Map surface mineralogy from orbit.
FlyPix AI is the no-code satellite mineral mapping software that turns multispectral and hyperspectral satellite data into alteration zones, mineral-group maps, and spectral indices for iron oxides, clays, and carbonates — covering thousands of square kilometres of reconnaissance ground and saving up to 99.7% of manual interpretation time.
Mapping one scene by hand takes 997 seconds.
FlyPix AI takes 3.
A single regional satellite scene can hold iron-oxide staining, clay alteration, and carbonate units spread across thousands of square kilometres. Working band ratios and spectral classes by hand does not scale. FlyPix AI derives indices and classifies mineralogy instantly, so reconnaissance keeps pace with every new acquisition.
Geologists compute band ratios, threshold indices, and label spectral classes scene by scene. Results are subjective, slow, and inconsistent between analysts and acquisition dates.
Up to 99.7% time saved. Consistent, georeferenced mineral and alteration maps you can trend across acquisitions and export straight into your GIS and exploration database.
AI surface mineralogy and alteration mapping, without the code.
Satellite mineral mapping software is a tool that analyses the spectral response of the ground from satellite data to map surface mineralogy and alteration over large areas. FlyPix AI is a no-code platform that uses artificial intelligence to derive spectral indices and band ratios, classify mineral groups, and outline alteration zones — clays, iron oxides, and carbonates — across multispectral and hyperspectral satellite data. You upload your scene, label a handful of known spectral classes, and the AI engine builds a custom model and maps mineralogy across the whole acquisition — turning days of band-by-band interpretation into minutes of decision-ready maps.
Everything you need to map mineralogy from satellite data
One platform to derive indices, classify minerals, and outline alteration across every scene you acquire — from a single tile to a regional reconnaissance mosaic.
Surface mineralogy mapping
Map the dominant surface minerals across a scene from satellite spectra, separating groups the eye cannot tell apart in true colour.
Alteration zone classification
Classify clay, iron-oxide, and carbonate alteration into mappable zones to outline hydrothermal footprints over wide areas.
Spectral indices & band ratios
Derive band ratios and mineral indices automatically to highlight iron oxides, clays, and carbonates from multispectral and hyperspectral bands.
Regional reconnaissance
Sweep thousands of square kilometres of unmapped ground in a single pass to prioritise where to look more closely.
Multi-date comparison
Compare mineral maps from repeat acquisitions to track exposure, weathering, and surface change over time.
No-code custom models
Train a classifier for the exact spectral signature you care about — a gossan, an alteration assemblage, a carbonate unit — by labelling a few examples, no programming.
From satellite scene to mineral map in four steps
A no-code workflow built so exploration and survey geologists — not just spectral specialists — can run production-grade mineral mapping.
Upload your scene
Bring multispectral or hyperspectral satellite data in any common format, from a single tile to a regional mosaic.
Label spectral classes
Mark a few known mineral or alteration examples — an iron-oxide stain, a clay zone, a carbonate unit. A handful is enough for the engine to learn.
Let the AI map
FlyPix derives indices and band ratios, classifies mineral groups, and outlines alteration zones across the whole acquisition.
Explore & export
Review mineral and alteration maps on interactive maps and dashboards, then export georeferenced layers to your GIS and exploration database.
One platform for every band over the ground
Mineral mapping is more than true-colour pictures. FlyPix AI ingests the full range of satellite remote-sensing data — separate mineral groups with multispectral and hyperspectral bands, read terrain and exposure with LiDAR, and complement spectral maps with SAR through cloud and vegetation — all in one workspace.
See all supported formats →Built for every mapping team
Train classifiers for the exact mineralogy your ground cares about and get maps tailored to your terrain and deposit style.
Regional reconnaissance
Belt-scale mineral mapping
Mining & exploration
Surface mineralogy
Alteration mapping
Clays & iron oxides
Geological survey
Regional spectral maps
Hydrothermal systems
Alteration zonation
Lithium & rare earths
Host mineral mapping
Remote sensing & GIS
Spectral classification
Environmental mapping
Acid drainage & staining
Major miners
Reconnaissance pipelines
Junior explorers
Fast ground triage
Why mapping teams choose FlyPix AI
The platform removes the bottlenecks that slow satellite mineral mapping: manual band ratios, specialist headcount, rigid formats, and tooling that cannot keep pace with new acquisitions.
Mapping in seconds
Derive indices and classify mineralogy across a full scene in seconds instead of days of manual band-ratioing — and repeat it on every new acquisition.
A true no-code platform
Geologists train and run AI classifiers on their own satellite data — no programming, no spectral-analysis team, no vendor queue.
Multi-sensor by design
Combine multispectral, hyperspectral, SAR, and LiDAR in one workspace and pick the right bands for the mineral group you are chasing.
Scales to any area
Zoom in on a single outcrop or sweep an entire reconnaissance belt at the cadence your 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 satellite data into mineral maps.
Create an account and run your first AI mineral map on a satellite scene in minutes — no credit card, no code. Want help scoping your workflow? Our geospatial team will set it up with you.
Satellite mineral mapping software, answered
The questions exploration and survey geologists ask before switching to AI-powered spectral mapping.
What is satellite mineral mapping software?
Do I need coding or spectral expertise to use FlyPix AI?
Which minerals and alteration can FlyPix AI map from satellite data?
What satellite data and formats does FlyPix AI support?
How large an area can FlyPix AI map at once?
How much time can FlyPix AI save versus manual interpretation?
Can I try FlyPix AI on my own satellite data?
See what your ground is made of.
Join 10,000+ users automating geospatial analysis with FlyPix AI. Upload your first satellite scene and watch the AI derive indices, classify minerals, and outline alteration in seconds.