Watch the land recover.
FlyPix AI is the no-code mine rehabilitation software that turns satellite, drone, and multispectral captures into revegetation progress, erosion and landform change, and disturbed-vs-restored area accounting you can act on — covering an entire closure area and saving up to 99.7% of manual monitoring time.
Auditing a rehabilitation area by hand takes 997 seconds.
FlyPix AI takes 3.
A single closure domain spans regraded landforms, revegetated cells, drainage lines, and residual disturbance across hundreds of hectares. Walking transects and digitising cover by hand does not scale across seasons. FlyPix AI measures and outlines recovery instantly, so monitoring keeps pace with every new capture.
Officers walk transects, score cover, and digitise disturbance by hand, season after season. Results are slow, inconsistent, costly, and out of date before the next audit lands.
Up to 99.7% time saved. Consistent, georeferenced cover, area, and change metrics you can trend over time and export straight into your closure-plan, ESG, and GIS reporting.
AI closure and reclamation monitoring, without the code.
Mine rehabilitation software is a tool that ingests and analyses imagery of a closure area to measure revegetation, track landform and erosion, and evidence reclamation progress against the closure plan. FlyPix AI is a no-code platform that uses artificial intelligence to monitor ground-cover recovery, account for disturbed versus restored area, flag erosion and landform instability, and track water and drainage across satellite, drone, multispectral, and LiDAR data. You upload your captures, label a handful of examples, and the AI engine builds a custom model and runs monitoring across the whole closure domain — turning weeks of field audits into minutes of decision-ready insight.
Everything you need to monitor mine rehabilitation
One platform to measure cover, account for area, detect change, and report progress across every capture — from a single revegetation cell to an entire closure estate.
Revegetation & cover monitoring
Measure ground-cover and vegetation establishment from multispectral imagery to evidence revegetation success against completion criteria.
Disturbed-vs-restored accounting
Map and measure disturbed, regraded, and restored area across the lease so you can account for every hectare with full audit trails.
Erosion & landform stability
Compare repeat captures to detect gullying, rilling, slumping, and landform movement on rehabilitated slopes before it becomes a failure.
Water & drainage tracking
Track ponding, drainage-line integrity, and surface-water expression across the closure area to confirm landforms shed water as designed.
Progress against plan
Trend rehabilitation milestones against the closure plan and completion criteria to surface where domains are ahead, behind, or at risk.
No-code custom models
Train a detector for the exact feature you care about — a weed outbreak, an erosion scar, a bare patch — by labelling a few examples, no programming.
From capture to closure report in four steps
A no-code workflow built so rehabilitation officers, environmental teams, and closure planners — not just data scientists — can run production-grade monitoring.
Upload your captures
Bring drone, satellite, or aerial imagery plus multispectral or LiDAR — any common format works.
Label what matters
Mark a few examples of the cover, erosion, or disturbance you want to track. A handful is enough for the engine to learn.
Let the AI monitor
FlyPix builds a model from your labels and measures cover, accounts for area, and detects change across the whole closure domain.
Explore & report
Review recovery and change on interactive maps and dashboards, then export vector layers and area accounting to your closure-plan, ESG, and GIS tools.
One platform for every sensor over the closure area
Rehabilitation monitoring is more than true-colour pictures. FlyPix AI ingests the full range of remote-sensing data — assess vegetation vigour and ground cover with multispectral bands, measure landform and slope with LiDAR, and monitor through cloud and dust with SAR — all in one workspace.
See all supported formats →Built for every closure team
Train models for the exact features your rehabilitation programme cares about and get monitoring tailored to your site.
Revegetation & reclamation
Cover & establishment
Open-pit closure
Backfill & regrade
Tailings rehabilitation
Caps & ponding
Landform & geotech
Slope & erosion
Environmental compliance
Disturbance & dust
ESG & closure reporting
Progress & evidence
Soil & ground cover
Bare ground & vigour
Coal & minerals
Surface-mine closure
Regulators & assurance
Bond & audit
Weeds & biodiversity
Outbreaks & habitat
Why closure teams choose FlyPix AI
The platform removes the bottlenecks that slow rehabilitation monitoring: manual field audits, inconsistent scoring, specialist headcount, and tooling that cannot keep pace with new captures.
Monitoring in seconds
Measure cover and detect change across a full closure area in seconds instead of weeks of field audits — and repeat it on every new capture.
Evidence recovery objectively
Replace subjective transect scoring with consistent, georeferenced cover and area metrics you can defend to regulators and stakeholders.
A true no-code platform
Rehabilitation and environmental teams train and run AI models on their own captures — no programming, no data-science team, no vendor queue.
Scales to any closure estate
Monitor a single revegetation cell or trend an entire portfolio of legacy sites 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 your captures into closure evidence.
Create an account and run your first AI rehabilitation analysis on a closure capture in minutes — no credit card, no code. Want help scoping your workflow? Our geospatial team will set it up with you.
Mine rehabilitation software, answered
The questions rehabilitation officers, environmental teams, and closure planners ask before switching to AI-powered monitoring.
What is mine rehabilitation software?
Do I need coding or GIS expertise to use FlyPix AI?
How does FlyPix AI monitor revegetation and ground cover?
Can FlyPix AI track progressive rehabilitation against the closure plan?
How does FlyPix AI detect erosion and landform instability?
How much time can FlyPix AI save versus manual monitoring?
Can I try FlyPix AI on my own closure imagery?
See how your rehabilitation is recovering.
Join 10,000+ users automating geospatial analysis with FlyPix AI. Upload your first capture and watch the AI measure cover, account for area, and track change in seconds.