3D Point Cloud Data in Conveying Information for Local Green Factor Assessment

Abstract

The importance of ensuring the adequacy of urban ecosystem services and green infrastructure has been widely highlighted in multidisciplinary research. Meanwhile, the consolidation of cities has been a dominant trend in urban development and has led to the development and implementation of the green factor tool in cities such as Berlin, Melbourne, and Helsinki. In this study, elements of the green factor tool were monitored with laser-scanned and photogrammetrically derived point cloud datasets encompassing a yard in Espoo, Finland. The results show that with the support of 3D point clouds, it is possible to support the monitoring of the local green infrastructure, including elements of smaller size in green areas and yards. However, point clouds generated by distinct means have differing abilities in conveying information on green elements, and canopy covers, for example, might hinder these abilities. Additionally, some green factor elements are more promising for 3D measurement-based monitoring than others, such as those with clear geometrical form. The results encourage the involvement of 3D measuring technologies for monitoring local urban green infrastructure (UGI), also of small scale.

Evaluation of a Low-Cost Photogrammetric System for the Retrieval of 3d Tree Architecture

“…To obtain the reference point cloud, we used Leica RTC360 terrestrial laser scanner. This model of scanner has been previously used for obtaining point clouds of trees both in the forests (Ko et al, 2022), as well as in urban context (Jaalama et al, 2021).…”