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TitleConcepts and application of the Canadian Urban Land Use Survey
 
AuthorZhang, Y; Guidon, B; Sun, K
SourceCanadian Journal of Remote Sensing vol. 36, no. 3, 2010 p. 224-235, https://doi.org/10.5589/m10-043
Image
Year2010
Alt SeriesEarth Sciences Sector, Contribution Series 20100292
PublisherInforma UK Limited
Documentserial
Lang.English
Mediapaper; on-line; digital
File formathtml; pdf
ProvinceBritish Columbia; Ontario; Quebec
NTS92G; 30M/11; 30M/12; 30M/13; 30M/14; 31G/05; 31G/12; 31H/12; 31H/13
AreaVancouver; Toronto; Ottawa; Montreal
Lat/Long WENS-124.0000 -122.0000 50.0000 49.0000
Lat/Long WENS-80.0000 -79.0000 43.7500 43.5000
Lat/Long WENS-75.5000 -75.5000 45.7500 45.2500
Lat/Long WENS-73.5000 -73.5000 46.0000 45.5000
Subjectsgeophysics; data collections; computer applications; land use; remote sensing
ProgramTopographic Mapping
Released2014 06 02
AbstractThe conceptual design and creation of an urban information base, the Canadian Urban Land Use Survey (CUrLUS), is described. This work has been undertaken in response to global trends in urbanization and the recognition that cities play a role as intensive consumers of resources and sources of pollution leading to environmental degradation. CUrLUS has been used to understand the impact of geospatial attributes of urban land use and demographics ("urban form") on these issues. Landsat Thematic Mapper has been employed to map land cover - land use of all Canadian urban centres with populations in excess of 200 000. Urban form has been quantified through the integration of Landsat-derived information with demographics, employment, and transportation statistics gathered for the national census by Statistics Canada. A temporal dimension to the database has been added by integrating historic urban growth information with the Landsat results. Intra-urban transportation is a major consumer of energy. CUrLUS has been employed to improve understanding of the relationship between urban form and travel effort through the quantification of relevant sustainability indicators and synoptic travel modeling.
GEOSCAN ID287242

 
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