Our analytics capabilities will help you find the most suitable rooftop environment based on your project specifications.
Utilising advanced computer vision techniques based on deep convolutional neural networks we to analyse geospatial data (such as satellite imagery, photogrammetry) allows us to classify and segment rooftops based on their features and attributes, at scale.
We are not only interested in physical properties of a rooftop but also its utilisation potential in a given context and location.
The physical properties of the rooftop including variables such its elevation, orientation, profile, surface area, structural integrity determines the suitability for various applications.
Skyscape identifies a rooftop's commercial potential by analysing and cross referencing the legal constraints with the physical and provides viability assessments of prevalent opportunities supported by lifecycle valuations.
By analysing and cross referencing datasets from organisations such as Land Registry, Ordnance Survey, English Heritage and combining those with 3D photogrammetry, satellite imagery and LiDAR data, Skyscape provides a one stop shop for rooftop opportunities.
Skyscape provides the ability to query rooftops based on their existing utilisation, viability, physical attributes, and market value.