Ordnance Survey is expanding its services, integrating digital tools with traditional mapping. This includes advancements in machine learning to analyze roof types and materials from aerial imagery. Its buildings dataset, compiled over five years, features detailed information on over 41 million buildings. The Unique Property Reference Number (UPRN) enhances data accuracy, aiding banks and insurers in making informed decisions on risk, lending, and sustainability based on integrated datasets. Publicly owned, OS continues evolving to meet modern needs.
OS has secretly, behind the scenes, been working on it. It's an embedded part of our production pipeline. The datasets that we produce today are already utilizing machine learning, including understanding roof types and roof materials automatically from aerial imagery.
In September 2024, its basement presence was released and in March this year OS released a suite of roof data to provide information on 28 key attributes for more than 41 million buildings across the UK.
The data is used by banks and insurers to provide highly accurate information about the built environment which they can trust when making risk and lending decisions, identifying fraud or making sustainability assessments.
OS developed the Unique Property Reference Number (UPRN), which can be integrated with other third-party datasets such as flood-risk data which financial services institutions need to make critical decisions.
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