Monitoring with satellite data

Satellite images are perfect for gaining a very good overview (even retrospectively!) of your forest areas.

Here, too, we use data from high-resolution cameras (1 pixel corresponds to 50 x 50 cm) to provide you with the most precise information possible about the condition of your forest.

The best part: This analysis is particularly cost-effective!

Satellites capture images at fixed times—if clouds are over your forest area at that moment, unfortunately, we can only see them and must wait for the next cloud-free overpass. However, thanks to the rapidly growing number of satellites in space, these intervals are becoming increasingly shorter.

Satellite data is the first choice for:

✔ Regular forest monitoring
✔ Assessing harvest and removal volumes
✔ Detecting calamities and other land-use-dependent changes

If the vitality or even the population of tree groups or forest areas changes over time, this is reliably detected, and you may even receive an alarm notification if necessary.

If you receive a warning or need details about irregularities, you can decide whether to inspect the site yourself to determine the cause and exact extent or whether you would like additional, current, and detailed information from aerial or drone images.

Monitoring with drones and aircraft

Aerial images from aircraft and drones are particularly well suited for detailed, tree-level analysis of your forest. This allows irregularities and anomalies detected in satellite data analysis to be further evaluated and precisely localized.

We collaborate with trusted local providers for aerial surveys to save time and travel costs. However, you can also capture the aerial images yourself or source them from a pilot of your choice. If the image data meets our technical requirements as outlined in our guidelines, we will be happy to analyze it for you!

Vitality classes

We take environmental factors such as haze, humidity, vegetation periods, and solar angles into account when classifying images. To provide you with fast and effortless access to information, we use artificial intelligence and deep learning technologies.

In our app and reports, we classify coniferous trees and forest areas into the following categories:

  • vita1 – unchanged
  • vita2 – slightly changed
  • vita3 – significantly reduced vitality
  • vita4 – severely changed (e.g., dry, missing, fallen)

You can define at which level of change an alert should be triggered and whether you would like to receive automatic notifications.

All information is clearly accessible via our app and in your familiar GIS work environment.