Abstract

Abstract. 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.

Highlights

  • The management of public green areas of Milan makes daily use of a set of four applications, one for each specific working topic. All these applications refer to the same database, which constitute the core of the so-called “Green GIS”, which has been used by public administations of other towns and councils

  • It was considered necessary to test the LiDAR technology as an alternative to traditional topographical procedure, in the survey of wide parks, classifed as “over-local” parks, in order to include parameters and methods fitting this kind of surveying, if considered satistactory, to the initial survey specifications

  • The task of the point cloud was mainly focused on four aspects: providing the geometrical datum, providing a first help in the interpretation of the orthophoto, enabling a basic survey for unaccessible areas, that in our case were represented by a wild small wood around a little pond located in the North East of the park; and even though the Green GIS is not a fully 3D database, the point cloud has been used to provide the height informations necessary to describe the vegetation

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Summary

INTRODUCTION

The management of public green areas of Milan makes daily use of a set of four applications, one for each specific working topic (trees, playing equipment, working planning and data updating, queries and statistics). All these applications refer to the same database, which constitute the core of the so-called “Green GIS”, which has been used by public administations of other towns and councils. LiDAR technology is commonly applied to forestry surveying, where it achieves highly performing results in the automation of data processing It is a more and more appreciated technology, useful especially when it is necessary to computate irregular volumes such as the vegetal mass. The testing activity was supposed to find and check a specific strategy for most items to be captured from the point cloud, maintaining the accuracy and the richness of information recommended by the specificatons

DATA ACQUISITION AND MANAGEMENT
From the Point Cloud to GIS: tools test
CONCLUSIONS
Development guidelines
Full Text
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