Nature of the offer
Use GeoCassini to have the digital twin of your territory, by subscription, from 1 euro per km per month.
What does the territory digital twin contain in Geocassini?
In the basic offer, the digital twin of territory is produced by a cloud of 3D colorized points with centimeter precision produced by the lidar process. The absolute precision is 3 to 5 cm in x,y,z and the relative precision of 1cm in the same area.
The offer can be enriched
• by the 180° or 360° photos taken during the lidar acquisitions
• by additional aerial lidar coverage of the area concerned.
This lidar coverage includes at least 40 points per m² with an accuracy of less than 15 cm in x,y and less than 10 cm in z.
To note It is quite possible to mix terrestrial lidar data with IGN aerial lidar data (20 points / m²) available in
Open Data under GeoCassini.
Example : extract of the general view of CHOLET (49)
How does the offer work ?
• The offer is intended for any GeoCassini CLIENT with at least one EXPERT subscription.
• Pricing is based on:
– the number and nature of the GeoCassini subscriptions opened by CLIENT
– the content desired by the CLIENT (terrestrial point clouds, panoramic photos, additional LIDAR coverage)
– the length of tracks concerned for land acquisitions
– the surface concerned for aerial coverage
– the duration of the subscription
• Updates are managed contractually
Example : view place TRAVOT (CHOLET)
Who is the offer for?
• aerial and underground network managers
• local authorities (municipalities, urban communities, energy unions, etc.)
• companies specializing in public space equipment
• public works companies
• to INFINITE subscribers of GeoCassini who wish to promote this offer
Example : survey of gas network, rue du Verger (CHOLET)
To do what ?
• overhead and underground network managers
– creation of the digital twin of networks
– network management and maintenance from the network digital twin
– network detection and georeferencing
– survey and verification of works
– facilitate the geolocation of interventions
– simplify and improve the quality of responses to DT/DICT
– better meet certain obligations of the Public Service Delegations
Example: détection, georeferencing and 3D modelisation of underground networks rue de la Filature à CHOLET (49)
• local authorities (municipalities, urban communities, energy unions, etc.)
– facilitate the georeferencing of networks
– facilitate work management
– Carry out the diagnosis of the road network
– facilitate updates following the work
– facilitate the integration of updates into the GIS
– facilitate the identification and geolocation of interventions
– promote vector PCRS and image PCRS
– facilitate the management of public space and its heritage
– facilitate the inventory and identification of modes of occupation of public space
– facilitate GEMAPI skill
– facilitate the application of the Climate Law
– facilitate the application of the Mobility law
– decision support tool (urban planning, equipment, etc.)
– create an interactive platform for accessing “network” data (DT/DICT,…)
Example of general view of MAULEVRIER (49)
To note: This list is not exhaustive – also refer to “Territory’s digital twins”
• Companies specializing in public space equipment- identification des implantations
– identification of locations
– study of the impact of the aquipments
– technical and administrative management of installations
– maintenance of facilities
• Public works companies
– initial inspection of the site before works
– detection of networks
– network georeferencing
– checks on the work carried out
– surveys of works
Example : view of downtown MAULEVRIER (49)
• GeoCassini INFINITE subscribers for
– promote this offer
– create new services
– create new offers
• Exploit artificial intelligence algorithms for detection and identification of
– crash barriers
– ground lines
– walls
– panels
– bridges
– buildings (contours and roofs)
– trees
– pylons and poles
– overhead lines
– etc.
Example : view of Place de la République (CHOLET)
Example of tree detection in the city of CHOLET: L3HARRIS algorithm
For what purposes ?
• federate all actors in the production and updating of data
• manage updates by significantly reducing costs
• pool the data necessary for the management of public space
• reduce overall costs
• reduce the budgets mobilized
• reduce the carbon footprint of the management of public facilities

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