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TitleLand Use and Cover with Intensity Assessment for Canada from Satellite and Census Data
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorKerr, J; Cihlar, J
SourceGlobal Ecology & Biogeography; 12, 2, 2003 p. 161-172, Open Access logo Open Access
Alt SeriesEarth Sciences Sector, Contribution Series 20043065
Mediapaper; on-line; digital
File formatpdf
Released2003 01 01
AbstractIn this paper, we describe a new system for the construction of both land use and land use intensity (within agricultural regions) called LUCIA (land use and cover with intensity of agriculture). Our methodology combines the highly detailed Canadian Census of Agriculture and recent growing season composites derived from the SPOT4/VEGETATION sensor. Census data are of much coarser resolution than the remotely sensed data, but, by removing non-agricultural pixels from each census sampling area, we were able to spatially refine the census data sufficiently to allow it to be used as ground truth data in some areas. The refinedcensus data were then used in the final step of an unsupervised classification of the remotely sensed data.

The results of the land use classification are generally consistent with the input census data, indicating that the LUCIA output reflects actual land use trends as determined by national census information. Land use intensity, defined as the principal component of census variables that relate to agricultural inputs and outputs (e.g. chemical inputs, fertilizer inputs, and manure outputs), is highest in the periphery of the great plains region of central Canada but is also very high in southern Ontario and Québec.


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