A true no-code platform
Foresters and planners tune and run AI zoning on their own imagery — no programming, no data-science team, no vendor queue.
Multi-sensor by design
Combine optical, multispectral, LiDAR, and SAR in one workspace and pick the right input for fuel, dryness, and terrain.
Scales to any region
Zone a single watershed or sweep an entire district at the cadence your planning programme demands.
What geospatial teams say
From industrial pilots to research labs to environmental missions — see how teams put FlyPix AI to work.
We ran a joint pilot with FlyPix AI in an industrial setting. We were impressed by the dedicated, easy-to-work-with team, their expertise, and how quickly they applied the technology to a novel use case.
FlyPix AI helped us go from idea to proof of concept in record time. The team was responsive, the platform was easy to integrate, and we tested geospatial insights on real property data within days.
FlyPix AI made it remarkably easy to turn drone imagery into actionable results — truly next-gen tech, delivering AI-driven analysis and cloud computing within minutes without complex setups.
What surprised us most was how effortless it was to start. The platform is robust, easy to navigate, and extremely reliable.
FlyPix AI helped us automate land-use classification with incredible precision and speed, saving months of manual work.
Working with FlyPix has significantly elevated the impact of our clean-up missions. We're proud to collaborate with a team that shares our commitment to environmental responsibility.
Turn your imagery into a zoning map.
Create an account and run your first AI risk zonation on a region in minutes — no credit card, no code. Want help scoping your workflow? Our geospatial team will set it up with you.
Forest fire risk zone mapping software, answered
The questions foresters, land-use planners, and civil-protection teams ask before switching to AI-powered risk zonation.
What is forest fire risk zone mapping software?
How is risk-zone mapping different from wildfire detection or risk assessment?
Do I need coding or GIS expertise to use FlyPix AI?
Which factors does FlyPix AI combine into the risk zones?
What imagery and data formats does FlyPix AI support?
How much time can FlyPix AI save versus manual analysis?
Can I try FlyPix AI on my own region?
See where the risk concentrates.
Join 10,000+ users automating image analysis with FlyPix AI. Upload your first region and watch the AI zone it into low, moderate, high, and extreme risk in seconds.