Accessibility settings

Settings are saved in this browser and apply on every page of the site.

Text size 100%

Accessibility is built into the site code. This menu is an extra, not a substitute.

Surveys · Local authorities Ortho-graphy: city base layers from an aerial photo

Machine recognition on the authority's own aerial photo, manual completion and full QC: buildings, pavements, drainage, poles, signs, trees and more, with heights, in GIS, DWG and PDF.

Client
Local authorities
Source
Client aerial photo · 3D model
CRS
ITM · EPSG:2039
The same neighbourhood with digitised GIS layers: buildings, trees and road markings

The challenge

Base layers are usually built slowly: buildings in one project, pavements in another, trees perhaps a few years later. Meanwhile a recent aerial photo is already sitting with the authority, and what it shows does not yet exist as a layer anyone can filter, measure or maintain.

The solution

We ran machine recognition (AI) over the authority's existing aerial photo to flag features. Interpreters then completed by hand whatever the machine missed and checked every feature, with heights taken from the 3D model. Depending on the brief, the layers cover buildings, drainage inlets, manholes, culverts, fire hydrants, pavements and kerb colour, poles, signs, traffic lights, bus stops, bike lanes, roundabouts, parking, roads, traffic islands, lane lines, trees, shrubs and fences.

The result

The authority gets a full set of base layers for a whole area in a single project and works with it in its own system: counting, measuring, planning maintenance and using the layers as the starting point for future surveys.

What was delivered

  • GIS layers from the aerial photo, to a layer list agreed with the authority

  • Heights from the 3D model

  • DWG and PDF files

From the project

Let's talk about your data