| Issue |
E3S Web Conf.
Volume 171, 2020
The 9th International Scientific-Technical Conference on Environmental Engineering, Photogrammetry, Geoinformatics – Modern Technologies and Development Perspectives (EEPG Tech 2019)
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|---|---|---|
| Article Number | 02008 | |
| Number of page(s) | 6 | |
| Section | Photogrammetry, Geoinformatics | |
| DOI | https://doi.org/10.1051/e3sconf/202017102008 | |
| Published online | 09 June 2020 | |
LiDAR based urban vegetation mapping as a basis of green infrastructure planning
1 EnviMap, ul. Piątkowska 118/31, 60-649 Poznań, Poland
2 Faculty of Environmental Engineering and Spatial Management, Poznań University of Life Sciences, ul. Piątkowska 94, 60-649 Poznań, Poland
* Corresponding author: pyszny@envimap.pl
Planning green infrastructure in the cities is a challenging task for planners and city managers. Developing multifunctional green space systems provide many benefits including: increasing water retention, mitigating urban heat island effect, microclimate regulation, reducing air, water and noise pollution and conservation biodiversity. The greenery in the city also have an impact on human health. The paper presents the possibilities of using LiDAR data mapping vegetation density in urban areas on the example of Gorzów Wielkopolski (Poland). Maps made as a result of processing the point clouds obtained from airborne laser scanning represents the most accurate, comprehensive and detailed assessment of Gorzów Wielkopolski vegetation cover to date and establishes the baseline for greenery governance and planning of green infrastructure in the city.
Key words: LIDAR data / vegetation mapping / urban greenery planning / green infrastructure / spatial analysis / point cloud analysis / green governance / planning
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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