Description
This is the complete point cloud treated with an automatic classification to distinguish vegetation, water, bridges and soil (Model Key Point). The points identified as “unclassified” correspond to elements of the surface (buildings, superstructures, cars, etc.) or points whose automatic processing has not made it possible to identify them.
The point cloud was colored using the 2018 vintage of the Metropole orthophotographies. So these are not colors captured by the laser.
These data are available in EPT format (Entwine Point Tile, https://entwine.io/), particularly suitable for visualisation. Tools like Potree (http://potree.org/) make it possible to exploit it.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Unknown Resource | GeoJSON | Open resource | |
| Unknown Resource | ESRI Shape | Open resource | |
| Unknown Resource | CSV | Open resource | |
| Unknown Resource | JSON | Open resource | |
| Unknown Resource | Open resource |