Progress and New Trends in 3D Geoinformation Sciences

Pouliot, Jacynthe; Daniel, Sylvie; Hubert, Frdric; Zamyadi, Alborz

doi:10.1007/978-3-642-29793-9

Cited by 20 publications

(1 citation statement)

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“…The number of mapped buildings in OSM has been continuously increasing in the last few years. At the same time, the interest in 3-D city models has been growing, both among the scientific community and the general public (Uden and Zipf, 2013). Thus, even though for now, height information is not available for all the mapped buildings in OpenStreetMap, it can be expected that their number will increase at a continuously faster pace, potentially making OSM the most interesting source of open data regarding building locations and geometries.…”

Section: R Figueiredo and M Martina: Open Building Data In The Devementioning

confidence: 99%

Using open building data in the development of exposure data sets for catastrophe risk modelling

Figueiredo

Martina

2016

Nat. Hazards Earth Syst. Sci.

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Abstract.One of the necessary components to perform catastrophe risk modelling is information on the buildings at risk, such as their spatial location, geometry, height, occupancy type and other characteristics. This is commonly referred to as the exposure model or data set. When modelling large areas, developing exposure data sets with the relevant information about every individual building is not practicable. Thus, census data at coarse spatial resolutions are often used as the starting point for the creation of such data sets, after which disaggregation to finer resolutions is carried out using different methods, based on proxies such as the population distribution. While these methods can produce acceptable results, they cannot be considered ideal. Nowadays, the availability of open data is increasing and it is possible to obtain information about buildings for some regions. Although this type of information is usually limited and, therefore, insufficient to generate an exposure data set, it can still be very useful in its elaboration. In this paper, we focus on how open building data can be used to develop a gridded exposure model by disaggregating existing census data at coarser resolutions. Furthermore, we analyse how the selection of the level of spatial resolution can impact the accuracy and precision of the model, and compare the results in terms of affected residential building areas, due to a flood event, between different models.

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Section: R Figueiredo and M Martina: Open Building Data In The Devementioning

confidence: 99%

Using open building data in the development of exposure data sets for catastrophe risk modelling

Figueiredo

Martina

2016

Nat. Hazards Earth Syst. Sci.

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A Video Game-Inspired Approach for a Pedestrian Guidance System Within a Railway Station

Preece

Samra

Thomas

et al. 2021

2021 IEEE International Conference on Big Data (Big Data)

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Where a licence is displayed above, please note the terms and conditions of the licence govern your use of this document.When citing, please reference the published version. Take down policy While the University of Birmingham exercises care and attention in making items available there are rare occasions when an item has been uploaded in error or has been deemed to be commercially or otherwise sensitive.

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Locating and Positioning Solar Panels in a 3D City Model: A Case Study of Newcastle, UK

El-Hosaini¹

2015

giforum

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The recent advent of high quality, realistic 3D city models is creating new possibilities for analyses and visualisations of solar irradiance and photovoltaic (PV) potential at an urban level. A 3D city model of Newcastle (UK) is used to demonstrate potential applications for locating solar panels (i.e. which surfaces within the model), and positioning them (i.e. where on a given surface). After geometrically validating the model, a 3D PV assessment tool is developed for locating suitable surfaces, which accounts for 3D geometric properties (surface area, slope, aspect), clear-sky solar irradiance estimates, and annual PV estimates. Optimal subsections of a selected surface are then identified using 3D shadow detection analyses. Outputs include a daily animation of the shadows cast across the surface each hour, and a static image displaying mean non-shaded percentage patterns on the surface. As a tool for processing complex spatial information, geographical information systems (GIS) may contribute to the effective assessment of solar resources. Moreover, an accurate

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Progress and New Trends in 3D Geoinformation Sciences

Cited by 20 publications

References 0 publications

Using open building data in the development of exposure data sets for catastrophe risk modelling

Using open building data in the development of exposure data sets for catastrophe risk modelling

A Video Game-Inspired Approach for a Pedestrian Guidance System Within a Railway Station

Locating and Positioning Solar Panels in a 3D City Model: A Case Study of Newcastle, UK

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