Next Article in Journal
Development of a Conceptual Mapping Standard to Link Building and Geospatial Information
Next Article in Special Issue
A Formalized 3D Geovisualization Illustrated to Selectivity Purpose of Virtual 3D City Model
Previous Article in Journal
Use of DEMs Derived from TLS and HRSI Data for Landslide Feature Recognition
Previous Article in Special Issue
The Implementation of Spatial Planning Objects in a 3D Cadastral Model
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2018, 7(5), 161; https://doi.org/10.3390/ijgi7050161

LiDAR—A Technology to Assist with Smart Cities and Climate Change Resilience: A Case Study in an Urban Metropolis

1
Independent Researcher, Toronto, ON M3B 1W8, Canada
2
Department of Geography, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada
*
Author to whom correspondence should be addressed.
Received: 14 February 2018 / Revised: 16 April 2018 / Accepted: 19 April 2018 / Published: 24 April 2018
View Full-Text   |   Download PDF [6777 KB, uploaded 3 May 2018]   |  

Abstract

In this paper, we demonstrate three unique use cases of LiDAR data and processing, which can be implemented in an urban metropolis to determine the challenges that are associated with climate change. LiDAR data for the City of Toronto were collected in April 2015 with a density of 10 points/m2. We utilized both a digital terrain model and a bare earth digital elevation model in this work. The first case study estimated storm water, in which we compared flow accumulation values and catchment areas generated with a 20-m DEM and a 1-m LiDAR DEM. The finer resolution DEM demonstrated that the urban street features play a significant role in flow accumulation by directing flows. Urban catchment areas were found to occur on spatial scales that were smaller than the 20-m DEM cell size. For the second case study, the solar potential in the City of Toronto was calculated based on the slope and aspect of each land parcel. According to area, 56% of the city was found to have high solar potential, with 33% and 11% having medium and low solar potential. For the third case study, we calculated the building heights for 16,715 high-rise buildings in Toronto, which were combined with ambulance and fire emergency response times required to reach the base of the building. All buildings that had more than 17 stories were within a 5-min response time for both fire and ambulance services. Only 79% and 88% of these buildings were within a 3-min response time for ambulance and fire emergencies, respectively. LiDAR data provides a highly detailed record of the built urban environment and can provide support in the planning and assessment of climate change resilience activities. View Full-Text
Keywords: LiDAR; 3D; urban; Smart Cities; climate change LiDAR; 3D; urban; Smart Cities; climate change
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Garnett, R.; Adams, M.D. LiDAR—A Technology to Assist with Smart Cities and Climate Change Resilience: A Case Study in an Urban Metropolis. ISPRS Int. J. Geo-Inf. 2018, 7, 161.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top