

- Client Vallo di Diano Mountain Community
- Project Creation of toponomastic subsystem, property and urban hygiene database
- Key Solution no
- Category Italy, PA, Environment and Territory
OBJECTIVES
The Vallo di Diano Mountain Community is a local authority comprising 15 municipalities in the Italian province of Salerno.
The objective of the project is a cartographic update of the Vallo di Diano territory, based on a preliminary check on the current situation, followed by the development of a GIS database that ensures correct correlation of toponymy, building numbering, building and individual.
DEVELOPMENT
The consolidated territorial database production procedures were supported by preparatory meetings with the registry offices of all the municipalities to collect all possible information concerning the official toponomastic distribution, in terms of names and road extensions.
Meetings were also held with ISTAT to identify surveying techniques to optimise data collection.
The survey results were presented to the various municipalities, and the solutions adopted to resolve unusual territorial conditions were illustrated. The final project was presented to the mayors of the municipalities.
CHARACTERISTICS
The cartographic update was carried out in various stages. It began with cartographic territorial monitoring for the development of the territorial database, followed by a field survey on building numbering and characteristics using ISTAT specifications.
The next step was a high-yield survey with a mobile mapping system to ascertain urban road conditions. Mobile mapping uses sensors and measuring equipment to acquire geographical data without the need for ground check points. It also provides the “almost continuous” 3D position of the system during surveying.
COMPETITIVE ADVANTAGES
The municipalities were provided with a complete territorial monitoring, beginning with a photogrammetric interpretation, moving on to ground surveys with high-yield equipment and concluding with the creation of GIS databanks, where the data can be used in geographical environments.
Moreover, the costs of high-yield mobile mapping are greatly reduced compared with other forms of photogrammetry.