Solar Radiation over the Urban Texture: LIDAR Data and Image Processing Techniques for Environmental Analysis at City Scale
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Ratti_Solar radiation.pdf
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Author(s)
Carneiro, Claudio
Morello, Eugenio
Ratti, Carlo
Golay, Francois
Date Issued
2009
Journal
3D Geo-Information Sciences
Publisher
Springer-Verlag
Citation
Carneiro, Claudio, Eugenio Morello, Carlo Ratti, and Francois Golay. “Solar Radiation over the Urban Texture: LIDAR Data and Image Processing Techniques for Environmental Analysis at City Scale.” 3D Geo-Information Sciences (n.d.): 319–340.
Version
Author's final manuscript
Abstract
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 vector 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 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.
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Massachusetts Institute of Technology. SENSEable City Laboratory
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1007/978-3-540-87395-2_20
