AI Wildfire Risk Assessment · No-Code

Map the risk before the spark.

FlyPix AI is the no-code wildfire risk assessment software that turns satellite, aerial, and drone imagery into fuel maps, dryness layers, and exposure scores you can act on — covering whole landscapes and saving up to 99.7% of manual analysis time.

★★★★★Trusted by 10,000+ geospatial users · No credit card required
RISK SCAN · LIVE
SRC satellite + multispectral
AOI 8,400 km²
RISK 214 high-risk parcels · Δ +6%
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Backed & powered by NVIDIA Inception Program Google for Startups IBM for Startups ESA BIC Hessen
The Benchmark

Assessing one landscape by hand takes 997 seconds.
FlyPix AI takes 3.

A single area of interest can hold thousands of vegetation parcels, defensible-space gaps, and encroachment points scattered across hundreds of square kilometres. Manual surveying never keeps pace with a drying season. FlyPix AI maps and scores them instantly, so prevention work is targeted before fire weather arrives.

Manual review
997s
to review one dense scene by hand

Crews walk parcels and interpret imagery by hand, season after season. Fuel maps go stale, high-risk gaps slip through, and mitigation budgets are spent where the danger is lowest.

VS
AI analysis by FlyPix
3s
for the same scene, fully detected

Up to 99.7% time saved. Consistent, georeferenced fuel and exposure layers you can update over time and export straight into your planning GIS.

99.7%
Time saved vs. manual
10,000+
Active users
6+
Data formats supported
8400s
km² assessed per run
What is wildfire risk assessment software?

AI fuel and exposure mapping for prevention, without the code.

Wildfire risk assessment software is a tool that ingests and analyses imagery to map fuel load, vegetation dryness, and exposure so teams can reduce risk before a fire starts. FlyPix AI is a no-code platform that uses artificial intelligence to classify fuel types, score defensible space and wildland-urban interface exposure, and flag vegetation encroachment across satellite, aerial, and drone imagery. You upload your captures, label a handful of examples, and the AI engine builds a custom model and runs assessment across the whole area of interest — turning weeks of manual surveying into minutes of decision-ready risk maps.

Capabilities

Everything you need to assess wildfire risk

One platform to map, classify, score, and prioritise across every landscape you capture — from a single property to a region-wide interface.

Fuel-load & dryness mapping

Map vegetation biomass and moisture stress from multispectral bands to see where fuel is heaviest and driest.

Fuel-type classification

Segment the landscape into fuel-type and land-cover classes that drive how quickly and intensely fire can spread.

Defensible space & WUI exposure

Score clearance around homes and assets and flag wildland-urban interface zones where exposure is highest.

Encroachment near assets

Detect vegetation growing into power-line corridors, roads, and critical infrastructure before it becomes an ignition path.

Risk-zone & susceptibility mapping

Combine fuel, dryness, slope, and exposure into susceptibility maps that rank where risk is concentrated.

No-code custom models

Train a detector for the exact fuel or feature you care about by labelling a few examples — no programming.

How it works

From raw imagery to risk map in four steps

A no-code workflow built so foresters, land managers, and planners — not just data scientists — can run production-grade assessment.

STEP 01

Upload your imagery

Bring satellite, aerial, or drone captures in any common format — RGB, multispectral, SAR, or LiDAR.

STEP 02

Label what matters

Mark a few examples of fuel types, dry vegetation, or encroachment. A handful is enough for the engine to learn.

STEP 03

Let the AI assess

FlyPix builds a model from your labels and maps, classifies, and scores risk across the whole area of interest.

STEP 04

Explore & export

Review results on interactive maps and dashboards, then export vector layers to your planning GIS.

FlyPix AI workspace showing AI object detection on geospatial imagery
Supported Data

One platform for every risk-mapping source

Risk assessment is more than true-colour pictures. FlyPix AI ingests the full range of remote-sensing data — gauge vegetation vigour and dryness with multispectral bands, measure canopy height and structure with LiDAR, and map terrain through cloud with SAR — all in one workspace.

