D Point Cloud Data in Conveying Information for Local Green Factor Assessment
Bibliographic Data
| ID | 22031675 |
|---|---|
| Authors | Kaisa Jaalama (0000-0002-0377-8497, Finnish Geospatial Research Institute, corresponding author), Heikki Kauhanen (Aalto University), Aino Keitaanniemi (Aalto University), Toni Rantanen (0000-0002-3781-7204, Aalto University), Juho-Pekka Virtanen (0000-0003-0281-9717, Finnish Geospatial Research Institute), Arttu Julin (0000-0001-9887-1573, Aalto University), Matti Vaaja (0000-0001-9907-0516, Aalto University), Matias Ingman (0000-0001-9808-0210, Aalto University), Marika Ahlavuo (Aalto University), Hannu Hyyppä (0000-0003-2487-3159, Finnish Geospatial Research Institute) |
| Year | 2021 |
| Volume | 10 |
| Issue | 11 |
| Pages | 762 |
| Publication date | 2021-11-11 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10110762 |
| OpenAlex | W3213168432 |
| Language | EN |
| References cited | 61 |
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
Archaeology · Business · Civil engineering · Cloud computing · Data science · Environmental resource management · Geography · Green belt · Green infrastructure · Multidisciplinary approach · Point cloud · Political science · Remote sensing · Urban planning · Yard · Computer Science · Engineering · Environmental Science · Land Use and Ecosystem Services · Remote Sensing and LiDAR Applications · Urban Heat Island Mitigation · Artificial Intelligence
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| Citation velocity | historical |
|---|---|
| Highly cited | No |