About the project

Open mapping turns local observation into geographic knowledge that others can inspect, improve, and reuse. Roads, paths, crossings, signs, access restrictions, buildings, and public facilities all change over time. Keeping a map useful therefore depends on repeated observation rather than a one-time survey.

Street-level imagery provides a practical record of what was visible during a capture session. Mapillary makes that record available to OpenStreetMap contributors and other cartographic work without requiring every mapper to visit every road immediately. The imagery can help confirm details, identify questions, compare dates, and prepare focused field checks.

Tournai is an interesting case because the municipality is both urban and rural. It includes the city centre and 29 villages, covering dense streets, major roads, residential areas, agricultural landscapes, and smaller local connections. A single city-wide percentage cannot explain all of those differences, so this project also follows progress area by area.

The work has two connected parts:

1. A field mapping effort that captures and documents street-level imagery.
2. A small data workflow that measures approximate coverage and helps decide where to go next.

The first layer is the progressive mapillaryzation of the territory. Later work can use the imagery to improve OpenStreetMap through targeted mapping and verification. Methods, limits, field notes, maps, and results will remain documented here so the approach can be understood and reused elsewhere.

The Mapillary Coverage Analyzer supports this work in the background. It is not the subject of the site; it is one tool used to turn imagery metadata into practical capture priorities and publishable summaries.