Effects of Ground Surface Relief in 3D Spatial Analysis on Residential Environment

Osaragi, Toshihiro; Otani, Ikuko

doi:10.1007/978-3-540-72385-1_10

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…The most accurate surfaces are created using a grid with a sampling size that relates as close as possible to the LiDAR point density during the acquisition phase (Behan 2000). A method for constructing a 2.5D urban surface model (2.5‐DUSM) incorporating the geographical relief, based on LiDAR and GIS buildings data, was proposed by Osaragi and Otani (2007).…”

Section: The Calculation Of Morphological Indicators: Related Workmentioning

confidence: 99%

Digital Urban Morphometrics: Automatic Extraction and Assessment of Morphological Properties of Buildings

Carneiro

Morello

Voegtle

et al. 2010

Transactions in GIS

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The aim of this article is to present a method to calculate the morphological properties of the built environment using LiDAR (light detection and ranging) data, geographic information systems (GIS) data and three-dimensional (3D) models of cities as a source of information. A hybrid approach that takes into account different types of inputs and consequently evaluates the accuracy of each type of used data is presented. This work is intended to give a first response to the lack of a comprehensive and accurate procedure that uses LiDAR data in order to automatically derive precise morphological properties, such as volumes and surfaces (façades and roofs) of buildings. The method was tested on two case-study areas in the Geneva region with different characteristics, one in the old town along the Rhone River and the other on the CERN campus. A statistical analysis that compares the results of the computation with the 3D model of the built environment was used to validate the results, complemented by significance statistical tests. Outcomes showed that the proposed method to derive morphological properties can reach high levels of accuracy, thus enhancing the potential uses of LiDAR data for numerous applications, typically for the assessment of the urban environmental quality (UEQ) at the city and

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Section: The Calculation Of Morphological Indicators: Related Workmentioning

confidence: 99%

Digital Urban Morphometrics: Automatic Extraction and Assessment of Morphological Properties of Buildings

Carneiro

Morello

Voegtle

et al. 2010

Transactions in GIS

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“…A method to interpolate and construct a 2.5-D urban surface model (incorporating the geographical relief), based on LIDAR and GIS buildings data, has been proposed by Osaragi and Otani (2007). As related research, there are some semi-automatic methods available to create 3-D GIS data from LIDAR data, such as the Virtual London at UCL (Steed et al 1999) and the MapCube at Tokyo CadCenter Corporation (Takase et al 2003).…”

Section: Research Contextmentioning

confidence: 99%

“…As presented by Osaragi and Otani (2007), all visibility and sunshine analysis in urban areas based on 3-D urban surface models must take into consideration the geographical relief of the terrain.…”

Section: Introductionmentioning

confidence: 99%

Solar Radiation over the Urban Texture: LIDAR Data and Image Processing Techniques for Environmental Analysis at City Scale

Carneiro

Morello

Ratti³

et al.

Lecture Notes in Geoinformation and Cartography

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A complete methodology from the extraction of Light Detection and Ranging (LIDAR) data to the environmental analysis of urban models and the visualization of results is presented. Aim of the work is to establish a process to investigate digital urban models integrating cross-disciplinary competences, like remote sensing, GIS, image processing and urban and environmental studies. Toward this goal, working on several interfaces, tools and datasets was necessary to provide a consequent structure to the introduced methodology.Case study for application was a squared area 300 metres wide in central Geneva where LIDAR data are available. The use of a hybrid approach from raw LIDAR data and vectorial digital maps (GIS data) of buildings footprints for the interpolation of a 2.5-D urban surface model, with a resolution grid of 0.50 by 0.50 metres, allowed to refine vertical 2 surfaces of buildings and to process facades and roofs separately. This step reveals itself as fundamental for processing the environmental analysis of the urban texture. In particular, the implemented tool calculates solar radiation and solar accessibility on urban surfaces, in order to investigate the energy-performance of cities.

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“…Thus, using the capability of LIDAR data in order to construct an accurate 2.5D urban surface model, visibility and sunshine analysis at different heights (for existing buildings facades and from ground surface) is implemented and integrated in a multiagent vector urban morphogenesis modeling for urban and landscape-planning process. As presented by Osaragi and Otani (2007), all visibility analysis in urban areas based on 2.5D urban surface models must take into consideration the geographical relief of the terrain. Research work has been undertaken in order to apply GIS and LIDAR data to extract 3D morphological indicators (properties) of buildings, such as 3D complexity, 3D total volume and roof type.…”

Section: Introductionmentioning

confidence: 99%

Urban Roughness Parameters Calculation in the City of Rome by Applying Analytical and Simplified Formulations: Comparison of Results

Ioannilli

Rocchi

Studies in Computational Intelligence

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Effects of Ground Surface Relief in 3D Spatial Analysis on Residential Environment

Cited by 6 publications

References 13 publications

Digital Urban Morphometrics: Automatic Extraction and Assessment of Morphological Properties of Buildings

Digital Urban Morphometrics: Automatic Extraction and Assessment of Morphological Properties of Buildings

Solar Radiation over the Urban Texture: LIDAR Data and Image Processing Techniques for Environmental Analysis at City Scale

Urban Roughness Parameters Calculation in the City of Rome by Applying Analytical and Simplified Formulations: Comparison of Results

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