NEO likes to contribute to a healthy and liveable living environment. For some time, we have been monitoring trees using the Tree Register, together with our partners in the open data corporation Tree Register. In doing so, we use remote sensing data such as laser scan data, aerial photos and also satellite images. These are all open datasets. So we can always provide an up-to-date overview of trees (including tree crowns and height and other characteristics).
With our tree risk services we go a step further. We are using Artificial Intelligence (AI) techniques to extract even more useful information from that open data, for example, stem positions, which we derive from laser altimetry data. With these more precise stem positions, useful insights can be extracted. For example, on which cadastral plot the tree is located, so that it becomes clear to whom the tree belongs and which rules apply.
Another important application is that we can also better estimate where root packs are located. This helps designers and soil excavators to better assess the risks to what is present in the subsurface early in the design process and optimally align the design with the environment.
What is the best alignment? How many metres of trenching or drilling is involved? We deliver the information in such a way that it is easy to integrate with other sources of information (such as soil quality, archaeology, etc.) and so an integrated assessment can be made. If our information contributes to damage prevention and to more pleasant work for groundworkers, we are happy.
I am happy to advise you.