See all supported formats
RGB & true-color
Standard satellite, aerial & drone imagery
Supported
Multispectral
Vegetation, water & land-use analysis
Supported
Hyperspectral
Fine-grained material & spectral analysis
Supported
LiDAR
Elevation, volumes & 3D terrain
Supported
SAR (Synthetic Aperture Radar)
All-weather, day-or-night monitoring
Supported
API & GIS integration
Automate workflows, export vector layers
Supported
Why FlyPix

Why prevention teams choose FlyPix AI

The platform removes the bottlenecks that slow risk assessment: manual surveying, specialist headcount, rigid formats, and tooling that cannot keep pace with a changing landscape.

Assessment in seconds

Map and score thousands of parcels across a full landscape in seconds instead of weeks of fieldwork — and refresh it as conditions change.

A true no-code platform

Foresters and land managers train and run AI models 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 band for fuel, dryness, and structure.

Scales to any area

Assess a single property or sweep an entire region at the cadence your prevention programme demands.

Customer Reviews

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.

Hannes Olbrich
Hannes Olbrich
Head of Investor Office · acitoflux, Germany

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.

Ali Tehranchi
Ali Tehranchi
CEO · Bayscenary, USA

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.

Jordan Bates
Jordan Bates
Researcher · University of Liège, Belgium

What surprised us most was how effortless it was to start. The platform is robust, easy to navigate, and extremely reliable.

Krishna Mohan
Krishna Mohan
Business Head · Stesalit Systems Ltd., India

FlyPix AI helped us automate land-use classification with incredible precision and speed, saving months of manual work.

Rohit Singh
Rohit Singh
Director · Intent to Solution, India

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.

Robin Engelhard
Robin Engelhard
Chairman · Second Life e.V., Germany
Start assessing

Turn your imagery into a prevention plan.

Create an account and run your first AI risk assessment on a landscape in minutes — no credit card, no code. Want help scoping your workflow? Our geospatial team will set it up with you.

Get started Book a consultation Free to start · Set up with an expert
FAQ

Wildfire risk assessment software, answered

The questions foresters, land managers, and planners ask before switching to AI-powered risk mapping.

What is wildfire risk assessment software?
Wildfire risk assessment software ingests and analyses imagery to map fuel load, vegetation dryness, and exposure so teams can reduce risk before a fire starts. AI-powered platforms like FlyPix AI automatically classify fuel types, score defensible space and wildland-urban interface exposure, and flag vegetation encroachment across satellite, aerial, and drone imagery, turning weeks of manual surveying into minutes of georeferenced risk maps.
Do I need coding or GIS expertise to use FlyPix AI?
No. FlyPix AI is a no-code platform. You upload imagery, label a few examples of what you want to map, and the AI engine builds a model and runs assessment across your whole area of interest automatically — no programming or deep machine-learning knowledge required.
How does FlyPix AI map fuel load and vegetation dryness?
FlyPix AI reads multispectral bands to gauge vegetation vigour and moisture stress, then classifies the landscape into fuel types and maps where biomass is heaviest and driest. The result is a georeferenced fuel-load and dryness layer you can update through the season and use to target mitigation.
Can FlyPix AI assess defensible space and WUI exposure?
Yes. FlyPix AI scores the clearance around homes, assets, and infrastructure, and delineates wildland-urban interface zones where structures meet flammable vegetation, so you can prioritise the properties and corridors most exposed to fire.
What imagery and data formats does FlyPix AI support?
FlyPix AI supports satellite, aerial, and drone imagery in RGB, multispectral, and hyperspectral formats, plus LiDAR for canopy structure and Synthetic Aperture Radar (SAR) for mapping through cloud. It exports vector layers to your GIS and planning tools.
How much time can FlyPix AI save versus manual analysis?
FlyPix AI can save up to 99.7% of analysis time. In FlyPix benchmarks, dense-landscape assessment that takes roughly 997 seconds by hand is completed by the AI engine in about 3 seconds.
Can I try FlyPix AI on my own imagery?
Yes. You can create an account and start assessing your own imagery, or request a guided demo to see fuel mapping, fuel-type classification, defensible-space scoring, and custom model training applied to landscapes from your region.
See the risk, decoded

See the risk before the fire.

Join 10,000+ users automating image analysis with FlyPix AI. Upload your first landscape and watch the AI map fuel, dryness, and exposure in seconds.