AI NDVI Mapping · No-Code

Map vegetation vigour.

FlyPix AI is the no-code NDVI mapping software that turns multispectral satellite and drone imagery into georeferenced vegetation-index maps — computing NDVI, NDRE, and EVI across thousands of hectares and saving up to 99.7% of manual processing time.

★★★★★Trusted by 10,000+ geospatial users · No credit card required
NDVI MAP · LIVE
SRC multispectral
BANDS red + NIR
NDVI 0.71 mean · Δ +0.06
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Backed & powered by NVIDIA Inception Program Google for Startups IBM for Startups ESA BIC Hessen
The Benchmark

Processing one NDVI scene by hand takes 997 seconds.
FlyPix AI takes 3.

A single multispectral capture holds millions of pixels that each carry a red and near-infrared value. Computing, calibrating, and interpreting the index by hand does not scale. FlyPix AI builds the full NDVI map instantly, so vigour analysis keeps pace with every new flyover.

Manual review
997s
to review one dense scene by hand

Technicians stitch bands, run index formulas in a GIS, and eyeball the result tile by tile. The workflow is slow, inconsistent, and stale before the next pass.

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

Up to 99.7% time saved. Consistent, georeferenced vegetation-index maps you can track over time and export straight into your GIS.

99.7%
Time saved vs. manual
10,000+
Active users
6+
Data formats supported
8,640ha
Indexed per pass
What is NDVI mapping software?

Vegetation-index maps from multispectral imagery, without the code.

NDVI mapping software computes the Normalised Difference Vegetation Index from the red and near-infrared bands of imagery to map how vigorous vegetation is across an area. FlyPix AI is a no-code platform that uses artificial intelligence to calculate NDVI and related indices, delineate in-field variability, and track greening across multispectral satellite, aerial, and drone imagery. You upload your captures, and the engine builds calibrated, georeferenced index maps — turning hours of band maths into minutes of decision-ready insight.

Capabilities

Everything you need to map vegetation indices

One platform to compute NDVI, reveal variability, and track vigour across every scene you capture — from a single plot to a whole region.

NDVI computation

Compute the Normalised Difference Vegetation Index pixel by pixel from the red and near-infrared bands, calibrated and ready to map.

Vigour & biomass mapping

Translate index values into clear vigour and biomass maps that show exactly where vegetation thrives and where it lags.

In-field variability

Reveal the spatial variability inside a field or stand and delineate it into zones you can act on.

Time-series greening

Compare index maps across dates to track greening, peak vigour, and senescence through the season.

Beyond NDVI

Go past NDVI with NDRE, EVI, and SAVI to see canopy nitrogen, dense growth, and soil-adjusted vigour.

Any multispectral source

Work with multispectral satellite and drone imagery and pick the bands the index you need requires.

How it works

From raw bands to an NDVI map in four steps

A no-code workflow built so agronomists, surveyors, and operators — not just data scientists — can produce production-grade index maps.

STEP 01

Upload multispectral imagery

Bring satellite, aerial, or drone captures carrying red and near-infrared bands in any common format.

STEP 02

Choose your index

Pick NDVI, NDRE, EVI, or SAVI — the engine knows which bands each index needs and how to combine them.

STEP 03

Let the AI compute

FlyPix calibrates the bands and builds a georeferenced index map across the whole area of interest.

STEP 04

Explore & export

Review vigour maps and variability zones on interactive layers, then export the index rasters to your GIS.

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

One platform for every multispectral source

NDVI mapping starts with bands, not true-colour pictures. FlyPix AI ingests the full range of multispectral imagery — read vigour from satellite red and NIR bands, fly fields with multispectral drones, and add red-edge bands for NDRE — 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 teams choose FlyPix AI

The platform removes the bottlenecks that slow NDVI mapping: manual band maths, specialist headcount, rigid formats, and tooling that cannot keep pace with new captures.

Index maps in seconds

Compute a calibrated NDVI map across a full scene in seconds instead of hours of manual GIS work — and repeat it on every new flyover.

A true no-code platform

Agronomists and operators compute and map vegetation indices on their own imagery — no programming, no data-science team.

More than one index

Move beyond NDVI to NDRE, EVI, and SAVI in the same workspace and choose the right index for the question.

Scales to any area

Map vigour in a single plot or sweep an entire region at the cadence your season or survey 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 bands into vigour maps.

Create an account and compute your first NDVI map in minutes — no credit card, no code. Want help scoping your workflow? Our geospatial team will set it up with you.

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FAQ

NDVI mapping software, answered

The questions agronomists, surveyors, and operators ask before switching to AI-powered vegetation-index mapping.

What is NDVI mapping software?
NDVI mapping software computes the Normalised Difference Vegetation Index from the red and near-infrared bands of imagery and renders it as a georeferenced map of vegetation vigour. AI-powered platforms like FlyPix AI calibrate the bands, build the index map across satellite and drone imagery, and reveal in-field variability automatically — turning hours of manual band maths into minutes of insight.
How is NDVI calculated?
NDVI is calculated as the difference between the near-infrared and red reflectance divided by their sum, giving a value between -1 and 1. Healthy, vigorous vegetation reflects strongly in the near-infrared and absorbs red light, so it scores high. FlyPix AI computes this for every pixel and maps the result without any manual formulas.
Do I need coding or GIS expertise to use FlyPix AI?
No. FlyPix AI is a no-code platform. You upload multispectral imagery, choose the index you want, and the engine calibrates the bands and builds a georeferenced index map automatically — no programming or deep remote-sensing knowledge required.
What imagery and bands does FlyPix AI need for NDVI?
FlyPix AI works with multispectral satellite, aerial, and drone imagery that carries at least a red and a near-infrared band. For red-edge indices such as NDRE it uses the red-edge band, and it exports georeferenced index layers to your GIS and analysis tools.
Can FlyPix AI map indices beyond NDVI?
Yes. Alongside NDVI, FlyPix AI computes related vegetation indices including NDRE for canopy nitrogen, EVI for dense growth, and SAVI for soil-adjusted vigour, so you can choose the index that best answers your question.
How much time can FlyPix AI save versus manual processing?
FlyPix AI can save up to 99.7% of processing time. In FlyPix benchmarks, NDVI scene processing 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 computing index maps on your own multispectral imagery, or request a guided demo to see NDVI, NDRE, and EVI mapping, variability zones, and time-series tracking applied to scenes from your domain.
See vegetation, decoded

See what your bands are showing.

Join 10,000+ users automating image analysis with FlyPix AI. Upload your first multispectral scene and watch the AI map its vigour in seconds.