Smarter Vegetation Intelligence. From Space to Street Trees.

Smarter Vegetation Intelligence. From Space to Street Trees.
What is Geoneon Vegetation?
Choose Your Resolution
- 01 Standard
- 02 Advanced
Scalable mapping from Sentinel-2 imagery
- 10m Resolution
- Canopy height (average, min, max)
- Foliage cover (percent crown cover)
Tree-level mapping from satellite or aerial imagery
- Sub-metre Resolution
- Tree canopy segmentation
- Height estimation
What Can You Do with Geoneon Vegetation?
Support cooler, greener, more equitable cities
Track tree cover, height, and distribution across streets, suburbs, or entire cities. Used by planners, councils, and regulators to guide greening programs, enforce compliance, and reduce heat exposure.

Monitor forest health, loss, and regrowth
Detect vegetation change over time using satellite data. Identify canopy loss, degradation, or recovery — and feed data into ecosystem models or reporting frameworks.

Map vegetation to support bushfire planning and regulation
Generate vegetation overlays aligned with national or local wildfire-prone area definitions. Use for bushfire zoning, hazard overlays, and planning scheme compliance.

Visualise the Impact
Bring your data to life with side-by-side comparisons that show how Geoneon Vegetation transforms raw imagery into meaningful insights — from broad-scale mapping to individual tree segmentation.
Sentinel-2 to Structure
View how high-resolution satellite imagery is converted into vegetation height layer using our Standard product.


Very-High-Resolution to Tree-Level Structure
See high-resolution outputs from our Advanced product, including tree segmentation and height estimation.


Change Over Time
Explore multi-epoch visualisations that reveal vegetation loss, regrowth, or seasonal change — ideal for monitoring forest health or land clearing.


How It Works
Geoneon Vegetation combines the latest in Earth observation and artificial intelligence to deliver vegetation intelligence at any scale. Here is how it all comes together:
Global satellite and aerial imagery
We use high-resolution inputs — from open-source satellites to commercial providers — to map vegetation anywhere on Earth.
Trained on LiDAR-validated datasets
Our deep learning models are trained on billions of pixels of satellite and LiDAR data, enabling accurate height and cover estimation even where ground truth is limited.
Data in your hands — any way you need it
We deliver outputs in standard geospatial formats, ready to integrate into your workflows: GeoTIFF/ Shapefile, Web services (WMS/WFS), Webmaps.
Proven Accuracy
We do not just claim accuracy — we measure it. Every Geoneon Vegetation model is validated using held-out regions never used in training, ensuring real-world performance across diverse environments.
Used by
Government agencies, regulators, city councils, utilities, and national programs rely on our models for environmental reporting, compliance monitoring, and risk assessment.
Applications
Bhutan Forest Fire Exposure Index: Enhancing Resilience Through Geospatial Insights
Case Study: Infrastructure Vulnerability to Climatic Disasters in Bhutan
Case Study: Developing an Urban Forest Strategy for the City of Launceston

Ready to Map Smarter?
Whether you are mapping a continent or monitoring a canopy street by street, Geoneon Vegetation scales with your ambition.