Swimming pools (inventory)

In collaboration with EAVISE (KU Leuven) we use Deep Learning to detect swimming pools based on orthophotos. This gives us at a glance insight into where swimming pools are located, how large they are and how the swimming pool pattern develops over time.

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About this service

Product

De inventarisatie van zwembaden wordt uitgevoerd op basis van onze true orthofoto's (GSD vanaf 3 cm), gecombineerd met AI-modellen die in samenwerking met KU Leuven (EAVISE) zijn ontwikkeld. Lees het volledig wetenschappelijk artikel over de samenwerking met KU Leuven.Het eindproduct is beschikbaar in twee varianten, namelijk op:Perceelsniveau: een shapefile waarin elk perceel (GRB - ADP) wordt aangeduid met een binaire waarde (zwembad: ja/nee)Objectniveau: een shapefile met individuele zwembaden, inclusief oppervlakteberekening per zwembad.De dataset kan worden geïntegreerd in elk GIS-platform of rechtstreeks worden gekoppeld aan de Plan3D Webviewer, zodat je eenvoudig kunt visualiseren, analyseren en combineren met andere lagen zoals gebouwen, percelen of verharding.

Format & Delivery

We deliver the data in ready-to-use GIS formats and the desired coordinate systems, fully checked for quality. Thanks to our standard data structure, the dataset integrates seamlessly into existing databases and workflows.

Our commitment to you

Our swimming pool inventory is AI-driven but always human-validated. Every delivery undergoes a thorough quality control process, ensuring a minimal margin of error and maximum reliability.

At a glance

AI-driven

GIS-ready

Flexible level of detail

The value of our product

AI-driven detection with academic support

Our detection models were developed in collaboration with EAVISE (KU Leuven), a leading research group in visual AI. This guarantees innovative algorithms and reliable results. These Deep Learning algorithms automatically recognise swimming pools based on shape, colour, reflection and contextual features. After the automated detection, a thorough quality control is carried out by our specialists to minimise incorrect classifications. This gives us a reliability of over 95%.

Flexibly applicable at every level

We think along with your application and deliver the data in the form that best suits your needs. At parcel level the dataset is ideal for policy analyses, tax applications and permit management, while at object level detailed information is available for spatial planning, environmental studies and real estate analyses. We also hold historical datasets and carry out new captures every two years, allowing you to track developments over time, such as the growth of paved surfaces or trends in swimming pool installations.

Integration with dashboards and reporting

The results can be integrated directly into dashboards, allowing automatic reports and statistics to be generated. For example, you can track the distribution of swimming pools, carry out trend analyses over time or visualise policy impacts at map level.

AI-driven detection with academic support

Our detection models were developed in collaboration with EAVISE (KU Leuven), a leading research group in visual AI. This guarantees innovative algorithms and reliable results. These Deep Learning algorithms automatically recognise swimming pools based on shape, colour, reflection and contextual features. After the automated detection, a thorough quality control is carried out by our specialists to minimise incorrect classifications. This gives us a reliability of over 95%.

Flexibly applicable at every level

We think along with your application and deliver the data in the form that best suits your needs. At parcel level the dataset is ideal for policy analyses, tax applications and permit management, while at object level detailed information is available for spatial planning, environmental studies and real estate analyses. We also hold historical datasets and carry out new captures every two years, allowing you to track developments over time, such as the growth of paved surfaces or trends in swimming pool installations.

Integration with dashboards and reporting

The results can be integrated directly into dashboards, allowing automatic reports and statistics to be generated. For example, you can track the distribution of swimming pools, carry out trend analyses over time or visualise policy impacts at map level.

De meerwaarde van ons product

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Asbestos roofs

By 2040, Flanders must be asbestos-safe. Our aerial imagery and Deep Learning flag which roofs are suspected per address, so we can work together efficiently towards a healthier and safer living environment.

read more

Trees - 3-30-300

Get a complete overview of trees in your area, including individual characteristics such as crown area and height, and use the data to apply the European 3-30-300 rule for optimal urban greening. Ideal for municipalities, planners and green space managers who need accurate, scalable and policy-relevant geospatial data.

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Solar panels

Get a detailed map layer of solar panels at building or cluster level, including surface area calculations per cluster. Ideal for anyone working with geospatial data who wants insight into energy potential and roof utilisation.

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Public space

Get a detailed map layer of the public space with classification by object and material. Ideal for anyone working with geospatial data who needs more detail than existing reference data provides.

read more

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Get a detailed map layer of swimming pools at parcel or object level, including surface area calculations. Ideal for anyone using geospatial data for policy analysis, permits or trend research.

read more

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Get a complete inventory of all road markings within your project area, classified into objects, lines and surfaces and linked to the correct underlying surface. This gives you objective data to support maintenance planning, reporting and policy decisions around mobility and asset management.

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Custom inventories

Do you need a specific inventory that is not yet in our offering? We develop custom inventories tailored to your project. Thanks to our experience with aerial imagery and Deep Learning, we can detect and map almost any object type. Get in touch to discuss the possibilities.

Get in touch

Use cases

Cities & municipalities

Gain insight into existing swimming pools within the municipality, support permit policy and regulatory compliance.

Water management & environment

Use the data to better estimate water consumption or infiltration capacity, and evaluate the impact on flood-prone zones.

Real estate & spatial planning

Link swimming pool data to real estate valuation, energy management or spatial analyses to better understand trends and developments in impervious surfaces and land use.

Cities & municipalities

Gain insight into existing swimming pools within the municipality, support permit policy and regulatory compliance.

Water management & environment

Use the data to better estimate water consumption or infiltration capacity, and evaluate the impact on flood-prone zones.

Real estate & spatial planning

Link swimming pool data to real estate valuation, energy management or spatial analyses to better understand trends and developments in impervious surfaces and land use.