Analyzing building stock using topographic maps and GIS

Meinel, Gotthard; Hecht, Robert; Herold, Hendrik

doi:10.1080/09613210903159833

Cited by 80 publications

(77 citation statements)

References 4 publications

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“…The increase of the application area means especially that the effort for the manually building classification increases. The consideration of semi-or fully automatic procedures of building type identification is possible with a certain decrease of accuracy (Meinel et al, 2009). In contrast, there exist hardly limitations by smaller study areas because of the building object-based modelling.…”

Section: Discussionmentioning

confidence: 99%

Damage estimation of subterranean building constructions due to groundwater inundation – the GIS-based model approach GRUWAD

Schinke

Neubert

Hennersdorf

et al. 2012

Nat. Hazards Earth Syst. Sci.

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Abstract. The analysis and management of flood risk commonly focuses on surface water floods, because these types are often associated with high economic losses due to damage to buildings and settlements. The rising groundwater as a secondary effect of these floods induces additional damage, particularly in the basements of buildings. Mostly, these losses remain underestimated, because they are difficult to assess, especially for the entire building stock of flood-prone urban areas. For this purpose an appropriate methodology has been developed and lead to a groundwater damage simulation model named GRUWAD. The overall methodology combines various engineering and geoinformatic methods to calculate major damage processes by high groundwater levels. It considers a classification of buildings by building types, synthetic depth-damage functions for groundwater inundation as well as the results of a groundwater-flow model. The modular structure of this procedure can be adapted in the level of detail. Hence, the model allows damage calculations from the local to the regional scale. Among others it can be used to prepare risk maps, for ex-ante analysis of future risks, and to simulate the effects of mitigation measures. Therefore, the model is a multifarious tool for determining urban resilience with respect to high groundwater levels.

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Section: Discussionmentioning

confidence: 99%

Damage estimation of subterranean building constructions due to groundwater inundation – the GIS-based model approach GRUWAD

Schinke

Neubert

Hennersdorf

et al. 2012

Nat. Hazards Earth Syst. Sci.

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“…Some progress has been made to obtain information from analogue historic map data. Meinel, Hecht, & Herold (2009) manage for example to extract buildings from topographic maps. However they do this from relatively recent and coarse scale maps (1:25,000).…”

Section: Methods 31 Introductionmentioning

confidence: 99%

Rapid mapping of urban development from historic Ordnance Survey maps: An application for pluvial flood risk in Worcester

Visser

2014

Journal of Maps

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Between 2004 and 2008 the city of Worcester, UK experienced a number of pluvial flood events. The causes of this kind of flooding are the topic of ongoing research. This paper describes a study that aimed to investigate the urban development of Worcester over time in relation to the location of recorded pluvial flood incidents. A novel rapid mapping method has been developed to derive urban development over five time periods between 1886 and 1995 from scanned Ordnance Survey historical maps. The technique compared well with manual digitisation results with k-hat values ranging from 0.67 to 0.87 for the land use maps created for different time periods. The technique performed least well for the oldest map series, due to misclassification of the abundant symbols and annotation. The method will be particularly beneficial for investigation of town/city development in time over large areas. The resulting map of urban development in Worcester (scale 1:20,000) shows that almost half of the recorded pluvial flood incidents occurred in areas developed between 1956 and 1975, which contradicts local belief that an outdated (Victorian) drainage system causes most of the problems. The quality of the post World War II developments is more likely to be a source for concern.

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“…3D city models are suitable to calculate the area of the exposed building shell. This information is useful in planning energy-efficient retrofitting, estimating indoor thermal comfort and energy consumption, analyzing the urban heat island effect, and further similar applications (Chwieduk, (Ahmed & Sekar, 2015), estimating the stock of materials in the building sector (Schebek et al, 2016), waste management (Mastrucci, Marvuglia, Popovici, Leopold, & Benetto, 2016), population estimation (Lwin & Murayama, 2009), quantifying development densities (Meinel, Hecht, & Herold, 2009), energy estimation (Eicker et al, 2014;Nouvel et al, 2013), and predicting thermal comfort (Chwieduk, 2009;Perez et al, 2013). (3) Solar irradiation of rooftops.…”

Section: Selection Of the Spatial Analysesmentioning

confidence: 99%

The effect of acquisition error and level of detail on the accuracy of spatial analyses

Biljecki

Heuvelink

Ledoux

et al. 2017

Cartography and Geographic Information Science

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There has been a great deal of research about errors in geographic information and how they affect spatial analyses. A typical GIS process introduces various types of errors at different stages, and such errors usually propagate into errors in the result of a spatial analysis. However, most studies consider only a single error type thus preventing the understanding of the interaction and relative contributions of different types of errors. We focus on the level of detail (LOD) and positional error, and perform a multiple error propagation analysis combining both types of error. We experiment with three spatial analyses (computing gross volume, envelope area, and solar irradiation of buildings) performed with procedurally generated 3D city models to decouple and demonstrate the magnitude of the two types of error, and to show how they individually and jointly propagate to the output of the employed spatial analysis. The most notable result is that in the considered spatial analyses the positional error has a much higher impact than the LOD. As a consequence, we suggest that it is pointless to acquire geoinformation of a fine LOD if the acquisition method is not accurate, and instead we advise focusing on the accuracy of the data. ARTICLE HISTORY

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Analyzing building stock using topographic maps and GIS

Cited by 80 publications

References 4 publications

Damage estimation of subterranean building constructions due to groundwater inundation – the GIS-based model approach GRUWAD

Damage estimation of subterranean building constructions due to groundwater inundation – the GIS-based model approach GRUWAD

Rapid mapping of urban development from historic Ordnance Survey maps: An application for pluvial flood risk in Worcester

The effect of acquisition error and level of detail on the accuracy of spatial analyses

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