Status of urban trees
Optimizing the maintenance of green areas
At Agforest, we turn satellite imagery and artificial intelligence (AI) into allies for public administrations and green space maintenance companies to optimize costs and minimize risks.
-
Inventory
Inventory update
Through semantic segmentation and LiDAR data integration, we automatically identify and characterize urban trees, estimating crown diameter and height to facilitate the updating of the municipal inventory.
-
Prediction
Risk prediction
We apply satellite analysis and time series, identify early signs of stress and anomalies in urban trees, generating dynamic risk maps that allow us to prioritize maintenance and predict risks.
-
Monitoring
Tree monitoring
High-frequency satellite images to continuously monitor urban trees, detecting dead trees, abnormal growth, and evaluating the effectiveness of actions, with a comprehensive and up-to-date overview.
-
Irrigation
Precision irrigation
We identify the actual water needs of urban trees, isolating the crown of each specimen using semantic segmentation to estimate its stress level and enable precision irrigation that optimizes maintenance.
Open missions and commercial images
We feed our technology with satellite images from open missions (Copernicus) or the latest, very high-resolution commercial data.
We select information sources based on objectives, needs, and data update requirements in order to optimize the necessary resources.
Analysis through artificial intelligence
We process data collected from satellite images and other geospatial information sources. We apply artificial intelligence to analyze all variables of the territory.
The application of cutting-edge technology provides us with information for developing predictive models to mitigate imbalances in the territory and provide measures that increase resilience.
Analytical tools
Agforest seeks to empower its customers to make improving livability a collaborative effort. We develop our own software for processing information.
This system includes proprietary tools for data correlation and insight extraction. Proprietary technology that allows for maximum customization.
Interactive geospatial visualization
Everything that happens, happens somewhere. We are usually skeptical: if we don’t see it, we don’t believe it. We integrate Agforest’s developments into a platform designed by our team specifically for the geographical representation of data.
Any questions? We have the answers
What type of satellite images are used?
We use a combination of data sources for each need. For continuous monitoring, we rely on constellations such as Sentinel (10m/pixel). For maximum precision analysis, such as canopy segmentation, we work with very high resolution (VHR) images of up to 30 cm per pixel. These images include up to 8 spectral bands, allowing us to analyze in detail the photosynthetic activity and actual health status of the vegetation.
How can a satellite tell if a tree is "stressed"?
A healthy tree and one suffering from water stress or pest infestation reflect sunlight differently, especially in bands of the spectrum that are invisible to the human eye (such as near infrared). Our algorithms are trained to detect these subtle variations in the “spectral signature” of vegetation, allowing us to identify problems long before they are apparent to the naked eye.
Do we need to have a prior inventory of trees?
It is not essential, but it is recommended. One of our main services is the automated creation or updating of inventories. If you have baseline data, the results will be more accurate and will allow you to understand the evolution of the trees.
Does your service replace field maintenance teams?
No, it empowers them. Our platform is a decision support tool. We don’t replace the expertise of pruners and gardeners, but rather provide them with a smart roadmap so they can direct their efforts where they are most needed, optimizing their time and increasing the effectiveness of their work.