LiDAR based urban vegetation mapping as a basis of green infrastructure planning

Krzysztof Pyszny,Rafał Wróżyński,Mariusz Sojka,K Jóźwiakowski,T Ciesielczuk

doi:10.1051/e3sconf/202017102008

Krzysztof Pyszny, Rafał Wróżyński + Show 3 more

Open Access

https://doi.org/10.1051/e3sconf/202017102008

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Abstract

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.

Highlights

More people live in urban than in rural areas, with 55% of the world‟s population residing in urban areas in 2018
Given the associations between vegetated land cover and the biophysical and social processes of urban systems, there exists an ongoing demand for effective urban vegetation mapping and classification techniques [10]
The aim of this study was to indicate the possibility of using LiDAR data in the urban inventory of medium and high vegetation and indicate the areas requiring introduction of new vegetation to create a coherent model of urban greenery

Summary

Introduction

More people live in urban than in rural areas, with 55% of the world‟s population residing in urban areas in 2018. Vegetation data obtained from the processing of LiDAR point clouds can be supported by data collected from satellite level [15] and SfM data [16]. Such maps allow to determine areas where it is recommended to plan and implement green and blue infrastructure. The aim of this study was to indicate the possibility of using LiDAR data in the urban inventory of medium and high vegetation and indicate the areas requiring introduction of new vegetation to create a coherent model of urban greenery

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Conclusion