Classify every pixel.
FlyPix AI is the no-code land cover classification software that labels every pixel of satellite, aerial, and drone imagery — water, vegetation, built-up, bare soil, forest, cropland — covering thousands of square kilometres and saving up to 99.7% of manual digitising time.
Classifying one scene by hand takes 997 seconds.
FlyPix AI takes 3.
A single scene holds millions of pixels that each belong to a land-cover class. Drawing those boundaries by hand does not scale. FlyPix AI segments and labels every pixel instantly, so your class maps keep pace with every new capture.
Analysts digitise polygons and assign classes by eye, scene after scene. Boundaries are inconsistent, slow to produce, and out of date before the map is published.
Up to 99.7% time saved. Consistent, georeferenced class maps you can measure, validate against ground truth, and export straight into your GIS.
Pixel-level land-cover mapping from above, without the code.
Land cover classification software analyses imagery and assigns every pixel to a land-cover class — such as water, vegetation, built-up, bare soil, forest, or cropland. FlyPix AI is a no-code platform that uses artificial intelligence to perform supervised semantic segmentation across satellite, aerial, and drone imagery. You upload your captures, label a few examples of each class, and the AI engine learns your scheme and classifies the whole area of interest — turning hours of manual digitising into minutes of decision-ready class maps.
Everything you need to classify land cover
One platform to segment, label, measure, and validate every class across every scene you capture — from a single tile to a national mosaic.
Pixel-level classification
Assign every pixel to a land-cover class with semantic segmentation, not just bounding boxes around objects.
Custom class schemes
Define the exact legend your work needs — water, forest, cropland, built-up, bare soil, wetland — and map to standards.
Supervised mapping
Label a handful of examples per class and the engine learns your scheme and classifies the full area of interest.
Class statistics
Measure the area and share of each class across your scene with georeferenced accuracy for reporting.
Accuracy assessment
Validate results against ground-truth samples and review per-class accuracy before you publish the map.
Any sensor, any band
Classify with RGB, multispectral, hyperspectral, LiDAR, and SAR — use the bands that separate your classes best.
From raw imagery to class map in four steps
A no-code workflow built so analysts, planners, and mappers — not just data scientists — can run production-grade classification.
Upload your imagery
Bring satellite, aerial, or drone captures in any common format — RGB, multispectral, SAR, or LiDAR.
Define & label classes
Set up your class scheme and mark a few examples of each land-cover type. A handful per class is enough.
Let the AI classify
FlyPix builds a model from your labels and segments every pixel into your classes across the whole scene.
Validate & export
Review the class map and accuracy on interactive maps, then export georeferenced class layers to your GIS.
One platform for every sensor in orbit
Land cover is more than true-colour pictures. FlyPix AI ingests the full range of remote-sensing data — separate vegetation classes with multispectral bands, classify through cloud and darkness with SAR, and use LiDAR terrain to refine boundaries — all in one workspace.
See all supported formats →Built for every mapping team
Train models for the exact land-cover classes your mission cares about and get classification tailored to your domain.
Agriculture
Crop & field classes
Forestry
Forest & canopy cover
Urban planning
Built-up & green space
Water & coastal
Water bodies & wetland
Environment
Habitat & land cover
Mining
Bare soil & tailings
Mapping & GIS
Base-map class layers
Energy
Land cover for siting
Government
National land cover
Construction
Site surface classes
Why teams choose FlyPix AI
The platform removes the bottlenecks that slow land-cover mapping: manual digitising, specialist headcount, rigid formats, and tooling that cannot keep pace with new captures.
Classification in seconds
Label millions of pixels across a full scene in seconds instead of hours of manual digitising — and repeat it on every new capture.
A true no-code platform
Analysts and mappers train and run AI classifiers on their own imagery — no programming, no data-science team, no vendor queue.
Multi-sensor by design
Combine optical, multispectral, hyperspectral, SAR, and LiDAR in one workspace and pick the bands that separate your classes.
Scales to any area
Classify a single tile or map an entire country at the cadence your mission demands, with one consistent scheme.
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 class maps.
Create an account and run your first AI land-cover classification in minutes — no credit card, no code. Want help scoping your class scheme? Our geospatial team will set it up with you.
Land cover classification software, answered
The questions analysts, planners, and mappers ask before switching to AI-powered classification.
What is land cover classification software?
Do I need coding or GIS expertise to use FlyPix AI?
How does AI land cover classification work?
Can I define my own land-cover classes?
What imagery and data formats does FlyPix AI support?
How much time can FlyPix AI save versus manual classification?
Can I try FlyPix AI on my own imagery?
See every class your imagery is made of.
Join 10,000+ users automating image analysis with FlyPix AI. Upload your first scene and watch the AI classify every pixel in seconds.