A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
An extended urban street network classification methodology: defining the environmental quality classes using remotely sensed multispectral data
The environmental quality of urban streets renders distinctive characteristics to the neighbourhoods of a city and has a direct impact on the land value. This research investigates whether and to what extent the environmental quality of a city's streets can be recorded and quantified in order to achieve classification. The paper presents the methodology that was followed in a pilot area of Chania, where environmental indices were defined, quantified, examined and statistically classified. Multispectral satellite data Landsat TM (Thematic Mapper) were then used in a supervised classification procedure. The results of this supervised classification were compared to reality, through a geodatabase that was created specifically for this research. The methodology that was followed produced very promising results that can be applied in urban and spatial studies, in sustainable city development and in environmental policy design.
An extended urban street network classification methodology: defining the environmental quality classes using remotely sensed multispectral data
The environmental quality of urban streets renders distinctive characteristics to the neighbourhoods of a city and has a direct impact on the land value. This research investigates whether and to what extent the environmental quality of a city's streets can be recorded and quantified in order to achieve classification. The paper presents the methodology that was followed in a pilot area of Chania, where environmental indices were defined, quantified, examined and statistically classified. Multispectral satellite data Landsat TM (Thematic Mapper) were then used in a supervised classification procedure. The results of this supervised classification were compared to reality, through a geodatabase that was created specifically for this research. The methodology that was followed produced very promising results that can be applied in urban and spatial studies, in sustainable city development and in environmental policy design.
An extended urban street network classification methodology: defining the environmental quality classes using remotely sensed multispectral data
Tsouchlaraki, A. (author) / Achilleos, G. (author)
Civil Engineering and Environmental Systems ; 29 ; 239-254
2012-12-01
16 pages
Article (Journal)
Electronic Resource
English
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