LIDAR MAPPING TECHNOLOGY TO POPULATE GREEN AREAS GIS
In the last eight years the structure of Topographical Database of green areas has been implemented and consolidated: originally born to manage green areas in Milan, it is now used in other cities. Beside the optimizations achieved in data management (i.e. relationship between data and working proce...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2011-08-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-C21/79/2011/isprsarchives-XXXVIII-4-C21-79-2011.pdf |
| Summary: | In the last eight years the structure of Topographical Database of green areas has been implemented and consolidated: originally born
to manage green areas in Milan, it is now used in other cities. Beside the optimizations achieved in data management (i.e.
relationship between data and working process, updating procedures, exhaustive Index of Items) it is now becoming important an
optimization in data acquisition: this is the reason why a test was started involving the use of LiDAR technology for surveying those
green areas classified as equipped parks (over 50.000 sqmt), as an alternative to the traditional topographycal survey. LiDAR
technology is commonly applied to forestry surveying and green mass computation, even in urban contexts, achieving good results
also in automation of data processing. Nevertheless this testing activity has a specific aim, that is to derive (also using the contextual
orthophoto) as many layers as possible among the ones described by the Specifications on Green areas TDb, preserving the high
level of thematical detail and accuracy suggested by the Specifications. To do this, using the application Laserweb© for visualization
and interaction with the point cloud, new and specific functions and layouts have been designed and implemented. For each item of
the index has been made an effort to encode the optimal strategy for exploring the cloud and exporting the datum. The variety of the
elements included in the Specification Index of Items is very differentiated, therefore also the procedures in point cloud analysis are
various, as the main purpose of this work is to exploit all the potential information contained in a point cloud. |
|---|---|
| ISSN: | 1682-1750 2194-9034 |