AI Wetland Mapping · No-Code

Delineate every marsh, mangrove, and peatland.

FlyPix AI is the no-code wetland mapping software that turns satellite, SAR, and multispectral pixels into wetland boundaries, vegetation classes, and inundation change you can act on — covering whole catchments and saving up to 99.7% of manual delineation time.

★★★★★Trusted by 10,000+ geospatial users · No credit card required
WETLAND SCAN · LIVE
SRC SAR + multispectral
AOI 6,920 km²
WETLAND 840 km² · Δ -4.7%
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Backed & powered by NVIDIA Inception Program Google for Startups IBM for Startups ESA BIC Hessen
The Benchmark

Delineating one scene by hand takes 997 seconds.
FlyPix AI takes 3.

A single scene can hold hundreds of kilometres of wetland edge — where saturated ground, open water, and upland blur into one another — across an entire catchment. Tracing those boundaries by hand does not scale, and seasonal inundation moves them constantly. FlyPix AI delineates and outlines every wetland instantly, so mapping keeps pace with every new pass.

Manual review
997s
to review one dense scene by hand

Specialists trace wetland boundaries and vegetation zones by hand, scene after scene. Results are inconsistent, slow, and out of date before they reach a conservation or permitting team.

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

Up to 99.7% time saved. Consistent, georeferenced wetland boundaries and vegetation classes you can trend over time and export straight into your conservation reports and GIS.

99.7%
Time saved vs. manual
10,000+
Active users
6+
Data formats supported
1000s
km² mapped per pass
What is wetland mapping software?

AI wetland delineation and monitoring, without the code.

Wetland mapping software is a tool that ingests and analyses imagery to delineate wetland boundaries, classify wetland vegetation, and monitor wetland change across the landscape. FlyPix AI is a no-code platform that uses artificial intelligence to outline marshes, mangroves, peatlands, and swamps, separate vegetation zones, and flag loss, degradation, and inundation change across satellite, SAR, and multispectral imagery. You upload your captures, label a handful of examples, and the AI engine builds a custom model and runs delineation across the whole area of interest — turning hours of manual mapping into minutes of decision-ready insight.

Capabilities

Everything you need to map wetlands

One platform to delineate, classify, measure, and monitor wetlands across every scene you capture — from a single marsh to an entire coastal catchment.

Wetland boundary delineation

Automatically outline marshes, swamps, mangroves, and peatlands and convert their fuzzy edges into clean georeferenced vectors.

Wetland vegetation classification

Separate reed beds, sedge, mangrove canopy, and saturated grassland into mapped classes for habitat and condition reporting.

Hydroperiod & inundation mapping

Track how far and how long a wetland holds water across the seasons to characterise its hydroperiod from optical or SAR imagery.

Loss & restoration change

Compare repeat passes to surface wetland loss, drainage, encroachment, and restoration gains over months or years.

All-weather SAR mapping

See saturated ground and inundation through cloud, smoke, and darkness with Synthetic Aperture Radar — vital in monsoon and tidal settings.

No-code custom models

Train a detector for the exact wetland feature you care about — a mangrove fringe, a peat hummock, an invasive reed stand — by labelling a few examples, no programming.

How it works

From raw imagery to wetland map in four steps

A no-code workflow built so ecologists, regulators, and restoration teams — not just data scientists — can run production-grade wetland mapping.

STEP 01

Upload your imagery

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

STEP 02

Label what matters

Mark a few examples of the wetland or vegetation class you want to map. A handful is enough for the engine to learn.

STEP 03

Let the AI delineate

FlyPix builds a model from your labels and outlines, classifies, and measures wetlands across the whole scene.

STEP 04

Explore & export

Review wetland boundaries and vegetation classes on interactive maps and dashboards, then export vector layers to your conservation tools and GIS.

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

One platform for every sensor over the wetland

Wetland mapping is more than true-colour pictures. FlyPix AI ingests the full range of remote-sensing data — separate vegetation zones and saturated ground with multispectral bands, detect inundation through cloud and darkness with SAR, and measure canopy and micro-topography with LiDAR — 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 wetland teams choose FlyPix AI

The platform removes the bottlenecks that slow wetland mapping: manual delineation, specialist headcount, rigid formats, and tooling that cannot keep pace with seasonal inundation and rapid loss.

Mapping in seconds

Delineate wetlands and classify vegetation across a full scene in seconds instead of hours of manual tracing — and repeat it on every new pass.

All-weather by design

Combine optical, multispectral, and SAR in one workspace so you can map saturated ground and inundation even through cloud, smoke, and darkness.

A true no-code platform

Ecologists and regulators train and run AI models on their own imagery — no programming, no data-science team, no vendor queue.

Scales to any catchment

Map a single marsh or sweep an entire coastal catchment at the cadence your mission 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 mapping

Turn your imagery into wetland maps.

Create an account and run your first AI wetland delineation 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.

Try it now Request a demo Free to start · Set up with an expert
FAQ

Wetland mapping software, answered

The questions ecologists, regulators, and restoration teams ask before switching to AI-powered wetland mapping.

What is wetland mapping software?
Wetland mapping software ingests and analyses imagery to delineate wetland boundaries, classify wetland vegetation, and monitor wetland change across the landscape. AI-powered platforms like FlyPix AI automatically outline marshes, mangroves, and peatlands, separate vegetation zones, and flag loss and inundation change across satellite, SAR, and multispectral imagery, turning hours of manual delineation into minutes of georeferenced insight.
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 the wetland you want to map, and the AI engine builds a model and runs delineation across your whole area of interest automatically — no programming or deep machine-learning knowledge required.
Can FlyPix AI help with wetland delineation for permitting and compliance?
Yes. FlyPix AI produces consistent, georeferenced wetland boundaries and vegetation classes you can use for delineation reports, Ramsar and regulatory documentation, and permitting reviews. Because every map is repeatable, results stand up to scrutiny far better than hand-traced boundaries that vary between analysts.
How does FlyPix AI map wetland vegetation and hydroperiod?
FlyPix AI uses multispectral bands to separate wetland vegetation classes such as reed, sedge, and mangrove canopy, and combines optical and SAR signals to track how long and how far water sits on the ground across the seasons. You can refine results by labelling a few examples of the specific vegetation or inundation pattern you care about.
What imagery and data does FlyPix AI support for wetland mapping?
FlyPix AI supports satellite, aerial, and drone imagery in RGB, multispectral, and hyperspectral formats, plus Synthetic Aperture Radar (SAR) for all-weather inundation mapping and LiDAR for canopy and micro-topography. It exports vector layers to your conservation tools and GIS.
How much time can FlyPix AI save versus manual mapping?
FlyPix AI can save up to 99.7% of mapping time. In FlyPix benchmarks, dense-scene wetland delineation 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 mapping your own imagery, or request a guided demo to see wetland delineation, vegetation classification, change detection, and custom model training applied to scenes from your region.
See the wetland breathe

See where your wetlands really are.

Join 10,000+ users automating geospatial analysis with FlyPix AI. Upload your first scene and watch the AI delineate every marsh, mangrove, and peatland in seconds.