TreeSense Wiki

Manually adjust the limits for your trees

In the cloud, a tree’s health is visualized using a traffic-light system. Green indicates that the tree has sufficient water and does not need to be watered. Orange indicates the onset of drought stress and recommends watering. Red signals a water shortage and requires urgent watering. This makes it possible to see at a glance at any time […]

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How is a tree's color determined?

In the cloud, a tree’s health (tree status) is represented by traffic light colors. Green indicates that the tree is not suffering from drought stress, orange indicates that it is drying out, and red indicates a tree that is dry. This color-coding system allows you to intuitively assess the condition of your trees at a glance. The tree status depends on […]

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Case Study: Soil Analyses at Munich Airport

At Munich Airport, many trees do not have natural access to groundwater. Large areas of the airport are built over with underground parking garages, on top of which a layer of soil with trees has been placed. This construction method cuts off the roots from the groundwater, which is why all trees must be watered continuously even after their juvenile phase. With the help of a comprehensive monitoring system for tracking tree […]

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Case Study: Dendrological Construction Supervision in Rastatt

As part of the construction of the new municipal swimming pool complex in Rastatt, a park located between the canal and the river—an area with a high water table—is being redesigned. The planned excavation work requires the water to be pumped out, which will lower the water table and thus endanger the trees in the park. To prevent drought stress in the existing trees, the trees will be […]

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Integrate sensor data using the TreeSense API

Want to integrate TreeSense sensor data directly into your own application? The TreeSense API makes this possible. You can find all available commands in the documentation. The following Python example shows you how to retrieve data points from a specific sensor. Loading Python packages First, we’ll load the necessary Python packages. import requests import os from dotenv import load_dotenv Login credentials securely […]

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Case Study: Mistletoe Infestation in Nymphenburg Palace Park

The historic linden trees in Nymphenburg Palace Park dominate the landscape—but a growing mistletoe infestation is taking a noticeable toll on them. A key question arises between preservation and intervention: How much pruning is necessary, and how much pruning is possible without weakening the tree? The Bavarian Palace Administration has investigated this question in collaboration with TreeSense using data-driven methods. The goal is […]

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