Water Pollution
With hyperspectral sensing, our water-monitoring applications can help assess water quality, detect algal build-up, and track pollution events.
Deforestation
Changes in the vegetation levels and reflections generated by the canopy signal indicate deforestation activities. Once followed-up over time and with targeted imagery, you can monitor vast areas automatically for any illegal logging.
Leaks & Spills
Remote sensing cannot always directly observe the relevant phenomenon. However, it can detect signs or related patterns. Substance leakages can be indicated by changes in vegetation or other unusual activity along pipelines.
TACR
This project is financed from the state budget by the Technology Agency of the Czech Republic and the Ministry of the Environment within the “Prostředí pro život” Programme.
Regular satellite overview
Monitor large areas regularly to detect relevant activity.
Targeted drone deployment
Deploy drones to verify hotspots capture imagery day and night.
TRULY Platform
Combine satellite and drone data analyze together in one interface.
AI Change Detection
Optional field verification; reporting and evidence packaging for internal workflows.
Continuous Monitoring
Satellite and drone system enables continuous monitoring using affordable technology.
Scalable Setup
Add drones satellites nodes to increase coverage
capability and cost-efficiency.
Questions and Downloads
How does it scale from regional to national coverage?
The brochure states that adding drones, communication nodes and satellites increases cost-efficiency, coverage and capability.
What are the key limitations (especially for optical imagery)?
Cloud cover can obstruct optical imagery and reduce accuracy for tasks like change detection and interpretation. That’s why the brochure’s satellite→drone verification loop is operationally useful.
What is the role of hyperspectral sensing in water monitoring?
On this page, hyperspectral sensing is used to help assess water quality, detect algal build-up, and track pollution events.
This aligns with peer-reviewed evidence showing hyperspectral remote sensing is effective for water-quality indicators and harmful algal bloom monitoring.