Skip to content

Monitor vegetation clearing, recovery and condition across large areas

Geoneon uses satellite imagery and spatial analysis to detect where vegetation has changed, track how it recovers through time, and assess condition and structure across landscapes, assets and project areas.

VEGETATION SOLUTIONS

Understand what is changing, recovering or needing attention

Geoneon applies spatial intelligence across vegetation monitoring questions to help organisations detect clearing, follow recovery and understand condition or structure across large areas.

CLEARING

Detect where vegetation has changed or been removed

Use repeat satellite observations and spatial analysis to identify vegetation clearing or significant change across large areas and through time, helping focus review where change is most likely to matter.

Typical uses
Clearing detection · change between reporting periods · corridor or asset monitoring · prioritising areas for field review

Satellite image from 7 July 2025 showing a detected 9.723 hectare vegetation clearing area outlined in red
RECOVERY

Track how vegetation is recovering through time

Use repeat satellite observations and spatial analysis to measure vegetation recovery after disturbance or rehabilitation, compare progress between areas, and identify locations where recovery is slower or warrants closer review.

Typical uses
Rehabilitation monitoring · recovery trends through time · comparison with reference or analogue vegetation · prioritising areas for field inspection or management

AI vegetation classification showing live cover, non-live cover and bare ground around a transmission corridor
CONDITION

Understand vegetation condition and structure across the landscape

Use satellite imagery and spatial analysis to assess vegetation characteristics such as cover, canopy and height, helping identify spatial patterns, compare areas and track how condition changes through time.

Typical uses
Vegetation cover · canopy assessment · vegetation height and structure · condition indicators · spatial comparison

Vegetation-height analysis showing spatial variation from zero to more than 30 metres
OUR APPROACH

Project-specific analysis, not one fixed model

The approach is configured around the vegetation question, geography, available data and level of evidence required. Depending on the project, this may combine satellite imagery, temporal analysis, vegetation indices, classification, canopy or height information, GIS analysis and reference data.

Machine learning may be used where it improves a defined analysis, rather than being treated as the product itself.

Have a vegetation monitoring question?

Tell us whether you need to understand clearing, recovery or condition. We can help define an appropriate spatial analysis and monitoring approach.