[Geodata] Automated Urban Land Use and Land Cover Classification
for Mesoscale Atmospheric Modeling over Canadian Cities
Alexandre Leroux
alexandre.leroux at ec.gc.ca
Thu Nov 20 16:03:42 EST 2008
Hi Geodata list,
The forwarded email below may interest Canadians on the list. The
approach described uses only open source software (including the obvious
GDAL/OGR) and mostly uses publicly available geospatial data.
Have a nice day,
Alex
--
Alexandre Leroux, M.Sc., Ing.
Environnement Canada / Environment Canada
Centre météorologique canadien / Canadian Meteorological Centre
Section de la réponse aux urgences environnementales /
Environmental Emergency Response Section
alexandre.leroux at ec.gc.ca
On 11/20/08 15:58, Alexandre Leroux wrote:
>
> Dear GeoNET list,
>
> I wanted to inform you of an article recently accepted for publication
> that could interest several of you. The article is named "Automated
> Urban Land Use and Land Cover Classification for Mesoscale Atmospheric
> Modeling over Canadian Cities" and will be on this ftp site for the
> next two weeks:
> ftp://depot.cmc.ec.gc.ca/upload/eer/people/Alex/lerouxa_urban-lulc_geomatica_v081120.pdf
>
>
> It is important to take into account that the approach described in
> this article is our 'old approach' developed about three years ago. We
> plan to update it by using CanVec (replacing the NTDB), SRTM-DEM
> CSI-CGIAR v4, Census 2006 and newly available 3D urban buildings for
> several Canadian cities. Our 'old results' are 44 urban classes at a
> 5-m spatial resolution for all major Canadian cities. The resulting
> classification is, in our opinion, quite interesting for urban areas
> (can be automatically generated for anywhere in Canada, but does not
> provide good results in non-urban areas). The process is fully
> automated and very flexible (e.g. can easily be modified and augmented
> to suit other needs than atmospheric modeling). The approach is simple
> and mostly uses publicly available data at its core and only open
> source software, so it is rather easy to duplicate the process.
>
> Here's the abstract:
>> An automated geospatial databases processing approach has been
>> developed in order to characterize urban areas of major Canadian
>> cities for their use in mesoscale atmospheric modeling. Mesoscale
>> atmospheric numerical models, including urban canopy models such as
>> the Town Energy Balance (TEB) model, require surface characteristics
>> to represent surface processes occurring in cities. The developed
>> methodology uses the following pan-Canadian databases: the National
>> Topographic Data Base (NTDB) vector data for land use and land cover
>> (LULC) characterization, the Shuttle Radar Topography Mission
>> (SRTM-DEM) and the Canadian Digital Elevation Data (CDED1) digital
>> elevation models (DEM) for building height assessment, and census
>> data for characteristics of residential districts. These databases
>> are jointly processed to automatically generate a high-resolution
>> urban LULC classification for Canadian cities.
>> The processing establishes the NTDB vector layer priority while
>> making use of some of the feature attributes. To complete the
>> information derived from the NTDB database, additional processing is
>> done such as a population density measurement and an optional
>> building height assessment. The final classes will be used, by means
>> of an associative process, to specify the inputs for urban
>> meteorological modeling. Results over Montreal and Vancouver are
>> presented, with a discussion of their benefits and limitations. The
>> approach compares favorably to previously available LULC
>> classifications for mesoscale atmospheric modeling in Canada (e.g.
>> Lemonsu et al., 2006 & 2008) and the main added benefits that this
>> approach has are (a) Canada-wide applicability with available
>> continuous databases, and (b) complete automation, with the exception
>> of optional post-processing.
>
> Have a nice day,
>
> Alex
> --
> Alexandre Leroux, M.Sc., Ing.
> Environnement Canada / Environment Canada
> Centre météorologique canadien / Canadian Meteorological Centre
> Section de la réponse aux urgences environnementales /
> Environmental Emergency Response Section
> alexandre.leroux at ec.gc.ca
>
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