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Publisher
national-and-kapodistrian-university-of-athens-nkua
Subjects
Land Use and Environmental Planning
Tags
local climate zones
urban climatology
License
CC-BY-SA 4.0 - Creative Commons Attribution-ShareAlike 4.0 International [Open Data]
  • Publishers
  • National and Kapodistrian University of Athens ...
  • Ταξινόμηση πόλεων σε αστικές Τοπικές ...

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Classification of cities into urban Local Climate Zones

Publication: 25-02-2022

Last revision: 25-02-2022

Description

Mapping of the urban areas of Athens, Larissa and Rethymno into Local Climate Zones (LCZ). Data are available as raster images at a 100 m resolution.

The LCZ classification system (Stewart & Oke, 2012) divides cities into discrete zones with specific urban form and function characteristics. Using remote sensing data, digital elevation models from the Hellenic Cadastre, and GIS data, we first derived urban morphological parameters, including the building height, the vegetation plan area fraction and the canyon aspect ratio. Then, each pixel was assigned using a decision tree to an LCZ, according to the range of possible values that an urban parameter can exhibit per zone.

Data and Resources

athens_lcz.tif
Local Climate Zones (LCZ) in the urban area of Athens at 100 meters resolution. Map projection: Universal Transverse...
Download
larissa_lcz.tif
Local Climate Zones (LCZ) in the urban area of Larissa at 100 meters resolution. Map projection: Universal Transverse...
Download
rethymno_lcz.tif
Local Climate Zones (LCZ) in the urban area of Rethymno at 100 meters resolution. Map projection: Universal...
Download

Services

Metadata

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License CC-BY-SA 4.0 - Creative Commons Attribution-ShareAlike 4.0 International
Title Ταξινόμηση πόλεων σε αστικές Τοπικές Κλιματικές Ζώνες
Title (English) Classification of cities into urban Local Climate Zones
Description (English) Mapping of the urban areas of Athens, Larissa and Rethymno into Local Climate Zones (LCZ). Data are available as raster images at a 100 m resolution. The LCZ classification system [(Stewart & Oke, 2012)](https://journals.ametsoc.org/view/journals/bams/93/12/bams-d-11-00019.1.xml) divides cities into discrete zones with specific urban form and function characteristics. Using remote sensing data, digital elevation models from the Hellenic Cadastre, and GIS data, we first derived urban morphological parameters, including the building height, the vegetation plan area fraction and the canyon aspect ratio. Then, each pixel was assigned using a decision tree to an LCZ, according to the range of possible values that an urban parameter can exhibit per zone.
Contact e-mail iliasaga@phys.uoa.gr
Creator Organization National and Kapodistrian University of Athens
Creator name Faculty of Physics, Remote Sensing and Image Processing Group
Related Publication 10.3390/cli7060075
Language English

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