Geospatial AI
Many questions about land, infrastructure and movement can be answered from images taken from above and from location records, but there is far more of this data than people can look through.
We build systems that go through it automatically. They find and outline what is on the ground and show what has changed since the last pass, and they turn location records into figures planners can use.
What geospatial AI does
Geospatial AI works with data that has a place attached to it: satellite and aerial images, drone surveys, maps and records of where vehicles, assets or people are. Models learn to recognize features such as buildings, fields, roads, power lines or water, and to measure them.
The same area is photographed again and again, so the most useful output is often a comparison with last month: what was built, cleared, flooded or damaged, and which assets need a closer look. Results come as map layers and lists your teams can plan work from.
What we build
Feature mapping
Finding and outlining buildings, roads, fields, vegetation or assets across large areas, and keeping the map up to date.
Change detection
Comparing images of the same place over time to flag new construction, land-use change, damage or encroachment.
Site and resource analysis
Assessing possible sites for a plant, store or facility by combining imagery with terrain, access and other map data.
Asset, corridor and crop monitoring
Checking power lines, pipelines or rail lines for vegetation and damage, and sending field inspections where they are needed. Following fields, forests or pastures through the season for growth, stress or damage.
Location intelligence
Turning location and movement records into figures on routes, coverage, catchment areas or demand by region.
When it's a good fit
Geospatial AI is worth building when the same question comes up about a large area again and again, and people can no longer review it by hand. It may not be needed when:
- the area is small enough that a person can review it in reasonable time
- an existing map or register already answers the question well
- the decision needs detail that the available images cannot show, so a site visit is needed anyway
How a project runs
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Define what to find and where
We decide with you which features or changes matter, the area to cover and how often. This determines which images and resolution are needed.
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Choose and prepare the data
We select suitable image sources and other map layers, align them, and set aside areas people have already checked to compare the results against.
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Train and check against verified areas
We train the models and measure them on verified areas from different seasons and regions. A field that simply looks different in winter should not be flagged as a change on the ground.
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Deliver as map layers
We load the results into your existing map or planning tools. When new images arrive, the analysis reruns and the results are checked again against verified areas.
Making results reliable
Satellite and aerial images always have gaps and limits, and the results show clearly where they are.
Clouds, shadows and gaps
Cloud cover, haze and shadows hide parts of an image. The system marks those parts as unseen and does not guess what is under them.
Resolution limits
Some details are too small to make out in the available images. We say up front what can be measured at a given resolution.
What you receive
- Map layers and lists of detected features or changes
- A measured comparison against verified areas, including where the model is weaker
- Code and documentation, handed over to your team
Frequently asked questions
Can satellite imagery detect new construction?
Yes. Comparing images of the same place over time shows new buildings, cleared land and other changes. How small a change can be detected depends on the resolution of the images.
Do we need our own satellite images?
No. A clear question and the area you care about are enough to start, and we use any images or map data you already have. If you have no images yet, we can help you choose a source.
How long does a geospatial AI project take?
A first phase usually covers a limited area, which is enough to judge whether the approach works. How quickly that happens depends mostly on access to images and verified examples.
Will the results open in our mapping tools?
Usually, yes. We deliver results as standard map layers and tables that the mapping and planning tools your teams already use can open.
Can satellite and drone images be processed on our own servers?
Yes. If you prefer, images, maps and results are processed on your own servers or private cloud, and sensitive locations stay there.
Our products in this area
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