
Brno-Líšeň District Office
Use of existing data

Unique environment for selecting an area for analysis
- Area for analysis selected by clicking on the map
- Selected area highlighted in blue

Analysis complete – visual
- Selection of visualization type and map layer
- Simple download of analysis results

Detail of a selected tree from the analysis
- Display of the tree ‘card’ from the map and additional information
- Option to view from different angles
Cities, Regions & Trees:
The Bottom Line
We collaborated with GEODROM and INTEGRA on this analysis project covering both urban and rural areas. Thanks to their technologies, it is possible to thoroughly document road surroundings and capture high-quality data using vehicle-mounted cameras or LiDAR. As experienced market leaders, they also have a deep understanding of the requirements and complexities involved in mapping various municipal and regional elements, providing valuable insights into inventory challenges.
Long story short:
3 days. 200 km. And 10,000 surveyed trees.

roadside.vision in practice

Spoiler alert:
Transparent pricing per kilometer of road, not per number of trees.
Unique advantage for public tenders.
9 hours of driving → 225,000 photos
2 days of work → overview of 10,000 trees
200 km of roads mapped
With almost 100% certainty,
we locate and identify individual trees along roadsides,
achieving a 90% success rate in urban areas.
Output Examples

Detection of existence
- Freestanding trees
- Built-up area (municipality) – 91% sensitivity, 16% error rate
- Outside built-up area (outside municipality) – 99% sensitivity, 1% error rate
- Groups of trees and continuous stands

Location
(average error +-20cm)
- Tree positioning – knowing its exact location
- Distance from the edge of the road

Genus and tree parameters
(average error +- 15%)
- TOP 3 genus predictions
- Tree height
- Trunk diameter
- Trunk circumference
- Crown diameter, wood volume upon request

Indication of health and safety
(80% accuracy)
- Vitality – 65% sensitivity
- Health – 60% sensitivity
- Stability – 20% sensitivity
- Safety – 20% sensitivity