Predict where habitat can thrive.
FlyPix AI is the no-code habitat suitability modeling software that turns land cover, vegetation, water, and terrain from satellite, aerial, and drone imagery into suitability surfaces for species and habitats — covering thousands of square kilometres and saving up to 99.7% of manual analysis time.
Modelling one suitability scene by hand takes 997 seconds.
FlyPix AI takes 3.
Suitability depends on many environmental variables at once — land cover, vegetation, water, terrain, and connectivity — woven across a landscape. Deriving and combining them by hand does not scale across a range or a region. FlyPix AI extracts every variable and models the suitability surface automatically, so planning keeps pace with every new capture.
Ecologists digitise variables and weight them by hand, scene after scene. Assumptions drift between modellers, connectivity is guessed, and suitability maps arrive long after the landscape has moved on.
Up to 99.7% time saved. Consistent, georeferenced suitability surfaces with ranked classes and connectivity you can track over time and export straight into your GIS and conservation plans.
AI suitability mapping for any landscape, without the code.
Habitat suitability modeling software is a tool that analyses imagery of a landscape to derive environmental variables and combine them into surfaces that predict where a species or habitat can thrive. FlyPix AI is a no-code platform that uses artificial intelligence to extract land cover, vegetation, water, and terrain, and model suitability and connectivity across satellite, aerial, and drone imagery. You define your area of interest and label a few habitat or occurrence examples, and the engine maps every environmental variable, ranks suitability across the range, and compares scenarios over time — turning slow manual modelling into minutes of decision-ready, plan-ready insight.
Everything you need to model habitat suitability
One platform to extract variables, model suitability, map connectivity, and track change across the landscapes you steward — from a single reintroduction site to an entire range.
Environmental variable extraction
Derive land cover, vegetation, water, and terrain layers from imagery — the predictors every suitability model depends on.
Suitability surface modelling
Combine variables into ranked suitability surfaces that show where a species or habitat is most and least likely to thrive.
Connectivity & corridors
Model how suitable patches link across a landscape to plan wildlife corridors and reduce isolation between populations.
Reintroduction site ranking
Score and compare candidate sites by suitability so reintroduction and translocation target the strongest ground.
Suitability change over time
Compare dated captures and scenarios to surface where suitability is gained, lost, or shifting across the range.
Impact & mitigation modelling
Test how roads, development, or restoration reshape suitability so you can plan mitigation before habitat is lost.
From raw imagery to suitability surface in four steps
A no-code workflow built so ecologists, planners, and conservation teams — not just data scientists — can run production-grade habitat suitability modelling.
Set your range
Define the range, reintroduction site, or region you want to model and connect satellite, aerial, or drone captures.
Label your evidence
Mark a few habitat or species-occurrence examples, or use the built-in land-cover model to derive the predictors.
Let the AI model
FlyPix extracts environmental variables, ranks suitability, and maps connectivity across the landscape automatically.
Plan & export
Review suitability on interactive maps, compare scenarios, and export suitability rasters and reports to your GIS.
Model suitability with every sensor available
Robust suitability modelling needs more than true-colour pictures. FlyPix AI ingests the full range of remote-sensing data — read vegetation vigour with multispectral bands, model terrain and canopy structure with LiDAR, and map water and see through cloud with SAR — all in one workspace, so every environmental variable feeds the surface.
See all supported formats →Built for every nature-focused team
Train models for the exact species and habitats your mission cares about and get suitability mapping tailored to your landscape.
Conservation
Ranges & corridors
Forestry
Habitat & tree cover
Wetlands & coastal
Marsh & shoreline suitability
Government
Nature policy & planning
ESG & finance
Nature-related disclosure
Agriculture
Field margins & habitat
Mining
Offset & rehabilitation siting
Energy
Corridor impact & siting
Research
Ecology & species modelling
Climate & nature
Range shift & resilience
Why teams choose FlyPix AI
The platform removes the bottlenecks that slow habitat suitability modelling: manual variable digitising, specialist headcount, inconsistent weighting, and tooling that cannot keep pace with new captures.
Suitability surfaces in seconds
Extract variables and model suitability across a full landscape in seconds instead of hours of manual processing — and repeat it on every new capture.
A true no-code platform
Ecologists and planners build and run AI suitability models on their own imagery — no programming, no data-science team, no vendor queue.
Multi-sensor by design
Combine optical, multispectral, LiDAR, and SAR to derive vegetation, terrain, and water variables the right way for each landscape.
Plan-ready evidence
Dated, georeferenced suitability surfaces and connectivity you can defend in conservation, reintroduction, and impact-mitigation planning.
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 suitability intelligence.
Create an account and model your first suitability surface in minutes — no credit card, no code. Want help scoping your modelling workflow? Our geospatial team will set it up with you.
Habitat suitability modeling software, answered
The questions ecologists, planners, and conservation teams ask before switching to AI-powered suitability modelling.
What is habitat suitability modeling software?
Do I need coding or GIS expertise to use FlyPix AI?
What environmental variables can FlyPix AI derive from imagery?
How does FlyPix AI model habitat connectivity and corridors?
Can FlyPix AI track how suitability changes over time?
How much time can FlyPix AI save versus manual analysis?
Can I try FlyPix AI on my own range or site?
See where your species can thrive.
Join 10,000+ users automating geospatial modelling with FlyPix AI. Set your range and watch the AI extract, rank, and map suitability in seconds.